期刊
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
卷 33, 期 10, 页码 1583-1600出版社
WILEY
DOI: 10.1002/acs.3051
关键词
full state constraints; fuzzy logic systems (FLSs); multiple-input-multiple-output (MIMO); switched systems; tangent barrier Lyapunov function (BLF-Tan)
资金
- National Natural Science Foundation of China [61622303, 61603164, 61773188, 61803189, 61803190]
- Program for Liaoning Innovative Research Team in University [LT2016006]
- Fundamental Research Funds for the Universities of Liaoning Province [JZL201715402]
This paper presents an adaptive fuzzy control approach of multiple-input-multiple-output (MIMO) switched uncertain systems, which involve time-varying full state constraints (TFSCs) and unknown disturbances. In the design procedure, the fuzzy logic systems are adopted to approximate the unknown functions in the systems. The adaptive fuzzy controller is set up by backstepping technique. According to the tangent barrier Lyapunov function (BLF-Tan), a novel adaptive MIMO switched nonlinear control algorithm is designed. Under the rule of arbitrary switchings and the proposed control laws, it is demonstrated that all signals in the resulted system are semiglobally uniformly ultimately bounded (SGUUB) and the tracking error converges to a small neighborhood of zero with TFSCs. Furthermore, the simulation example validates the effectiveness of presented control strategy.
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