Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints

Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints
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DOI：
10.1109/tsmc.2018.2854770
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发表时间：
2019-07
期刊：
IEEE Transactions on Systems, Man, and Cybernetics: Systems
影响因子：
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通讯作者：
Jianwei Xia;Jing Zhang;Wei Sun;Baoyong Zhang;Zhen Wang
Jianwei Xia;Jing Zhang;Wei Sun;Baoyong Zhang;Zhen Wang
中科院分区：
其他
文献类型：
--
作者：
Jianwei Xia;Jing Zhang;Wei Sun;Baoyong Zhang;Zhen Wang

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针对一类严格要求完全状态约束的严格反馈非线性系统，构造了一种自适应模糊控制器来解决其有限时间跟踪控制问题。提出了一种Tan型势垒Lyapunov函数的反推设计方法。同时，用模糊逻辑系统逼近未知的非线性函数。该寻址控制方案保证输出在有界误差内跟随参考信号，并且闭环系统中的所有信号都是有界的。仿真结果验证了该方法的有效性。
In this paper, an adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems. Backstepping design with a tan-type barrier Lyapunov function is proposed. Meanwhile, fuzzy logic systems are used to approximate the unknown nonlinear functions. The addressed control scheme guarantees that the output is followed the reference signals within a bounded error, and all the signals in the closed-loop system are bounded. The simulation results demonstrate the validity of the proposed method.