Stochastic Inverse Optimal Control of Unknown Linear Networked Control System in the Presence of Random Delays and Packet Losses
Abstract
In this paper, the inverse optimal control approach is applied to stabilization in probability of unknown linear networked control system (NCS) in presence of random delays and packet losses. The proposed control scheme is based on Kalman filter parameter estimation to solve the infinite horizon regulator problem for NCS with stochastic system matrices, and avoids to solve the associated stochastic Riccati equation (SRE); additionally a cost functional is minimized. The stabilizing optimal controller is based on a discrete-time stochastic control Lyapunov function.
Recommended Citation
S. Elvira-Ceja et al., "Stochastic Inverse Optimal Control of Unknown Linear Networked Control System in the Presence of Random Delays and Packet Losses," Proceedings of the 2015 American Control Conference (2015, Chicago, IL), pp. 799 - 804, Institute of Electrical and Electronics Engineers (IEEE), Jul 2015.
The definitive version is available at https://doi.org/10.1109/ACC.2015.7170832
Meeting Name
2015 American Control Conference, ACC 2015 (2015: Jul.1-3, Chicago, IL)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Control systems; Inverse problems; Kalman filters; Lyapunov functions; Packet loss; Riccati equations; Stochastic control systems; Stochastic systems; Control schemes; Cost functionals; Discrete time; Infinite horizons; Inverse-optimal control; Optimal controller; Random delay; Stochastic control; Networked control systems
International Standard Book Number (ISBN)
978-1-4799-8684-2
International Standard Serial Number (ISSN)
0743-1619; 2378-5861
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 American Automatic Control Council, All rights reserved.
Publication Date
01 Jul 2015
Comments
This work is supported by CONACYT Mexico under project 131678, NSF grant ECCS 112828 and Intelligent Systems Center.