Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints

Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints
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具有全状态约束的非三角结构随机切换非线性系统的自适应模糊控制

DOI:
10.1109/tfuzz.2018.2883374
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发表时间:
2019-08
影响因子:
11.9
通讯作者:
Gao Huijun
Gao Huijun
中科院分区:
计算机科学1区
文献类型:
--
作者:
Sun Kangkang;Mou Shaoshuai;Qiu Jianbin;Wang Tong;Gao Huijun

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研究了一类具有全状态约束的非三角结构随机切换非线性系统的自适应模糊控制问题。非三角形结构非线性系统的一个显著特点是在现有的基于Backstepping的分析和设计中存在所谓的代数回路问题。利用模糊基函数的性质来规避这个代数循环问题。基于障碍李雅普诺夫函数,设计了一种自适应模糊随机切换控制方案。证明了闭环系统中的所有信号在全状态约束下是半全局一致最终有界的。通过仿真研究验证了所提出的控制方案的有效性。
The problem of adaptive fuzzy control is investigated for a class of nontriangular structural stochastic switched nonlinear systems with full state constraints in this paper. A remarkable feature of the nontriangular structural nonlinear system is the so-called algebraic loop problem in the existing backstepping-based analysis and design. Properties of fuzzy basis functions are utilized to circumvent this algebraic loop problem. Based on the Barrier Lyapunov function, an adaptive fuzzy stochastic switched control scheme is designed. It is proven that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded with full state constraints. The effectiveness of the proposed control scheme is verified via simulation studies.
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