Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 45, Issue 8, Pages 1511-1524Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2014.2354421
Keywords
Network-induced delays; output tracking control; particle swarm optimization (PSO); static output feedback; T-S fuzzy systems
Categories
Funding
- Australian Research Council [DP1096780]
- 100 Talents Program of Shanxi Province
- Natural Science Foundation of China [61403240, 61374059]
- Shanxi Scholarship Council of China [2012-001]
- International S & T Cooperation Program of Shanxi Province, China [2013081040]
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This paper investigates network-based output tracking control for a T-S fuzzy system that can not be stabilized by a nondelayed fuzzy static output feedback controller, but can be stabilized by a delayed fuzzy static output feedback controller. By intentionally introducing a communication network that produces proper network-induced delays in the feedback control loop, a stable and satisfactory tracking control can be ensured for the T-S fuzzy system. Due to the presence of network-induced delays, the fuzzy system and the fuzzy tracking controller operate in an asynchronous way. Taking the asynchronous operation and network-induced delays into consideration, the network-based tracking control system is modeled as an asynchronous T-S fuzzy system with an interval time-varying delay. A new delay-dependent criterion for L-2-gain tracking performance is derived by using the deviation bounds of asynchronous normalized membership functions and a complete Lyapunov-Krasovskii functional. Applying a particle swarm optimization technique with the feasibility of the derived criterion, a novel design algorithm is presented to determine the minimum L-2-gain tracking performance and control gains simultaneously. The effectiveness of the proposed method is illustrated by performing network-based output tracking control of a Duffing-Van der Pol's oscillator.
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