Observer-based fuzzy adaptive quantized control for uncertain nonlinear multiagent systems. (English) Zbl 1417.93193
Summary: This paper focuses on consensus quantized control design problem for uncertain nonlinear multiagent systems with unmeasured states. Every follower can be denoted through a system with unmeasurable states, hysteretic quantized input, and unknown nonlinearities. Fuzzy state observer and fuzzy logic systems are employed to estimate unmeasured states and approximate unknown nonlinear functions, respectively. The hysteretic quantized input can be split into two bounded nonlinear functions to avoid chattering problem. By combining adaptive backstepping and first-order filter signals, an observer-based fuzzy adaptive quantized control scheme is designed for each follower. All signals exist in closed-loop systems are semiglobally uniformly ultimately bounded, and all followers can accomplish a desired consensus results. Finally, a numerical example is employed to elaborate the effectiveness of proposed control strategy.
MSC:
| 93C42 | Fuzzy control/observation systems |
| 93C40 | Adaptive control/observation systems |
| 93C41 | Control/observation systems with incomplete information |
| 93A14 | Decentralized systems |
| 68T42 | Agent technology and artificial intelligence |
| 93C10 | Nonlinear systems in control theory |
Keywords:
first-order filter signals; fuzzy adaptive control; fuzzy state observer; input quantization; nonlinear multiagent systemsReferences:
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