Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form
Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form
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DOI：
10.1109/tcyb.2014.2383378
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发表时间：
2015-12
影响因子：
11.8
通讯作者：
Bing Chen;Chong Lin;Xiaoping Liu;Kefu Liu
中科院分区：
文献类型：
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作者：
Bing Chen;Chong Lin;Xiaoping Liu;Kefu Liu
研究了一类非严格反馈形式的多输入多输出（MIMO）非线性系统的模糊自适应控制问题，其中严格反馈形式的系统是其特殊情况。针对这类非线性MIMO系统，利用变量划分条件，提出了一种新的模糊自适应反演方法。所提出的模糊自适应控制器保证了闭环系统中的所有信号是半全局一致最终有界的，并且跟踪误差最终收敛到原点附近的一个小邻域内。本文的主要优点是，系统地推导出了具有强关联项的非线性系统的控制方法，这些关联项是整个系统的所有状态的函数。仿真结果进一步说明了该方法的有效性。
This paper focuses on the problem of fuzzy adaptive control for a class of multiinput and multioutput (MIMO) nonlinear systems in nonstrict-feedback form, which contains the strict-feedback form as a special case. By the condition of variable partition, a new fuzzy adaptive backstepping is proposed for such a class of nonlinear MIMO systems. The suggested fuzzy adaptive controller guarantees that the proposed control scheme can guarantee that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded and the tracking errors eventually converge to a small neighborhood around the origin. The main advantage of this paper is that a control approach is systematically derived for nonlinear systems with strong interconnected terms which are the functions of all states of the whole system. Simulation results further illustrate the effectiveness of the suggested approach.