Seyedbehzad Nabavi

Works (10)

Updated: July 5th, 2023 15:40

2015 article

A Graph-Theoretic Condition for Global Identifiability of Weighted Consensus Networks

Nabavi, S., & Chakrabortty, A. (2015, January 1). IEEE Transactions on Automatic Control, Vol. 61, pp. 497–502.

By: S. Nabavi n & A. Chakrabortty n 

author keywords: Global identifiability; graph Laplacian matrix; Markov parameters
topics (OpenAlex): Distributed Control Multi-Agent Systems; Gene Regulatory Network Analysis; Neural Networks Stability and Synchronization
TL;DR: A sensor placement algorithm is proposed that guarantees identifiability of the edge-weights of a class of linear network dynamic systems exhibiting continuous-time weighted consensus protocols. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

A Real-Time Attack Localization Algorithm for Large Power System Networks Using Graph-Theoretic Techniques

Nudell, T. R., Nabavi, S., & Chakrabortty, A. (2015, March 12). IEEE Transactions on Smart Grid, Vol. 6, pp. 2551–2559.

By: T. Nudell n, S. Nabavi n & A. Chakrabortty n 

author keywords: Algebraic graph theory; attack localization; identification; nodal domains; power system
topics (OpenAlex): Smart Grid Security and Resilience; Power System Optimization and Stability; Power Systems Fault Detection
TL;DR: A graph-theoretic algorithm for localizing the physical manifestation of attacks or disturbances in large power system networks using real-time synchrophasor measurements and validated using a detailed case study of the two-area Kundur model and the IEEE 39-bus power system. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

A global identifiability condition for consensus networks on tree graphs

Nabavi, S., Chakrabortty, A., & Khargonekar, P. P. (2015, July 1). 2015 American Control Conference (Acc), pp. 1830–1835.

By: S. Nabavi n, A. Chakrabortty n  & P. Khargonekar *

topics (OpenAlex): Distributed Control Multi-Agent Systems; Gene Regulatory Network Analysis; Stability and Control of Uncertain Systems
TL;DR: A sensor placement algorithm is proposed that guarantees identifiability of the edge weights of linear network dynamic systems exhibiting continuous-time weighted consensus protocols with acyclic structure. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2015 article

An intrusion-resilient distributed optimization algorithm for modal estimation in power systems

Nabavi, S., & Chakrabortty, A. (2015, December 1). 2015 54th IEEE Conference on Decision and Control (CDC), pp. 39–44.

By: S. Nabavi n & A. Chakrabortty n 

topics (OpenAlex): Power System Optimization and Stability; Smart Grid Security and Resilience; Model Reduction and Neural Networks
TL;DR: An intrusion-resilient distributed algorithmic approach to estimate the electro-mechanical oscillation modes of a large power system using Synchrophasor measurements and shows the resiliency of this algorithm against the cyber-attacks that may happen in the form of data manipulation. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2015 article

Convergence analysis of ADMM-based power system mode estimation under asynchronous wide-area communication delays

Zhang, N. J., Nabavi, S., Chakrabortty, A., & Xin, Y. (2015, July 1). 2015 Ieee Power & Energy Society General Meeting.

By: N. Zhang n, S. Nabavi n, A. Chakrabortty n  & Y. Xin *

topics (OpenAlex): Power System Optimization and Stability; Power Line Communications and Noise; Advanced Adaptive Filtering Techniques
TL;DR: A probability model is imposed for the communication delays between the central PDC and the local PDCs, and two strategies of averaging are implemented based on a chosen delay threshold to show possible instabilities and sensitivities of the ADMM convergence on delay distribution parameters under these two averaging strategies. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2015 article

Distributed Optimization Algorithms for Wide-Area Oscillation Monitoring in Power Systems Using Interregional PMU-PDC Architectures

Nabavi, S., Zhang, J., & Chakrabortty, A. (2015, March 12). IEEE Transactions on Smart Grid, Vol. 6, pp. 2529–2538.

By: S. Nabavi n, J. Zhang n & A. Chakrabortty n 

author keywords: Alternating direction method of multipliers (ADMM); distributed optimization; phasor measurement units (PMUs); Prony; wide area oscillation monitoring
topics (OpenAlex): Power System Optimization and Stability; Microgrid Control and Optimization; Frequency Control in Power Systems
TL;DR: A set of distributed algorithms for estimating the electro-mechanical oscillation modes of large power system networks using synchrophasors is presented and three different communication and computational architectures by which estimators located at the control centers of various utility companies can run local optimization algorithms using local PMU data, and thereafter communicate with other estimators to reach a global solution. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 article

A real-time distributed Prony-based algorithm for modal estimation of power system oscillations

Nabavi, S., & Chakrabortty, A. (2014, June 1). 2014 American Control Conference (Acc), pp. 729–734.

By: S. Nabavi n & A. Chakrabortty n 

topics (OpenAlex): Power System Optimization and Stability; Model Reduction and Neural Networks; Structural Health Monitoring Techniques
TL;DR: This paper presents a set of distributed algorithms to estimate the oscillatory electro-mechanical eigenvalues of large power system networks using real-time measurements of phase angles and frequencies, and integrates the centralized Prony method for modal extraction with two commonly-used distributed optimization algorithms. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2014 article

Distributed estimation of inter-area oscillation modes in large power systems using alternating direction multiplier method

Nabavi, S., & Chakrabortty, A. (2014, July 1). 2014 Ieee Pes General Meeting - Conference & Exposition.

By: S. Nabavi n & A. Chakrabortty n 

topics (OpenAlex): Power System Optimization and Stability; Optimal Power Flow Distribution; Power Systems Fault Detection
TL;DR: This paper integrates the centralized Prony method with a commonly used distributed optimization algorithm, namely, alternating direction method of multipliers (ADMM), and shows how the resulting approach can utilize PMU data to identify the modes of interest asymptotically. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2013 article

Topology identification for dynamic equivalent models of large power system networks

Nabavi, S., & Chakrabortty, A. (2013, June 1). 2013 American Control Conference (Acc), pp. 1138–1143.

By: S. Nabavi n & A. Chakrabortty n 

topics (OpenAlex): Power System Optimization and Stability; Power System Reliability and Maintenance; Power Systems Fault Detection
TL;DR: Two algorithms to identify the equivalent topology of reduced-order models of power systems using measurements of phase angles and frequencies available from Phasor Measurement Units (PMUs) are proposed. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2012 article

A novel cost function for parameters estimation in oscillatory biochemical systems

Nabavi, S., & Williams, C. M. (2012, March 1). 2012 Proceedings of IEEE Southeastcon.

By: S. Nabavi n & C. Williams n 

topics (OpenAlex): Gene Regulatory Network Analysis; Light effects on plants; thermodynamics and calorimetric analyses
TL;DR: A cost function is proposed to address issues with estimating kinetic parameters in oscillatory systems by integrating temporal information with periodic information embedded in the measurements, which results in an increased ability to estimate accurate kinetic parameters as compared to the traditional LS cost function. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

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