Paper Info
Title
Optimal Event-Triggered Control Of Uncertain Linear Networked Control Systems: A Co-Design Approach
Abstract
In this paper, a co-design approach for event-based optimal state regulation of an uncertain linear networked control system is presented. Both the transmission intervals and the control policy are optimized by introducing a novel performance index such that the error in the control policy due to event-based transmission can be maximized. The event-triggering mechanism uses the worst case control input error as threshold to decide the optimal transmission instants. Stochastic Q-learning approach is used to design both the control policy and event-triggering condition without explicit knowledge of the system dynamics. The event-based Q-function parameters are updated using a hybrid scheme both at triggering instants and during inter-event times to accelerate the parameter convergence. The asymptotic stability in the mean square of the closed-loop system is demonstrated using Lyapunov analysis with the assumptions of persistence of excitation of regression vector. Finally, numerical results are included to substantiate the analytical design.
Year
Venue
Field
2017
2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)
Convergence (routing),Lyapunov function,Regression,Control theory,Explicit knowledge,Computer science,Networked control system,Exponential stability,System dynamics,Control system
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Avimanyu Sahoo115510.66
vignesh narayanan2293.77
Sarangapani Jagannathan3113694.89