Nitin Sharma

Singh, M., Lambeth, K., Iyer, A., & Sharma, N. (2024). Dynamic Active Subspaces for Model Predictive Allocation in Over-Actuated Systems. IEEE CONTROL SYSTEMS LETTERS, 8, 145–150. https://doi.org/10.1109/LCSYS.2023.3342094

Xue, X., Wu, H., Cai, Q., Chen, M., Moon, S., Huang, Z., … Jiang, X. (2024). Flexible Ultrasonic Transducers for Wearable Biomedical Applications: A Review on Advanced Materials, Structural Designs, and Future Prospects. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. https://doi.org/10.1109/TUFFC.2023.3333318

Iyer, A., Singh, M., & Sharma, N. (2023). Cooperative Control of a Hybrid Exoskeleton Using Optimal Time Varying Impedance Parameters During Stair Ascent. 2023 AMERICAN CONTROL CONFERENCE, ACC, pp. 2739–2744. https://doi.org/10.23919/ACC55779.2023.10156039

Singh, M., & Sharma, N. (2023). Data-driven Model Predictive Control for Drop Foot Correction. 2023 AMERICAN CONTROL CONFERENCE, ACC, pp. 2615–2620. https://doi.org/10.23919/ACC55779.2023.10156600

Altaf, M. A., Sharma, N., Srivastava, D., Mandal, S., Adavi, S., Jena, R., … Ahmed, P. (2023). [Review of Deciphering the melatonin-mediated response and signalling in the regulation of heavy metal stress in plants]. PLANTA, 257(6). https://doi.org/10.1007/s00425-023-04146-8

Xue, X., Zhang, B., Moon, S., Xu, G.-X., Huang, C.-C., Sharma, N., & Jiang, X. (2023). Development of a Wearable Ultrasound Transducer for Sensing Muscle Activities in Assistive Robotics Applications. BIOSENSORS-BASEL, 13(1). https://doi.org/10.3390/bios13010134

Zhang, Q., Lambeth, K., Sun, Z., Dodson, A., Bao, X., & Sharma, N. (2023, February 9). Evaluation of a Fused Sonomyography and Electromyography-Based Control on a Cable-Driven Ankle Exoskeleton. IEEE TRANSACTIONS ON ROBOTICS, Vol. 2. https://doi.org/10.1109/TRO.2023.3236958

Xue, X., Iyer, A., & Sharma, N. (2023). Koopman-based Data-driven Model Predictive Control of Limb Tremor Dynamics with Online Model Updating: A Theoretical Modeling and Simulation Approach. 2023 AMERICAN CONTROL CONFERENCE, ACC, pp. 2873–2878. https://doi.org/10.23919/ACC55779.2023.10156240

Xue, X., Iyer, A., Roque, D., & Sharma, N. (2023). Nonlinear System Identification of Tremors Dynamics: A Data-driven Approximation Using Koopman Operator Theory. 2023 11TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, NER. https://doi.org/10.1109/NER52421.2023.10123909

Lambeth, K., Singh, M., & Sharma, N. (2023). Robust Control Barrier Functions for Safety Using a Hybrid Neuroprosthesis. 2023 AMERICAN CONTROL CONFERENCE, ACC, pp. 54–59. https://doi.org/10.23919/ACC55779.2023.10155862

Sharma, N., Xue, X., Iyer, A., Jiang, X., & Roque, D. (2023). Towards ultrasound imaging-based closed-loop peripheral nerve stimulation for tremor suppression. CURRENT OPINION IN BIOMEDICAL ENGINEERING, 28. https://doi.org/10.1016/j.cobme.2023.100484

Sheng, Z., Iyer, A., Sun, Z., Kim, K., & Sharma, N. (2022, May 19). A Hybrid Knee Exoskeleton Using Real-Time Ultrasound-Based Muscle Fatigue Assessment. IEEE-ASME TRANSACTIONS ON MECHATRONICS, Vol. 5. https://doi.org/10.1109/TMECH.2022.3171086

Molazadeh, V., Zhang, Q., Bao, X., & Sharma, N. (2022). An Iterative Learning Controller for a Switched Cooperative Allocation Strategy During Sit-to-Stand Tasks with a Hybrid Exoskeleton. IEEE Transactions on Control Systems Technology, 30(3), 1021–1036. https://doi.org/10.1109/TCST.2021.3089885

Sun, Z., Qiu, T., Iyer, A., Dicianno, B. E., & Sharma, N. (2022, June 21). Continuous Switching Control of an Input-Delayed Antagonistic Muscle Pair During Functional Electrical Stimulation. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Vol. 6. https://doi.org/10.1109/TCST.2022.3178935

Xue, X., Zhang, B., Moon, S., Xu, G.-X., Huang, C.-C., Sharma, N., & Jiang, X. (2022). Development of a wearable ultrasound transducer for sensing muscle activities in assistive robotics applications: In vivo study. 2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS). https://doi.org/10.1109/IUS54386.2022.9958535

Bulea, T. C., Sharma, N., Sikdar, S., & Su, H. (2022, June 22). Editorial: Next Generation User-Adaptive Wearable Robots. FRONTIERS IN ROBOTICS AND AI, Vol. 9. https://doi.org/10.3389/frobt.2022.920655

Zhang, Q., Fragnito, N., Franz, J. R., & Sharma, N. (2022, January 11). Fused Ultrasound And Electromyography-Driven Neuromuscular Model To Improve Plantarflexion Moment Prediction Across Walking Speeds. https://doi.org/10.21203/rs.3.rs-1136552/v1

Zhang, Q., Fragnito, N., Franz, J. R., & Sharma, N. (2022). Fused Ultrasound and Electromyography-driven Neuromuscular Model to Improve Plantarflexion Moment Prediction across Walking Speeds. ResearchSquare. https://doi.org/10.21203/rs.3.rs-1136552

Zhang, Q., Fragnito, N., Franz, J. R., & Sharma, N. (2022). Fused ultrasound and electromyography-driven neuromuscular model to improve plantarflexion moment prediction across walking speeds. Journal of NeuroEngineering and Rehabilitation, 19(1). https://doi.org/10.1186/s12984-022-01061-z

Zhang, Q., Clark, W. H., Franz, J. R., & Sharma, N. (2022). Personalized fusion of ultrasound and electromyography-derived neuromuscular features increases prediction accuracy of ankle moment during plantarflexion. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 71. https://doi.org/10.1016/j.bspc.2021.103100

Zhang, Q., Iyer, A., Lambeth, K., Kim, K., & Sharma, N. (2022). Ultrasound Echogenicity as an Indicator of Muscle Fatigue during Functional Electrical Stimulation. SENSORS, 22(1). https://doi.org/10.3390/s22010335

Zhang, Q., Lambeth, K., Iyer, A., Sun, Z., & Sharma, N. (2022, September 30). Ultrasound Imaging-Based Closed-Loop Control of Functional Electrical Stimulation for Drop Foot Correction. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Vol. 9. https://doi.org/10.1109/TCST.2022.3207999

Zhang, Q., Iyer, A., & Sharma, N. (2022). Ultrasound-Based Sensing and Control of Functional Electrical Stimulation for Ankle Joint Dorsiflexion: Preliminary Study. In Biosystems and Biorobotics (Vol. 27, pp. 307–311). https://doi.org/10.1007/978-3-030-69547-7_50

Zhang, Q., Iyer, A., Sun, Z., Kim, K., & Sharma, N. (2021). A Dual-Modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 29, 1944–1954. https://doi.org/10.1109/TNSRE.2021.3106900

Sun, Z., Bao, X., Zhang, Q., Lambeth, K., & Sharma, N. (2021). A Tube-based Model Predictive Control Method for Joint Angle Tracking with Functional Electrical Stimulation and An Electric Motor Assist. 2021 American Control Conference (ACC), 2021-May, 1390–1395. https://doi.org/10.23919/acc50511.2021.9483084

Bao, X., Sheng, Z., Dicianno, B., & Sharma, N. (2021). A Tube-based Model Predictive Control Method to Regulate a Knee Joint with Functional Electrical Stimulation and Electric Motor Assist. IEEE Transactions on Control Systems Technology, 29(5), 2180–2191. https://doi.org/10.1109/TCST.2020.3034850

Zhang, Q., Iyer, A., Kim, K., & Sharma, N. (2021). Evaluation of Non-Invasive Ankle Joint Effort Prediction Methods for Use in Neurorehabilitation Using Electromyography and Ultrasound Imaging. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 68(3), 1044–1055. https://doi.org/10.1109/TBME.2020.3014861

Zhang, Q., Fragnito, N., Myers, A., & Sharma, N. (2021). Plantarflexion Moment Prediction during the Walking Stance Phase with an sEMG-Ultrasound Imaging-Driven Model. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021-January, 6267–6272. https://doi.org/10.1109/EMBC46164.2021.9630046

Molazadeh, V., Zhang, Q., Bao, X., Dicianno, B. E., & Sharma, N. (2021). Shared Control of a Powered Exoskeleton and Functional Electrical Stimulation Using Iterative Learning. FRONTIERS IN ROBOTICS AND AI, 8. https://doi.org/10.3389/frobt.2021.711388

Sheng, Z., Sun, Z., Molazadeh, V., & Sharma, N. (2021). Switched Control of an N-Degree-of-Freedom Input Delayed Wearable Robotic System. Automatica, 125. https://doi.org/10.1016/j.automatica.2020.109455

Sheng, Z., Sharma, N., & Kim, K. (2021). Ultra-High-Frame-Rate Ultrasound Monitoring of Muscle Contractility Changes Due to Neuromuscular Electrical Stimulation. ANNALS OF BIOMEDICAL ENGINEERING, 49(1), 262–275. https://doi.org/10.1007/s10439-020-02536-7

Zhang, Q., Iyer, A., Lambeth, K., Kim, K., & Sharma, N. (2021). Ultrasound Echogenicity-based Assessment of Muscle Fatigue During Functional Electrical Stimulation. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 5948–5952. https://doi.org/10.1109/EMBC46164.2021.9630325

Sheng, Z., Kim, K., & Sharma, N. (2020). An Ultrasound Imaging Based Observer for Estimating NMES-Induced Muscle Fatigue: Theory and Simulation. Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, 1. https://doi.org/10.1115/dscc2020-3196

Iyer, A., Sheng, Z., Zhang, Q., Kim, K., & Sharma, N. (2020). Analysis of Tremor During Grasp Using Ultrasound Imaging: Preliminary Study. Proceedings of the 8th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2020-November, 533–538. https://doi.org/10.1109/BioRob49111.2020.9224446

Moreno, J. C., Mohammed, S., Sharma, N., & del-Ama, A. J. (2020). Hybrid Wearable Robotic Exoskeletons for Human Walking. In Wearable Robotics (pp. 347–364). https://doi.org/10.1016/b978-0-12-814659-0.00018-7

Bao, X., Molazadeh, V., Dodson, A., & Sharma, N. (2020). Model Predictive Control-Based Knee Actuator Allocation During a Standing-Up Motion with a Powered Exoskeleton and Functional Electrical Stimulation. In R. Vinjamuri (Ed.), Advances in Motor Neuroprostheses (pp. 89–100). https://doi.org/10.1007/978-3-030-38740-2_6

Zhang, Q., Kim, K., & Sharma, N. (2020). Prediction of Ankle Dorsiflexion Moment by Combined Ultrasound Sonography and Electromyography. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 28(1), 318–327. https://doi.org/10.1109/TNSRE.2019.2953588

Sheng, Z., Sharma, N., & Kim, K. (2020). Quantitative Assessment of Changes in Muscle Contractility Due to Fatigue During NMES: An Ultrasound Imaging Approach. IEEE Transactions on Biomedical Engineering, 67(3), 832–841. https://doi.org/10.1109/TBME.2019.2921754

Zhang, Q., Iyer, A., Sun, Z., Dodson, A., & Sharma, N. (2020). Sampled-Data Observer Based Dynamic Surface Control of Delayed Neuromuscular Functional Electrical Stimulation [Paper]. Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, 1(DSCC2020-3225). https://doi.org/10.1115/dscc2020-3225

Bao, X., Molazadeh, V., Dodson, A., Dicianno, B. E., & Sharma, N. (2020). Using Person-Specific Muscle Fatigue Characteristics to Optimally Allocate Control in a Hybrid Exoskeleton—Preliminary Results. IEEE Transactions on Medical Robotics and Bionics, 2(2), 226–235. https://doi.org/10.1109/TMRB.2020.2977416

Zhang, Q., Iyer, A., Kim, K., & Sharma, N. (2020). Volitional Contractility Assessment of Plantar Flexors by Using Non-invasive Neuromuscular Measurements. 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2020-November, 515–520. https://doi.org/10.1109/biorob49111.2020.9224298

Molazadeh, V., Sheng, Z., Bao, X., & Sharma, N. (2019). A Robust Iterative Learning Switching Controller for following Virtual Constraints: Application to a Hybrid Neuroprosthesis. IFAC-PapersOnLine, 51(34), 28–33. https://doi.org/10.1016/j.ifacol.2019.01.011

Zhang, Q., Sheng, Z., Moore-Clingenpeel, F., Kim, K., & Sharma, N. (2019). Ankle Dorsiflexion Strength Monitoring by Combining Sonomyography and Electromyography. 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019-June, 240–245. https://doi.org/10.1109/icorr.2019.8779530

Sun, Z., Bao, X., & Sharma, N. (2019). Lyapunov-based Model Predictive Control of an Input Delayed Functional Electrical Simulation. IFAC-PapersOnLine, 51(34), 290–295. https://doi.org/10.1016/j.ifacol.2019.01.037

Bao, X., Kirsch, N., Dodson, A., & Sharma, N. (2019). Model Predictive Control of a Feedback-Linearized Hybrid Neuroprosthetic System With a Barrier Penalty. Journal of Computational and Nonlinear Dynamics, 14(10). https://doi.org/10.1115/1.4042903

Sheng, Z., Sharma, N., & Kim, K. (2019, June 24). Muscle Fatigue Assessment in a Wearable Neuroprosthesis Using Ultrasound Strain Imaging. Presented at the International Functional Electrical Stimulation Society Conference, Toronto, Canada.

Molazadeh, V., Zhang, Q., Bao, X., & Sharma, N. (2019). Neural-Network Based Iterative Learning Control of a Hybrid Exoskeleton with an MPC Allocation Strategy [Paper]. Proceedings of the ASME Dynamic Systems Control Conference, 1(DSCC2019-9191). https://doi.org/10.1115/DSCC2019-9191

Sharma, N. (2019, February). New Control and Sensing Approaches for Integrating Functional Electrical Stimulation in a Wearable Exoskeletons. Presented at the Joint Department of Biomedical Engineering Raleigh: North Carolina State University, University of North Carolina at Chapel Hill.

Zhang, Q., Sheng, Z., Kim, K., & Sharma, N. (2019). Observer Design for a Nonlinear Neuromuscular System with Multi-rate Sampled and Delayed Output Measurements. 2019 American Control Conference (ACC), 2019-July, 872–877. https://doi.org/10.23919/acc.2019.8814473

Bao, X., Mao, Z.-H., Munro, P., Sun, Z., & Sharma, N. (2019). Sub-optimally solving actuator redundancy in a hybrid neuroprosthetic system with a multi-layer neural network structure. International Journal of Intelligent Robotics and Applications, 3(3), 298–313. https://doi.org/10.1007/s41315-019-00100-8

Sun, Z., Bao, X., & Sharma, N. (2019). Tube-based Model Predictive Control of An Input Delayed Functional Electrical Stimulation. 2019 American Control Conference (ACC), 2019-July, 5420–5425. https://doi.org/10.23919/acc.2019.8815302

Chen, Q., Liu, F.-W., Xiao, Z., Sharma, N., Cho, S. K., & Kim, K. (2019). Ultrasound Tracking of the Acoustically Actuated Microswimmer. IEEE Transactions on Biomedical Engineering, 66(11), 3231–3237. https://doi.org/10.1109/TBME.2019.2902523

Alibeji, N. A., Molazadeh, V., Dicianno, B. E., & Sharma, N. (2018). A Control Scheme That Uses Dynamic Postural Synergies to Coordinate a Hybrid Walking Neuroprosthesis: Theory and Experiments. Frontiers in Neuroscience, 12(APR). https://doi.org/10.3389/fnins.2018.00159

Alibeji, N. A., Molazadeh, V., Moore-Clingenpeel, F., & Sharma, N. (2018). A Muscle Synergy-Inspired Control Design to Coordinate Functional Electrical Stimulation and a Powered Exoskeleton: Artificial Generation of Synergies to Reduce Input Dimensionality. IEEE Control Systems, 38(6), 35–60. https://doi.org/10.1109/mcs.2018.2866603

Molazadeh, V., Sheng, Z., & Sharma, N. (2018). A Within-Stride Switching Controller for Walking with Virtual Constraints: Application to a Hybrid Neuroprosthesis. 2018 Annual American Control Conference (ACC), 2018-June, 5286–5291. https://doi.org/10.23919/acc.2018.8431436

Bao, X., Mao, Z.-H., & Sharma, N. (2018). A supplementary condition for the convergence of the control policy during adaptive dynamic programming. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85098840725&partnerID=MN8TOARS

Bao, X., Mao, Z.-H., & Sharma, N. (2018). A theoretical difficulty in approximate dynamic programming with input constraints. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85098820021&partnerID=MN8TOARS

Moore-Clingenpeel, F., Molazadeh, V., & Sharma, N. (2018). An Active-Subspace-Based Algorithm for Reducing Redundancy in a Hybrid Neuroprosthesis. 2018 IEEE Conference on Decision and Control (CDC), 2018-December, 4849–4854. https://doi.org/10.1109/cdc.2018.8619032

Doll, B. D., Kirsch, N. A., Bao, X., Dicianno, B. E., & Sharma, N. (2018). Dynamic optimization of stimulation frequency to reduce isometric muscle fatigue using a modified Hill‐Huxley model. Muscle & Nerve, 57(4), 634–641. https://doi.org/10.1002/mus.25777

Sheng, Z., Molazadeh, V., & Sharma, N. (2018). Hybrid Dynamical System Model and Robust Control of a Hybrid Neuroprosthesis Under Fatigue Based Switching. 2018 Annual American Control Conference (ACC), 2018-June, 1446–1451. https://doi.org/10.23919/acc.2018.8431258

Kirsch, N. A., Bao, X., Alibeji, N. A., Dicianno, B. E., & Sharma, N. (2018). Model-Based Dynamic Control Allocation in a Hybrid Neuroprosthesis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(1), 224–232. https://doi.org/10.1109/TNSRE.2017.2756023

Alibeji, N., Kirsch, N., Dicianno, B. E., & Sharma, N. (2017). A Modified Dynamic Surface Controller for Delayed Neuromuscular Electrical Stimulation. IEEE/ASME Transactions on Mechatronics, 22(4), 1755–1764. https://doi.org/10.1109/TMECH.2017.2704915

Sharma, N., Kirsch, N. A., Alibeji, N. A., & Dixon, W. E. (2017). A Non-Linear Control Method to Compensate for Muscle Fatigue during Neuromuscular Electrical Stimulation. Frontiers in Robotics and AI, 4(DEC). https://doi.org/10.3389/frobt.2017.00068

Allen, M., Zhong, Q., Kirsch, N., Dani, A., Clark, W. W., & Sharma, N. (2017). A Nonlinear Dynamics-Based Estimator for Functional Electrical Stimulation: Preliminary Results From Lower-Leg Extension Experiments. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(12), 2365–2374. https://doi.org/10.1109/TNSRE.2017.2748420

Alibeji, N., & Sharma, N. (2017). A PID-Type Robust Input Delay Compensation Method for Uncertain Euler–Lagrange Systems. IEEE Transactions on Control Systems Technology, 25(6), 2235–2242. https://doi.org/10.1109/TCST.2016.2634503

Bao, X., Sheng, Z., & Sharma, N. (2017, October 24). A Tube-based Model Predictive Control Method for Sharing Control Inputs in a Hybrid Neuroprosthesis. Presented at the IROS workshop on Assistance and Service Robotics in a Human Environment, Vancouver, British Columbia, Canada.

Bao, X., Sun, Z., & Sharma, N. (2017). A recurrent neural network based MPC for a hybrid neuroprosthesis system. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2018-January, 4715–4720. https://doi.org/10.1109/CDC.2017.8264356

Alibeji, N., Kirsch, N., & Sharma, N. (2017). An adaptive low-dimensional control to compensate for actuator redundancy and FES-induced muscle fatigue in a hybrid neuroprosthesis. Control Engineering Practice, 59, 204–219. https://doi.org/10.1016/j.conengprac.2016.07.015

Alibeji, N., Dicianno, B. E., & Sharma, N. (2017). Bilateral control of functional electrical stimulation and robotics-based telerehabilitation. International Journal of Intelligent Robotics and Applications, 1(1), 6–18. https://doi.org/10.1007/s41315-016-0003-5

Kirsch, N. A., Alibeji, N. A., Redfern, M., & Sharma, N. (2017). Dynamic Optimization of a Hybrid Gait Neuroprosthesis to Improve Efficiency and Walking Duration: A Simulation Study. In J. Ibáñez, J. González-Vargas, J. Azorín, M. Akay, & J. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation II (pp. 687–691). https://doi.org/10.1007/978-3-319-46669-9_113

Dodson, A., Alibeji, N., & Sharma, N. (2017). Experimental demonstration of a delay compensating controller in a hybrid walking neuroprosthesis. 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 465–468. https://doi.org/10.1109/ner.2017.8008390

Sharma, N. (2017). Human Motor Control Inspired Controller to Compensate for Actuator Redundancy in a Hybrid Neuroprosthesis. Workshop on Assistance and Service Robotics in a Human Environment. Presented at the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, British Columbia, Canada.

Sharma, N., & Kirsch, N. (2017). Modeling and Dynamic Optimization of a Hybrid Neuroprosthesis for Gait Restoration. In J. Ueda & Y. Kurita (Eds.), Human Modelling for Bio-Inspired Robotics (pp. 139–159). https://doi.org/10.1016/b978-0-12-803137-7.00008-2

Kirsch, N., Alibeji, N., & Sharma, N. (2017). Nonlinear model predictive control of functional electrical stimulation. Control Engineering Practice, 58, 319–331. https://doi.org/10.1016/j.conengprac.2016.03.005

Alibeji, N. A., Kirsch, N. A., & Sharma, N. (2017). Preliminary Experiments of an Adaptive Low-Dimensional Control for a Hybrid Neuroprosthesis. In J. Ibáñez, J. González-Vargas, J. Azorín, M. Akay, & J. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation II (pp. 693–697). https://doi.org/10.1007/978-3-319-46669-9_114

Sharma, N. (2017, May 29). Shared control of functional electrical stimulation and an electric motor in a hybrid neuroprosthesis. Presented at the 2017 IEEE International Conference on Robotics and Automation (ICRA) : Innovation, Entrepreneurship, and Real-world Sollutions, Marina Bay Sands, Singapore.

Sharma, S. (2017, March). Shared control of functional electrical stimulation and an electric motor in a hybrid neuroprosthesis. Presented at the Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, Georgia.

Sharma, N. (2016, June). Control methods for shared use of an electrically-stimulated human muscle and a robot in a hybrid neuroprosthetic. Presented at the Robotics Science Systems Workshop on Human Robot Collaboration, University of Michigan, Ann Arbor, MI.

Bao, X., Kirsch, N., & Sharma, N. (2016). Dynamic control allocation of a feedback linearized hybrid neuroprosthetic system. 2016 American Control Conference (ACC), 2016-July, 3976–3981. https://doi.org/10.1109/acc.2016.7525534

Qiu, T., Alibeji, N., & Sharma, N. (2016). Robust compensation of electromechanical delay during neuromuscular electrical stimulation of antagonistic muscles. 2016 American Control Conference (ACC), 2016-July, 4871–4876. https://doi.org/10.1109/acc.2016.7526124

Sharma, N. (2016, March). Shared control of functional electrical stimulation and an electric motor in a hybrid neuroprosthesis. Presented at the Department of Sports Medicine, University of Pittsburgh, Pittsburgh, PA.

Sharma, N. (2016, November). Shared control of functional electrical stimulation and an electric motor in a hybrid neuroprosthesis. Presented at the Department of Engineering Science and Mechanics at Pennsylvania State University, State College, PA.

Kirsch, N., Alibeji, N., Dicianno, B. E., & Sharma, N. (2016). Switching control of functional electrical stimulation and motor assist for muscle fatigue compensation. 2016 American Control Conference (ACC), 2016-July, 4865–4870. https://doi.org/10.1109/acc.2016.7526123

Alibeji, N. A., Kirsch, N. A., & Sharma, N. (2015). A Muscle Synergy-Inspired Adaptive Control Scheme for a Hybrid Walking Neuroprosthesis. Frontiers in Bioengineering and Biotechnology, 3, 203. https://doi.org/10.3389/fbioe.2015.00203

Alibeji, N. A., Kirsch, N. A., & Sharma, N. (2015). An Adaptive Low-Dimensional Control for a Hybrid Neuroprosthesis. IFAC-PapersOnLine, 48(20), 303–308. https://doi.org/10.1016/j.ifacol.2015.10.156

Sharma, N. (2015, June). Closed-loop Control Methods for a Hybrid Neuroprosthesis. Presented at the Human Engineering Research Laboratories, University of Pittsburgh, Pittsburgh, PA.

Sharma, N. (2015, October). Closed-loop Control Methods for a Hybrid Neuroprosthesis. Presented at the Panther Rounds Speaker (UPMC Mercy), Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA.

Alibeji, N., Kirsch, N., & Sharma, N. (2015). Dynamic surface control of neuromuscular electrical stimulation of a musculoskeletal system with activation dynamics and an input delay. 2015 American Control Conference (ACC), 2015-July, 631–636. https://doi.org/10.1109/acc.2015.7170806

Ravichandar, H., Dani, A., Khadijah-Hajdu, J., Kirsch, N., Zhong, Q., & Sharma, N. (2015). Expectation Maximization Method to Identify an Electrically Stimulated Musculoskeletal Model [Paper]. Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications, 2(DSCC2015-9956). https://doi.org/10.1115/dscc2015-9956

Alibeji, N., Kirsch, N., Farrokhi, S., & Sharma, N. (2015). Further Results on Predictor-Based Control of Neuromuscular Electrical Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(6), 1095–1105. https://doi.org/10.1109/tnsre.2015.2418735

Kirsch, N. A., Alibeji, N. A., & Sharma, N. (2015). Nonlinear Model Predictive Control of Functional Electrical Stimulation. Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications, 2. https://doi.org/10.1115/dscc2015-9762

Doll, B. D., Kirsch, N. A., & Sharma, N. (2015). Optimization of a Stimulation Train based on a Predictive Model of Muscle Force and Fatigue. IFAC-PapersOnLine, 48(20), 338–342. https://doi.org/10.1016/j.ifacol.2015.10.162

Dani, A., & Sharma, N. (2014). A discrete-time nonlinear estimator for an orthosis-aided gait. ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, 1. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84929353401&partnerID=MN8TOARS

Kirsch, N., Alibeji, N., Fisher, L., Gregory, C., & Sharma, N. (2014). A semi-active hybrid neuroprosthesis for restoring lower limb function in paraplegics. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2557–2560. https://doi.org/10.1109/EMBC.2014.6944144

Alibeji, N. A., Kirsch, N. A., Sethi, A., & Sharma, N. (2014). A state synchronization controller for functional electrical stimulation-based telerehabilitation. ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, 3. https://doi.org/10.1115/DSCC2014-6139

Sharma, N., Mushahwar, V., & Stein, R. (2014). Dynamic optimization of FES and orthosis-based walking using simple models. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(1), 114–126. https://doi.org/10.1109/TNSRE.2013.2280520

Kirsch, N. A., Alibeji, N. A., & Sharma, N. (2014). Model predictive control-based dynamic control allocation in a hybrid neuroprosthesis. ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, 3. https://doi.org/10.1115/DSCC2014-6133

Sharma, N., & Dani, A. (2014). Nonlinear estimation of gait kinematics during functional electrical stimulation and orthosis-based walking. 2014 American Control Conference, 4778–4783. https://doi.org/10.1109/ACC.2014.6859342

Wang, Q., Sharma, N., Johnson, M., Gregory, C. M., & Dixon, W. E. (2013). Adaptive inverse optimal neuromuscular electrical stimulation. IEEE Transactions on Cybernetics, 43(6), 1710–1718. https://doi.org/10.1109/TSMCB.2012.2228259

Alibeji, N., Kirsch, N., & Sharma, N. (2013). Control of functional electrical stimulation in the presence of electromechanical and communication delays. International IEEE/EMBS Conference on Neural Engineering, NER, 299–302. https://doi.org/10.1109/NER.2013.6695931

Kirsch, N., Alibeji, N. A., & Sharma, N. (2013). Optimized control of different actuation strategies for FES and orthosis aided gait. ASME 2013 Dynamic Systems and Control Conference, DSCC 2013, 1. https://doi.org/10.1115/DSCC2013-4080

Fischer, N., Dani, A., Sharma, N., & Dixon, W. E. (2013). Saturated control of an uncertain nonlinear system with input delay. Automatica, 49(6), 1741–1747. https://doi.org/10.1016/j.automatica.2013.02.013

Sharma, N. (2012). A predictor-based compensation for electromechanical delay during neuromuscular electrical stimulation-II. Proceedings of the American Control Conference, 5604–5609. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84869406024&partnerID=MN8TOARS

Sharma, N., Gregory, C. M., Johnson, M., & Dixon, W. E. (2012). Closed-loop neural network-based NMES control for human limb tracking. IEEE Transactions on Control Systems Technology, 20(3), 712–725. https://doi.org/10.1109/TCST.2011.2125792

Sharma, N., & Stein, R. (2012). Gait planning and double support phase model for functional electrical stimulation-based walking. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 1904–1907. https://doi.org/10.1109/EMBC.2012.6346325

Sharma, N., & Stein, R. (2012). Gait planning and double support phase model for functional electrical stimulation-based walking. Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2012, 1904–1907. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84880821464&partnerID=MN8TOARS

Sharma, N. (2012, February). Lyapunov-based Control and Trajectory Planning for Restoring Human Limb Function. Presented at the Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA.

Sharma, N. (2012, March). Lyapunov-based Control and Trajectory Planning for Restoring Human Limb Function, Presented at the Department of Mechanical Engineering, University of California Riverside, Riverside, CA.

Sharma, N. (2012, January). Nonlinear Control and Optimization Methods for Functional Electrical Stimulation. Presented at the Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.

Sharma, N. (2012, February). Nonlinear Control and Optimization Methods for Functional Electrical Stimulation. Department of Biomedical Engineering, presented at the Department of Biomedical Engineering, University of California, Davis, Davis, CA.

Nonlinear Control and Optimization Methods for Restoring Walking via Neuroprosthetics. (2012, April). Presented at the Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA.

Sharma, N. (2012, March). Nonlinear Control and Optimization Methods for Restoring Walking via Neuroprosthetics. Presented at the Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE.

Fischer, N., Kamalapurkar, R., Sharma, N., & Dixon, W. E. (2012). RISE-based control of an uncertain nonlinear system with time-varying state delays. Proceedings of the IEEE Conference on Decision and Control, 3502–3507. https://doi.org/10.1109/CDC.2012.6427002

Sharma, N., Bhasin, S., Wang, Q., & Dixon, W. E. (2012). Rise-based adaptive control of a control affine uncertain nonlinear system with unknown state delays. IEEE Transactions on Automatic Control, 57(1), 255–259. https://doi.org/10.1109/TAC.2011.2166314

Downey, R. J., Bellman, M., Sharma, N., Wang, Q., Gregory, C. M., & Dixon, W. E. (2011). A novel modulation strategy to increase stimulation duration in neuromuscular electrical stimulation. Muscle and Nerve, 44(3), 382–387. https://doi.org/10.1002/mus.22058

Bhasin, S., Sharma, N., Patre, P., & Dixon, W. (2011). Asymptotic tracking by a reinforcement learning-based adaptive critic controller. Journal of Control Theory and Applications, 9(3), 400–409. https://doi.org/10.1007/s11768-011-0170-8

Sharma, N., & Stein, R. (2011). Optimal trajectory planning for a constrained functional electrical stimulation-based human walking. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, 603–607. https://doi.org/10.1109/IEMBS.2011.6090134

Sharma, N., Gregory, C. M., & Dixon, W. E. (2011). Predictor-based compensation for electromechanical delay during neuromuscular electrical stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19(6), 601–611. https://doi.org/10.1109/TNSRE.2011.2166405

Sharma, N., Bhasin, S., Wang, Q., & Dixon, W. E. (2011). Predictor-based control for an uncertain EulerLagrange system with input delay. Automatica, 47(11), 2332–2342. https://doi.org/10.1016/j.automatica.2011.03.016

Fischer, N., Dani, A., Sharma, N., & Dixon, W. E. (2011). Saturated control of an uncertain Euler-Lagrange system with input delay. Proceedings of the IEEE Conference on Decision and Control, 7587–7592. https://doi.org/10.1109/CDC.2011.6160646

Wang, Q., Sharma, N., Johnson, M., & Dixon, W. E. (2010). Adaptive inverse optimal neuromuscular electrical stimulation. IEEE International Symposium on Intelligent Control - Proceedings, 1287–1292. https://doi.org/10.1109/ISIC.2010.5612877

Wang, Q., Sharma, N., Johnson, M., & Dixon, W. E. (2010). Asymptotic optimal control of neuromuscular electrical stimulation. Proceedings of the IEEE Conference on Decision and Control, 839–844. https://doi.org/10.1109/CDC.2010.5717462

Sharma, N., & Dixon, W. E. (2010, April 22). Compensating Input Delay and Muscle Fatigue during Neuromuscular Electrical Stimulation Control. Presented at the Symposium on Emerging Topics in Control and Modeling: Biomedical Systems, Urbana, IL. Retrieved from http://biomedsym.beckman.illinois.edu/posters/Sharma2.pdf

Sharma, N. (2010, September). Lyapunov-based Control Methods for Neuromuscular Electrical Stimulation. Presented at the Alberta Motor Control Meeting, Kananaskis, AB, Canada.

Sharma, N., Patre, P. M., Gregory, C. M., & Dixon, W. E. (2010). Nonlinear control of NMES: Incorporating fatigue and calcium dynamics. Proceedings of the ASME Dynamic Systems and Control Conference 2009, DSCC2009, (PART A), 705–712. https://doi.org/10.1115/DSCC2009-2642

Sharma, N., Bhasin, S., Wang, Q., & Dixon, W. E. (2010). Predictor-based control for an uncertain Euler-Lagrange system with input delay. Proceedings of the 2010 American Control Conference, 1422–1427. https://doi.org/10.1109/acc.2010.5531212

Sharma, N., Bhasin, S., Wang, Q., & Dixon, W. E. (2010). RISE-based adaptive control of an uncertain nonlinear system with unknown state delays. Proceedings of the IEEE Conference on Decision and Control, 1773–1778. https://doi.org/10.1109/CDC.2010.5716973

Bhasin, S., Sharma, N., Patre, P. M., & Dixon, W. E. (2010). Robust asymptotic tracking of a class of nonlinear systems using an adaptive critic based controller. Proceedings of the 2010 American Control Conference, ACC 2010, 3223–3228. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-77957804698&partnerID=MN8TOARS

Sharma, N., Stegath, K., Gregory, C. M., & Dixon, W. E. (2009). Nonlinear neuromuscular electrical stimulation tracking control of a human limb. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 17(6), 576–584. https://doi.org/10.1109/TNSRE.2009.2023294

Gregory, C. M., Bickel, C. S., Sharma, N., & Dixon, W. E. (2008). Comparing the force- and excursion-frequency relationships in human skeletal muscle. Muscle and Nerve, 38(6), 1627–1629. https://doi.org/10.1002/mus.21161

Sharma, N., Gregory, C. M., Johnson, M., & Dixon, W. E. (2008). Modified neural network-based electrical stimulation for human limb tracking. IEEE International Symposium on Intelligent Control - Proceedings, 1320–1325. https://doi.org/10.1109/ISIC.2008.4635968

Stegath, K., Sharma, N., Gregory, C. M., & Dixon, W. E. (2008). Nonlinear tracking control of a human limb via neuromuscular electrical stimulation. Proceedings of the American Control Conference, 1941–1946. https://doi.org/10.1109/ACC.2008.4586776

Stegath, K., Sharma, N., Gregory, C. M., & Dixon, W. E. (2007). An extremum seeking method for non-isometric neuromuscular electrical stimulation. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2528–2532. https://doi.org/10.1109/ICSMC.2007.4413886

Stegath, K., Sharma, N., Gregory, C. M., & Dixon, W. E. (2007). Experimental demonstration of rise-based NMES of human quadriceps muscle. 2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA, 43–46. https://doi.org/10.1109/LSSA.2007.4400880