Particle swarm optimization based networked control system design with uncertainty

This study discusses the design of state feedback control for networked control system (NCS) with uncertainty, where the feedback controller is used to solve the latency and the packet dropout caused by NCS. The conventional design approach generally adopts Lyapunov stability theorem to analyse the...

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Bibliographic Details
Published in:MATEC web of conferences 2017-01, Vol.119, p.1051
Main Authors: Chen, Ti-Hung, Yeh, Ming-Feng, Lee, Wen-Yo
Format: Article
Language:English
Subjects:
Computer simulation
Control stability
Control systems
Control systems design
Controllers
Design optimization
Feedback control
Mathematical analysis
Matrix methods
Particle swarm optimization
Stability analysis
Stability criteria
State feedback
Uncertainty
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Summary:This study discusses the design of state feedback control for networked control system (NCS) with uncertainty, where the feedback controller is used to solve the latency and the packet dropout caused by NCS. The conventional design approach generally adopts Lyapunov stability theorem to analyse the stability of NCSs and then Lyapunov-Krasovskii stability criterion is solved to obtain the control gain matrix. Rather than using complex Lyapunov-Krasovskii stability criterion and solving difficult linear matrix inequality (LMI) problem in the control design, this study attempts to utilize particle swarm optimization (PSO) algorithm to search an optimal feedback control gain for the NCS. Finally, the computer simulation is illustrated the proposed control strategy and demonstrated the control performance.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201711901051