Command-filtered-based fuzzy adaptive control design for MIMO-switched nonstrict-feedback nonlinear systems
Command-filtered-based fuzzy adaptive control design for MIMO-switched nonstrict-feedback nonlinear systems
复制标题
MIMO 切换非严格反馈非线性系统的基于命令过滤的模糊自适应控制设计
DOI：
10.1109/tfuzz.2016.2574913
复制
发表时间：
2017
影响因子：
11.9
通讯作者：
佟绍成
中科院分区：
文献类型：
--
作者：
李永明;佟绍成
研究了多输入多输出不确定切换非严格反馈非线性系统的自适应模糊跟踪控制设计问题。模糊逻辑系统被引入到识别未知的非线性函数（状态可测的情况下）和建模的不确定的非线性系统（状态不可测的情况下）。基于组合指令滤波器和自适应模糊控制技术，提出了状态反馈和基于模糊控制器的输出反馈控制设计方案。所提出的自适应模糊控制器不仅解决了传统反推控制方案中存在的“复杂性爆炸”问题，而且避免了偏导数的计算。基于公共李雅普诺夫函数方法，证明了模糊控制系统在任意切换下的稳定性。两个仿真例子进一步证明了所提出的控制策略的有效性。
The adaptive fuzzy tracking control design problem for multi-input and multi-output uncertain switched nonstrict-feedback nonlinear systems with arbitrary switchings is investigated in this paper. Fuzzy logic systems are introduced to identify the unknown nonlinear functions (for state measurable case) and model the uncertain nonlinear systems (for state immeasurable case). Both state feedback and observer-based output feedback control design schemes are developed based on combined command filter and adaptive fuzzy control technique. The proposed adaptive fuzzy controllers not only solve the “explosion of complexity” problem existing in conventional backstepping control schemes, but as well as avoid the calculation of partial derivatives. Furthermore, the stability of the fuzzy control systems under arbitrary switchings is proven based on the common Lyapunov function method. Two simulation examples are presented to further demonstrate the effectiveness of the proposed control strategies.