Ralph Smith Dadashova, K., Smith, R. C., & Haider, M. A. (2024). Local Identifiability Analysis, Parameter Subset Selection and Verification for a Minimal Brain PBPK Model. BULLETIN OF MATHEMATICAL BIOLOGY, 86(2). https://doi.org/10.1007/s11538-023-01234-4 Smith, R. C. C. (2023, February). Controller Design for Distributed Parameter Systems. IEEE CONTROL SYSTEMS MAGAZINE, Vol. 43, pp. 98–100. https://doi.org/10.1109/MCS.2022.3216693 Rostkowski, P., Meurisse, J. B. E., Thornton, J. M., Smith, R. C., & Panesi, M. (2022). Effects of problem complexity reduction on parameter sensitivity and classification in charring ablator scenarios. AEROSPACE SCIENCE AND TECHNOLOGY, 124. https://doi.org/10.1016/j.ast.2022.107522 Michaud, I. J., Schmidt, K., Smith, R. C., & Mattingly, J. (2021). A hierarchical Bayesian model for background variation in radiation source localization. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1002. https://doi.org/10.1016/j.nima.2021.165288 Miles, P. R., Pash, G. T., Smith, R. C., & Oates, W. S. (2021). Bayesian inference and uncertainty propagation using efficient fractional-order viscoelastic models for dielectric elastomers. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 32(4), 486–496. https://doi.org/10.1177/1045389X20969847 Pearce, K. J., Nellenbach, K., Smith, R. C., Brown, A. C., & Haider, M. A. (2021). Modeling and Parameter Subset Selection for Fibrin Polymerization Kinetics with Applications to Wound Healing. BULLETIN OF MATHEMATICAL BIOLOGY, 83(5). https://doi.org/10.1007/s11538-021-00876-6 Miles, P. R., Cook, J. A., Angers, Z. V., Swenson, C. J., Kiedrowski, B. C., Mattingly, J., & Smith, R. C. (2021). Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations. NUCLEAR TECHNOLOGY, 207(1), 37–53. https://doi.org/10.1080/00295450.2020.1738796 Hollis, A. N., Smith, R. C., & Wilson, A. G. (2021). SURROGATE BASED MUTUAL INFORMATION APPROXIMATION AND OPTIMIZATION FOR URBAN SOURCE LOCALIZATION. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 11(5), 39–55. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021034400 Gao, W., Miles, P. R., Smith, R. C., & Oates, W. S. (2021, October 8). The maximum entropy method for data fusion and uncertainty quantification in multifunctional materials and structures. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, Vol. 10. https://doi.org/10.1177/1045389X211048220 Peerless, J. S., Kwansa, A. L., Hawkins, B. S., Smith, R. C., & Yingling, Y. G. (2021). Uncertainty Quantification and Sensitivity Analysis of Partial Charges on Macroscopic Solvent Properties in Molecular Dynamics Simulations with a Machine Learning Model. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 61(4), 1745–1761. https://doi.org/10.1021/acs.jcim.0c01204 Alexanderian, A., Gremaud, P. A., & Smith, R. C. (2020). Variance-based sensitivity analysis for time-dependent processes. RELIABILITY ENGINEERING & SYSTEM SAFETY, 196. https://doi.org/10.1016/j.ress.2019.106722 Gordon, N., Gilkey, L., Smith, R. C., Michaud, I., Williams, B., Mousseau, V., … Jones, C. (2019, December 2). A Mutual Information-Based Experimental Design Framework to Use High-Fidelity Nuclear Reactor Codes to Calibrate Low-Fidelity Codes. NUCLEAR TECHNOLOGY, Vol. 205, pp. 1685–1696. https://doi.org/10.1080/00295450.2019.1590073 Leon, L. S., Miles, P. R., Smith, R. C., & Oates, W. S. (2019). Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 30(14), 2027–2051. https://doi.org/10.1177/1045389X19853636 Cook, J. A., Smith, R. C., Hite, J. M., Stefanescu, R., & Mattingly, J. (2019). Application and Evaluation of Surrogate Models for Radiation Source Search. ALGORITHMS, 12(12). https://doi.org/10.3390/a12120269 Cleaves, H. L., Alexanderian, A., Guy, H., Smith, R. C., & Yu, M. (2019). DERIVATIVE-BASED GLOBAL SENSITIVITY ANALYSIS FOR MODELS WITH HIGH-DIMENSIONAL INPUTS AND FUNCTIONAL OUTPUTS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 41(6), A3524–A3551. https://doi.org/10.1137/19M1243518 Miles, P. R., Pash, G. T., Smith, R. C., & Oates, W. S. (2019). Global Sensitivity Analysis of Fractional-Order Viscoelasticity Models. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS XIII, Vol. 10968. https://doi.org/10.1117/12.2514160 Coleman, K. D., Lewis, A., Smith, R. C., Williams, B., Morris, M., & Khuwaileh, B. (2019). Gradient-Free Construction of Active Subspaces for Dimension Reduction in Complex Models with Applications to Neutronics. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 7(1), 117–142. https://doi.org/10.1137/16M1075119 Alexanderian, A., Reese, W., Smith, R. C., & Yu, M. (2019). Model Input and Output Dimension Reduction Using Karhunen-Loeve Expansions With Application to Biotransport. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 5(4). https://doi.org/10.1115/1.4044317 Olsen, C. H., Ottesen, J. T., Smith, R. C., & Olufsen, M. S. (2019, April). Parameter subset selection techniques for problems in mathematical biology. BIOLOGICAL CYBERNETICS, Vol. 113, pp. 121–138. https://doi.org/10.1007/s00422-018-0784-8 Bravo, N., & Smith, R. C. (2019). Parameter-dependent Surrogate Model Development for PZT Bimorph Actuators Employed for Micro-air Vehicles. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS XIII, Vol. 10968. https://doi.org/10.1117/12.2514246 Schmidt, K., Smith, R. C., Hite, J., Mattingly, J., Azmy, Y., Rajan, D., & Goldhahn, R. (2019). Sequential optimal positioning of mobile sensors using mutual information. STATISTICAL ANALYSIS AND DATA MINING, 12(6), 465–478. https://doi.org/10.1002/sam.11431 Stefanescu, R., Hite, J., Cook, J., Smith, R. C., & Mattingly, J. (2019). Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem. ALGORITHMS, 12(6). https://doi.org/10.3390/a12060113 Jones, J. L., Broughton, R., Iamsasri, T., Fancher, C. M., Wilson, A. G., Reich, B., & Smith, R. C. (2019). The use of Bayesian inference in the characterization of materials and thin films. ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, Vol. 75, pp. A211–A211. https://doi.org/10.1107/S0108767319097940 Liu, Y., Dinh, N. T., Smith, R. C., & Sun, X. (2019). Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 138, 1096–1116. https://doi.org/10.1016/j.ijheatmasstransfer.2019.04.075 Holodnak, J. T., Ipsen, I. C. F., & Smith, R. C. (2018). A PROBABILISTIC SUBSPACE BOUND WITH APPLICATION TO ACTIVE SUBSPACES. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 39(3), 1208–1220. https://doi.org/10.1137/17M1141503 Leon, L. S., Smith, R. C., Miles, P., & Oates, W. S. (2018). Active Subspace Uncertainty Quantification for a Polydomain Ferroelectric Phase-Field Model. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596. https://doi.org/10.1117/12.2297207 Leon, L., Smith, R. C., Oates, W. S., & Miles, P. (2018). Analysis of a multi-axial quantum-informed ferroelectric continuum model: Part 2—sensitivity analysis. Journal of Intelligent Material Systems and Structures, 29(13), 2840–2860. https://doi.org/10.1177/1045389x18781024 Brayfindley, E., Smith, R. C., Mattingly, J., & Brigantic, R. (2018). Automated Defect Detection in Spent Nuclear Fuel Using Combined Cerenkov Radiation and Gamma Emission Tomography Data. Nuclear Technology, 204(3), 343–353. https://doi.org/10.1080/00295450.2018.1490123 Paterson, A. R., Reich, B. J., Smith, R. C., Wilson, A. G., & Jones, J. L. (2018). Bayesian Approaches to Uncertainty Quantification and Structure Refinement from X-Ray Diffraction. In Materials Discovery and Design (pp. 81–102). https://doi.org/10.1007/978-3-319-99465-9_4 Lagergren, J., Reeder, A., Hamilton, F., Smith, R. C., & Flores, K. B. (2018). Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model. Bulletin of Mathematical Biology, 80(6), 1578–1595. https://doi.org/10.1007/s11538-018-0421-7 Bravo, N., Smith, R. C., & Crews, J. (2018). Uncertainty Quantification for PZT Bimorph Actuators. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596. https://doi.org/10.1117/12.2297148 Haque, S., Kindrat, L. P., Zhang, L., Mikheev, V., Kim, D., Liu, S., … Smith, R. C. (2018). Uncertainty-enabled design of electromagnetic reflectors with integrated shape control. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596. https://doi.org/10.1117/12.2300396 Iamsasri, T., Guerrier, J., Esteves, G., Fancher, C. M., Wilson, A. G., Smith, R. C., … Jones, J. L. (2017). A Bayesian approach to modeling diffraction profiles and application to ferroelectric materials. Journal of Applied Crystallography, 50(1), 211–220. https://doi.org/10.1107/S1600576716020057 McMahan, J. A., Jr., Williams, B. J., Smith, R. C., & Malaya, N. (2017). A Linear Regression Framework for the Verification of Bayesian Model Calibration Algorithms. Journal of Verification, Validation and Uncertainty Quantification, 2(2), 021006. https://doi.org/10.1115/1.4037705 Gao, W., Oates, W. S., & Smith, R. (2017). A maximum entropy approach for uncertainty quantification and analysis of multifunctional materials. Proceedings of the asme conference on smart materials adaptive. https://doi.org/10.1115/smasis2017-3919 Oates, W. S., & Smith, R. (2017). A multi-axial electromechanically-coupled homogenized energy model for ferroelectric materials. Proceedings of the asme conference on smart materials adaptive. https://doi.org/10.1115/smasis2017-3848 Wentworth, M. T., Smith, R. C., & Williams, B. (2017). Bayesian model calibration and uncertainty quantification for an HIV model using adaptive Metropolis algorithms. Inverse Problems in Science and Engineering, 26(2), 233–256. https://doi.org/10.1080/17415977.2017.1312365 Smith, R. C., & Zwart, H. (2017). CPDE special section. ANNUAL REVIEWS IN CONTROL, Vol. 44, pp. 183–183. https://doi.org/10.1016/j.arcontrol.2017.09.007 Bravo, N., Smith, R., & Crews, J. (2017). Data-driven model development and feedback control design for PZT bimorph actuators. Proceedings of the asme conference on smart materials adaptive. https://doi.org/10.1115/smasis2017-3847 Leon, L. S., Smith, R. C., Oates, W. S., & Miles, P. (2017). Global Sensitivity Analysis for a Quantum Informed Ferroelectric Phase Field Model. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2017, Vol. 10165. https://doi.org/10.1117/12.2259945 Ştefănescu, R., Schmidt, K., Hite, J., Smith, R. C., & Mattingly, J. (2017). Hybrid optimization and Bayesian inference techniques for a non-smooth radiation detection problem. International Journal for Numerical Methods in Engineering, 111(10), 955–982. https://doi.org/10.1002/nme.5491 Leon, L. S., Smith, R., Oates, W. S., & Miles, P. (2017). Identifiability and active subspace analysis for a polydomain ferroelectric phase field model. Proceedings of the asme conference on smart materials adaptive. https://doi.org/10.1115/smasis2017-3845 Bravo, N., Smith, R. C., & Crews, J. (2017). Surrogate Model Development and Feedforward Control Implementation for PZT Bimorph Actuators Employed for Robobee. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2017, Vol. 10165. https://doi.org/10.1117/12.2259948 Miles, P., Leon, L., Smith, R., & Oates, W. (2017). Uncertainty Analysis of Continuum Phase Field Modeling in 180 degrees Domain Wall Structures. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2017, Vol. 10165. https://doi.org/10.1117/12.2260130 Miles, P., Oates, W., Leon, L., & Smith, R. (2017). Uncertainty analysis of ferroelectric polydomain structures. Proceedings of the asme conference on smart materials adaptive. https://doi.org/10.1115/smasis2017-3916 Nelson, N., Azmy, Y., Gardner, R. P., Mattingly, J., Smith, R., Worrall, L. G., & Dewji, S. (2017). Validation and uncertainty quantification of detector response functions for a 1″×2″ NaI collimated detector intended for inverse radioisotope source mapping applications. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 410, 1–15. https://doi.org/10.1016/j.nimb.2017.07.015 Schmidt, K. L., & Smith, R. C. (2016). A PARAMETER SUBSET SELECTION ALGORITHM FORMIXED-EFFECTS MODELS. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 6(5), 405–416. https://doi.org/10.1615/int.j.uncertaintyquantification.2016016469 Smith, R. C., Anderson, I., Hartl, D., Atulasimha, J., Sarles, S. A., Wissa, A., & Shafer, M. (2016, October). Adaptive and active materials: selected papers from the ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 15) (Colorado Springs, CO, USA, 21-23 September 2015). SMART MATERIALS AND STRUCTURES, Vol. 25. https://doi.org/10.1088/0964-1726/25/10/100201 Lewis, A., Smith, R., Williams, B., & Figueroa, V. (2016). An information theoretic approach to use high-fidelity codes to calibrate low-fidelity codes. JOURNAL OF COMPUTATIONAL PHYSICS, 324, 24–43. https://doi.org/10.1016/j.jcp.2016.08.001 Hite, J. M., Mattingly, J. K., Schmidt, K. L., Stelanescu, R., & Smith, R. (2016). Bayesian metropolis methods applied to sensor networks for radiation source localization. 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 389–393. https://doi.org/10.1109/mfi.2016.7849519 Coleman, K. D., Schmidt, K., & Smith, R. C. (2016). Frequentist and Bayesian Lasso Techniques for Parameter Selection in Nonlinearly Parameterized Models. IFAC PAPERSONLINE, Vol. 49, pp. 416–421. https://doi.org/10.1016/j.ifacol.2016.10.201 Lewis, A., Smith, R., & Williams, B. (2016). Gradient free active subspace construction using Morris screening elementary effects. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 72(6), 1603–1615. https://doi.org/10.1016/j.camwa.2016.07.022 McMahan, J. A., Jr., & Smith, R. C. (2016). Parameter Estimation for Predictive Simulation of Oscillatory Systems with Model Discrepancy. IFAC PAPERSONLINE, Vol. 49, pp. 428–433. https://doi.org/10.1016/j.ifacol.2016.10.203 Wentworth, M. T., Smith, R. C., & Banks, H. T. (2016). Parameter Selection and Verification Techniques Based on Global Sens Analysis Illustrated for an HIV Model. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 4(1), 266–297. https://doi.org/10.1137/15m1008245 Oates, W. S., Miles, P., Leon, L., & Smith, R. (2016). Uncertainty analysis of continuum scale ferroelectric energy landscapes using density functional theory. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2016, Vol. 9800. https://doi.org/10.1117/12.2219273 Fancher, C. M., Han, Z., Levin, I., Page, K., Reich, B. J., Smith, R. C., … Jones, J. L. (2016). Use of Bayesian Inference in Crystallographic Structure Refinement via Full Diffraction Profile Analysis. Scientific Reports, 6(1), 31625. https://doi.org/10.1038/srep31625 Miles, P., Hays, M., Smith, R., & Oates, W. (2015). Bayesian uncertainty analysis of finite deformation viscoelasticity. MECHANICS OF MATERIALS, 91, 35–49. https://doi.org/10.1016/j.mechmat.2015.07.002 Hu, Z., Smith, R. C., Burch, N., Hays, M., & Oates, W. S. (2014). A modeling and uncertainty quantification framework for a flexible structure with macrofiber composite actuators operating in hysteretic regimes. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 25(2), 204–228. https://doi.org/10.1177/1045389x13489781 Wentworth, M. T., & Smith, R. (2014). Construction of Bayesian prediction intervals for smart systems. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems - 2013, vol 1. https://doi.org/10.1115/smasis2013-3168 Hu, Z., Smith, R. C., Willert, J., & Kelley, C. T. (2014). High-Dimensional Model Representations for the Neutron Transport Equation. NUCLEAR SCIENCE AND ENGINEERING, 177(3), 350–360. https://doi.org/10.13182/nse13-52 Lewis, A. L., McMahan, J. A., & Smith, R. (2014). Model calibration for beam models in the presence of model discrepancy. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2014, vol 1. https://doi.org/10.1115/smasis2014-7722 Crews, J. H., & Smith, R. C. (2014). Quantification of parameter and model uncertainty for shape memory alloy bending actuators. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 25(2), 229–245. https://doi.org/10.1177/1045389x13490842 Smith, R., Wereley, N. M., Myers, O., Dragoni, E., Ruggiero, E., & Loh, K. J. (2014, June). Special Issue: 2012 ASME Conference on Smart Materials, Adaptive Structures, and Intelligent Systems Preface. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, Vol. 25, pp. 1039–1040. https://doi.org/10.1177/1045389x14535539 Smith, R. C. (2014). Uncertainty Quantification: Theory, Implementation and Applications. Philadelphia: SIAM. Miles, P., Hays, M., Smith, R., & Oates, W. S. (2014). Uncertainty analysis of a finite deformation viscoelastic model. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2014, vol 2. https://doi.org/10.1115/smasis2014-7440 McMahan, J. A., & Smith, R. (2014). ncertainty quantification for robust control design of smart material systems. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems - 2013, vol 1. https://doi.org/10.1115/smasis2013-3166 Matthews, J. L., Smith, R. C., & Fiscus, E. L. (2013). CONFIDENCE INTERVAL ESTIMATION FOR AN EMPIRICAL MODEL QUANTIFYING THE EFFECT OF SOIL MOISTURE AND PLANT DEVELOPMENT ON SOYBEAN (GLYCINE MAX (L.) MERR.) LEAF CONDUCTANCE. International Journal of Pure and Apllied Mathematics, 83(3). https://doi.org/10.12732/ijpam.v83i3.6 Kenz, Z. R., Banks, H. T., & Smith, R. C. (2013). Comparison of Frequentist and Bayesian Confidence Analysis Methods on a Viscoelastic Stenosis Model. SIAM/ASA Journal on Uncertainty Quantification, 1(1), 348–369. https://doi.org/10.1137/130917867 Crews, J. H., Smith, R., & Hannen, J. C. (2013). Development of robust control algorithms for shape memory alloy bending actuators. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 391–400. https://doi.org/10.1115/smasis2012-7989 Hu, Z. Z., Smith, R. C., Burch, N., Hays, M., & Oates, W. S. (2013). Homogenized energy model and markov chain Monte Carlo simulations for macro fiber composites operating in broadband regimes. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 321–327. McMahan, J. A., Crews, J. H., & Smith, R. (2013). Inversion algorithms for the homogenized energy model for hysteresis in ferroelectric and shape memory alloy compounds. Journal of Intelligent Material Systems and Structures, 24(15), 1796–1821. https://doi.org/10.1177/1045389x12471868 Crews, J. H., McMahan, J. A., Smith, R. C., & Hannen, J. C. (2013). Quantification of parameter uncertainty for robust control of shape memory alloy bending actuators. SMART MATERIALS AND STRUCTURES, 22(11). https://doi.org/10.1088/0964-1726/22/11/115021 Matthews, J. L., Fiscus, E. L., Smith, R. C., & Heitman, J. L. (2013). Quantifying Plant Age and Available Water Effects on Soybean Leaf Conductance. Agronomy Journal, 105(1), 28–36. https://doi.org/10.2134/agronj2012.0263 McMahan, J. A., & Smith, R. C. (2013). Sliding mode control for inverse compensated hysteretic smart systems. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 335–344. Blaircum, L. V., & Smith, R. (2013). The homogenized energy model for characterizing magnetization and strains in ferromagnetic materials. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 489–496. https://doi.org/10.1115/smasis2012-8137 Hu, Z. Z., & Smith, R. (2012). A strain model for piezoelectric materials operating in highly hysteretic regimes. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent systems (SMASIS 2011), vol 2, 241–249. https://doi.org/10.1115/smasis2011-5073 Hu, Z., Smith, R. C., & Ernstberger, J. M. (2012, May 1). Data-driven techniques to estimate parameters in a rate-dependent ferromagnetic hysteresis model. PHYSICA B-CONDENSED MATTER, Vol. 407, pp. 1394–1398. https://doi.org/10.1016/j.physb.2011.06.084 Crews, J. H., Smith, R. C., Pender, K. M., Hannen, J. C., & Buckner, G. D. (2012). Data-driven techniques to estimate parameters in the homogenized energy model for shape memory alloys. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(17), 1897–1920. https://doi.org/10.1177/1045389x12453965 Crews, J. H., & Smith, R. (2012). Density function optimization for the homogenized energy model of shape memory alloys. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 2011), vol 1, 371–379. https://doi.org/10.1115/smasis2011-5036 Smith, R. C., & Hu, Z. (2012). Homogenized energy model for characterizing polarization and strains in hysteretic ferroelectric materials: Material properties and uniaxial model development. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(16), 1833–1867. https://doi.org/10.1177/1045389x12453967 Crews, J. H., & Smith, R. C. (2012). Modeling and Bayesian Parameter Estimation for Shape Memory Alloy Bending Actuators. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2012, Vol. 8342. https://doi.org/10.1117/12.914792 McMahan, J. A., & Smith, R. C. (2012). Sliding Mode Control Design for Hysteretic Ferroelectric Materials. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2012, Vol. 8342. https://doi.org/10.1117/12.914631 Hu, Z., Smith, R. C., & Ernstberger, J. (2012). The homogenized energy model for characterizing polarization and strains in hysteretic ferroelectric materials: Implementation algorithms and data-driven parameter estimation techniques. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(16), 1869–1894. https://doi.org/10.1177/1045389x12453968 McMahan, J. A., & Smith, R. C. (2011). Adaptive Control Design for Hysteretic Smart Systems. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2011, Vol. 7978. https://doi.org/10.1117/12.884621 Hu, Z., Smith, R. C., Stuebner, M., Hays, M., & Oates, W. S. (2011). Statistical Parameter Estimation for Macro Fiber Composite Actuators using the Homogenized Energy Model. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2011, Vol. 7978. https://doi.org/10.1117/12.884622 Oates, W. S., Zrostlik, R., Eichhorn, S., & Smith, R. (2010). A Non-linear Optimal Control Design using Narrowband Perturbation Feedback for Magnetostrictive Actuators. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 21(16), 1681–1693. https://doi.org/10.1177/1045389x10386398 Proctor, W. C., Richards, G. P., Shen, C., Skorczewski, T., Wang, M., Zhang, J., … Smith, R. (2010). Design of RF MEMS Switches without Pull-in Instability. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2010, Vol. 7644. https://doi.org/10.1117/12.848045 Stuebner, M., & Smith, R. C. (2010). Inverse Model Construction for Control Implementation of Macro Fiber Composite Actuators Operating in Hysteretic Regimes. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2010, Vol. 7644. https://doi.org/10.1117/12.848256 May, S. F., & Smith, R. C. (2010). Proper Orthogonal Decomposition with Updates for Efficient Control Design in Smart Material Systems. BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2010, Vol. 7644. https://doi.org/10.1117/12.847579 Demetriou, M. A., Ito, K., & Smith, R. C. (2009). Adaptive techniques for the MRAC, adaptive parameter identification, and on-line fault monitoring and accommodation for a class of positive real infinite dimensional systems. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 23(2), 193–215. https://doi.org/10.1002/acs.1058 Oates, W. S., Evans, P. G., Smith, R., & Dapino, M. J. (2009). Experimental implementation of a hybrid nonlinear control design for magnetostrictive actuators. Journal of Dynamic Systems, Measurement, and Control, 131(4). https://doi.org/10.21236/ada459020 Banks, H. T., & Smith, R. C. (2009). Numerical Techniques for Simulation, Parameter Estimation, and Noise Control in Structural Acoustic Systems. In H. S. Tzou & L. A. Bergman (Eds.), Dynamics and Control of Distributed Systems (pp. 202–263). https://doi.org/10.1017/cbo9780511530180.006 Oates, W. S., & Smith, R. C. (2009). Optimal Tracking Using Magnetostrictive Actuators Operating in Nonlinear and Hysteretic Regimes. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 131(3). https://doi.org/10.1115/1.3072093 Stuebner, M., Atulasimha, J., & Smith, R. C. (2009, October). Quantification of hysteresis and nonlinear effects on the frequency response of ferroelectric and ferromagnetic materials. SMART MATERIALS AND STRUCTURES, Vol. 18. https://doi.org/10.1088/0964-1726/18/10/104019 Braun, T. R., & Smith, R. C. (2008). High Speed Model Implementation and Inversion Techniques for Ferroelectric and Ferromagnetic Transducers. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 19(11), 1295–1310. https://doi.org/10.1177/1045389X07085638 Oates, W. S., & Smith, R. C. (2008). Nonlinear optimal control techniques for vibration attenuation using magnetostrictive actuators. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 19(2), 193–209. https://doi.org/10.1177/1045389X06074159 Ball, B. L., Smith, R. C., Kim, S.-J., & Seelecke, S. (2007). A stress-dependent hysteresis model for ferroelectric materials. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 18(1), 69–88. https://doi.org/10.1177/1045389X07070937 Lenczner, M., & Smith, R. C. (2007). A two-scale model for an array of AFM's cantilever in the static case. MATHEMATICAL AND COMPUTER MODELLING, 46(5-6), 776–805. https://doi.org/10.1016/j.mcm.2006.12.028 Demetriou, M. A., Ito, K., & Smith, R. C. (2007). Adaptive monitoring and accommodation of nonlinear actuator faults in positive real infinite dimensional systems. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 52(12), 2332–2338. https://doi.org/10.1109/TAC.2007.910694 Nealis, J. M., & Smith, R. C. (2007). Model-based robust control design for magnetostrictive transducers operating in hysteretic and nonlinear regimes. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 15(1), 22–39. https://doi.org/10.1109/TCST.2006.883235 Smith, R. C., Dapino, M. J., Braun, T. R., & Mortensen, A. P. (2006). A homogenized energy framework for ferromagnetic hysteresis. IEEE TRANSACTIONS ON MAGNETICS, 42(7), 1747–1769. https://doi.org/10.1109/TMAG.2006.875717 Smith, R. C., & Dapino, M. J. (2006). A homogenized energy model for the direct magnetomechanical effect. IEEE TRANSACTIONS ON MAGNETICS, 42(8), 1944–1957. https://doi.org/10.1109/TMAG.2006.875705 Smith, R. C., Seelecke, S., Dapino, M., & Ounaies, Z. (2006). A unified framework for modeling hysteresis in ferroic materials. JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 54(1), 46–85. https://doi.org/10.1016/j.jmps.2005.08.006 Hatch, A. G., Smith, R. C., De, T., & Salapaka, M. V. (2006). Construction and experimental implementation of a model-based inverse filter to attenuate hysteresis in ferroelectric transducers. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 14(6), 1058–1069. https://doi.org/10.1109/TCST.2006.883195 Braun, T. R., & Smith, R. C. (2006). Efficient implementation algorithms for homogenized energy models. CONTINUUM MECHANICS AND THERMODYNAMICS, 18(3-4), 137–155. https://doi.org/10.1007/s00161-006-0015-8 Braun, T. R., Smith, R. C., & Dapino, M. J. (2006). Experimental validation of a homogenized energy model for magnetic after-effects. APPLIED PHYSICS LETTERS, 88(12). https://doi.org/10.1063/1.2188595 Smith, R. C., Hatch, A. G., De, T., Salapaka, M. V., Del Rosario, R. C. H., & Raye, J. K. (2006). Model development for atomic force microscope stage mechanisms. SIAM JOURNAL ON APPLIED MATHEMATICS, 66(6), 1998–2026. https://doi.org/10.1137/05063307X Matthews, J. L., Lada, E. K., Weiland, L. M., Smith, R. C., & Leo, D. J. (2006). Monte Carlo simulation of a solvated ionic polymer with cluster morphology. SMART MATERIALS & STRUCTURES, 15(1), 187–199. https://doi.org/10.1088/0964-1726/15/1/048 Smith, R. C., Hatch, A. G., Mukherjee, B., & Liu, S. F. (2005). A homogenized energy model for hysteresis in ferroelectric materials: General density formulation. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 16(9), 713–732. https://doi.org/10.1177/1045389X05054789 Massad, J. E., & Smith, R. C. (2005). A homogenized free energy model for hysteresis in thin-film shape memory alloys. THIN SOLID FILMS, 489(1-2), 266–290. https://doi.org/10.1016/j.tsf.2005.04.079 Seelecke, S., Kim, S. J., Ball, B. L., & Smith, R. C. (2005). A rate-dependent two-dimensional free energy model for ferroelectric single crystals. CONTINUUM MECHANICS AND THERMODYNAMICS, 17(4), 337–350. https://doi.org/10.1007/s00161-005-0207-7 Smith, R. C., & Hom, C. L. (2005). A temperature-dependent constitutive model for relaxor ferroelectrics. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 16(5), 433–448. https://doi.org/10.1177/1045389x05051699 Weiland, L. M., Lada, E. K., Smith, R. C., & Leo, D. J. (2005). Application of rotational isomeric state theory to ionic polymer stiffness predictions. JOURNAL OF MATERIALS RESEARCH, 20(9), 2443–2455. https://doi.org/10.1557/JMR.2005.0292 Smith, R. C., & Hatch, A. G. (2005). Parameter estimation techniques for a class of nonlinear hysteresis models. INVERSE PROBLEMS, 21(4), 1363–1377. https://doi.org/10.1088/0266-5611/21/4/011 Smith, R. C. (2005). Smart Material Systems: Model Development. Philadelphia: SIAM. V.N. Melnik, R., Smith, R., & Shillor, M. (2005). The Fourth World Congress of Nonlinear Analysts: Modelling, control and analysis of coupled problems, processes and phenomena. Nonlinear Analysis: Theory, Methods & Applications, 63(5-7), e1421–e1423. https://doi.org/10.1016/j.na.2005.01.041 Massad, J. E., & Smith, R. (2003). A domain wall model for hysteresis in ferroelastic materials. Journal of Intelligent Material Systems and Structures, 14(7), 455–471. https://doi.org/10.1177/104538903035235 Smith, R. C., Seelecke, S., Ounaies, Z., & Smith, J. (2003). A Free Energy Model for Hysteresis in Ferroelectric Materials. Journal of Intelligent Material Systems and Structures, 14(11), 719–739. https://doi.org/10.1177/1045389X03038841 Smith, R. C., Dapino, M. J., & Seelecke, S. (2003). Free energy model for hysteresis in magnetostrictive transducers. JOURNAL OF APPLIED PHYSICS, 93(1), 458–466. https://doi.org/10.1063/1.1524312 Smith, R., & Demetriou, M. (2003). Research Directions in Distributed Parameter Systems (R. C. Smith & M. A. Demetriou, Eds.). https://doi.org/10.1137/1.9780898717525 Dapino, M. J., Smith, R., Calkins, F. T., & Flatau, A. B. (2002). A coupled magnetomechanical model for magnetostrictive transducers and its application to Villari-effect sensors. Journal of Intelligent Material Systems and Structures, 13(11), 737–747. https://doi.org/10.1177/104538902032737 Bortz, D. M., Rubio, A. D., Banks, H. T., Cain, A. B., & Smith, R. C. (2002). Control of Open Bay Acoustics by Harmonic Mass Injection. International Journal of Aeroacoustics, 1(1), 65–81. https://doi.org/10.1260/1475472021502677 Smith, R. C. (2001). Inverse compensation for hysteresis in magnetostrictive transducers. MATHEMATICAL AND COMPUTER MODELLING, Vol. 33, pp. 285–298. https://doi.org/10.1016/S0895-7177(00)00245-4 Dapino, M. J., Smith, R., Faidley, L. E., & Flatau, A. B. (2000). A coupled structural-magnetic strain and stress model for magnetostrictive transducers. Journal of Intelligent Material Systems and Structures, 11(2), 135–152. https://doi.org/10.1106/MJ6A-FBP9-9M61-0E1F Smith, R. C., & Ounaies, Z. (2000). A domain wall model for hysteresis in piezoelectric materials. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 11(1), 62–79. https://doi.org/10.1177/104538900772664413 Piquette, J. C., & Smith, R. C. (2000). Analysis and comparison of four anhysteretic polarization models for lead magnesium niobate. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 108(4), 1651–1662. https://doi.org/10.1121/1.1310670 Calkins, F. T., Smith, R. C., & Flatau, A. B. (2000). Energy-based hysteresis model for magnetostrictive transducers. IEEE TRANSACTIONS ON MAGNETICS, 36(2), 429–439. https://doi.org/10.1109/20.825804 Gremaud, P. A., Li, Z., Smith, R. C., & Tran, H. T. (Eds.). (2000). Industrial Mathematics: The 1998 CRSC Workshop. Philadelphia: SIAM. Industrial Mathematics: The 1998 CRSC Workshop. (2000). SIAM. Chandrasekaran, S., Lindner, D. K., & Smith, R. C. (2000). Optimized design of switching amplifiers for piezoelectric actuators. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 11(11), 887–901. https://doi.org/10.1106/XFC7-PD82-LDFC-T2R9 Banks, H. T., Rosario, R. C. H., & Smith, R. C. (2000). Reduced-order model feedback control design: Numerical implementation in a thin shell model. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 45(7), 1312–1324. https://doi.org/10.1109/9.867024 Dapino, M. J., Smith, R. C., & Flatau, A. B. (2000). Structural magnetic strain model for magnetostrictive transducers. IEEE TRANSACTIONS ON MAGNETICS, 36(3), 545–556. https://doi.org/10.1109/20.846217 Smith, R. C., & Hom, C. L. (1999). Domain wall theory for ferroelectric hysteresis. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 10(3), 195–213. https://doi.org/10.1106/LJBM-RW18-MXW1-QXD0 Smith, R. C. (1998). A nonlinear optimal control method for magnetostrictive actuators. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 9(6), 468–486. https://doi.org/10.1177/1045389X9800900608 Smith, R. C. (1998). Hysteresis Modeling in Magnetostrictive Materials Via Preisach Operators. Journal of Mathematical Systems, Estimation and Control, 8(2). Del Rosario, R. C. H., & Smith, R. C. (1998). LQR control of thin shell dynamics: Formulation and numerical implementation. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 9(4), 301–320. https://doi.org/10.1177/1045389X9800900408 Banks, H. T., Demetriou, M. A., & Smith, R. C. (1998). Utilization of coupling effects in compensator design for structural acoustic systems. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 103(2), 872–887. https://doi.org/10.1121/1.421205 Smith, R. C. (1997). A Galerkin Method for Linear PDE Systems in Circular Geometries with Structural Acoustic Problems. SIAM Journal on Scientific Computing, 18(2), 371–402. https://doi.org/10.1137/s1064827594268531 Banks, H. T., Smith, R. C., & Zhang, Y. (1997). Damage Detection as Inverse Problems for Distributed Parameter Systems: Computational Approaches. International Journal of Applied Electromagnetics and Mechanics, 8, 61–76. Banks, H. T., Smith, R. C., Brown, D. E., Silcox, R. J., & Metcalf, V. L. (1997). Experimental confirmation of a PDE-based approach to design of feedback controls. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 35(4), 1263–1296. https://doi.org/10.1137/S0363012995285909 Smith, R. C., Bowers, K. L., & Vogel, C. R. (1997). Numerical Recovery of Material Parameters in Euler-Bernoulli Beam Models. Journal of Mathematical Systems, Estimation and Control, 7(2), 157–195. Rosario, R. C. D., & Smith, R. (1997). Spline approximation of thin shell dynamics. International Journal for Numerical Methods in Engineering, 40(15), 2807–2840. https://doi.org/10.1002/(sici)1097-0207(19970815)40:15<2807::aid-nme192>3.0.co;2-h Banks, H. T., Smith, R. C., Brown, D. E., Metcalf, V. L., & Silcox, R. J. (1997). THE ESTIMATION OF MATERIAL AND PATCH PARAMETERS IN A PDE-BASED CIRCULAR PLATE MODEL. Journal of Sound and Vibration, 199(5), 777–799. https://doi.org/10.1006/jsvi.1996.0649 Banks, H. T., Demitriou, M. A., & Smith, R. C. (1996). An H∞/MinMax Periodic Control in a 2-D Structural Acoustic Model with Piezoceramic Actuators. IEEE Transactions on Automatic Control, 41(7), 943–959. https://doi.org/10.1109/9.508899 Banks, H. T., Smith, R. C., & Wang, Y. (1996). Inverse problems in smart material structures. Journal of Inverse and Ill-Posed Problems, 4(5). https://doi.org/10.1515/jiip.1996.4.5.371 Banks, H. T., & Smith, R. C. (1996). Parameter estimation in a structural acoustic system with fully nonlinear coupling conditions. Mathematical and Computer Modelling, 23(4), 17–50. https://doi.org/10.1016/0895-7177(96)00002-7 Banks, H. T., Demetriou, M. A., & Smith, R. C. (1996). Robustness studies for H∞ feedback control in a structural acoustic model with periodic excitation. International Journal of Robust and Nonlinear Control, 6(5), 453–478. https://doi.org/10.1002/(sici)1099-1239(199606)6:5<453::aid-rnc222>3.0.co;2-5 Banks, H. T., Smith, R. C., & Wang, Y. (1996). Smart Material Structures: Modeling, Estimation and Control. Paris/Chichester: Masson/John Wiley. Banks, H. T., & Smith, R. C. (1995). Active Control of Acoustic Pressure Fields Using Smart Material Technologies. In Flow Control (pp. 1–33). https://doi.org/10.1007/978-1-4612-2526-3_1 Banks, H. T., Smith, R. C., & Wang, Y. (1995). The modeling of piezoceramic patch interactions with shells, plates, and beams. Quarterly of Applied Mathematics, 53(2), 353–381. https://doi.org/10.1090/qam/1330657 Banks, H. T., & Smith, R. C. (1995). Well-Posedness of a Model for Structural Acoustic Coupling in a Cavity Enclosed by a Thin Cylindrical Shell. Journal of Mathematical Analysis and Applications, 191(1), 1–25. https://doi.org/10.1016/s0022-247x(85)71117-1 Smith, R. C., & Banks, H. T. (1994). Feedback control of noise in a 2-D nonlinear structural acoustics model. Discrete and Continuous Dynamical Systems, 1(1), 119–149. https://doi.org/10.3934/dcds.1995.1.119 Banks, H. T., Silcox, R. J., & Smith, R. C. (1994). Modeling and Control of Acoustic Structure Interaction Problems Via Piezoceramic Actuators: 2-D Numerical Examples. Journal of Vibration and Acoustics, 116(3), 386. https://doi.org/10.1115/1.2930440 Banks, H. T., Fang, W., Silcox, R. J., & Smith, R. C. (1993). Approximation Methods for Control of Structural Acoustics Models with Piezoceramic Actuators. Journal of Intelligent Material Systems and Structures, 4(1), 98–116. https://doi.org/10.1177/1045389x9300400113 Banks, H. T., & Smith, R. C. (1993). Models for Control in Smart Material Structures. In Identification and Control in Systems Governed by Partial Differential Equations (pp. 26–44). Philadelphia: SIAM. Smith, R. C., & Bowers, K. L. (1993). Sinc-Galerkin estimation of diffusivity in parabolic problems. Inverse Problems, 9(1), 113–135. https://doi.org/10.1088/0266-5611/9/1/007 Smith, R. C., Bowers, K. L., & Lund, J. (1992). A fully Sinc-Galerkin method for Euler-Bernoulli beam models. Numerical Methods for Partial Differential Equations, 8(2), 171–202. https://doi.org/10.1002/num.1690080207 McArthur, K. M., Smith, R. C., Lund, J., & Bowers, K. L. (1992). The Sinc-Galerkin method for parameter-dependent self-adjoint problems. Applied Mathematics and Computation, 50(2-3), 175–202. https://doi.org/10.1016/0096-3003(92)90125-k Smith, R. C., Bogar, G. A., Bowers, K. L., & Lund, J. (1991). The Sinc-Galerkin Method for Fourth-Order Differential Equations. SIAM Journal on Numerical Analysis, 28(3), 760–788. https://doi.org/10.1137/0728041