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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201711901051 |
| 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. |
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| ISSN: | 2261-236X |