控制理论(社会学)
自适应控制
多输入多输出
模糊控制系统
非线性系统
跟踪误差
模糊逻辑
Lyapunov稳定性
有界函数
补偿(心理学)
计算机科学
理论(学习稳定性)
李雅普诺夫函数
数学
数学优化
控制(管理)
人工智能
心理学
计算机网络
数学分析
频道(广播)
物理
量子力学
机器学习
精神分析
作者
Yaqin Zheng,Yan Jun Liu,Shaocheng Tong,Tieshan Li
标识
DOI:10.1109/acc.2009.5160221
摘要
A combined adaptive fuzzy control method of a class of uncertain MIMO nonlinear systems is studied in this paper. In this method, the proposed controllers consist of two parts: the direct and indirect adaptive control terms. Compared with existing methods for controlling MIMO systems, this novel method can trade off fuzzy descriptions for control rules at the same time to achieve better adaptation properties and improve control effect. In addition, most methods need to assume that the minimum approximation error is required to satisfy the square-integrable condition. The method proposed in this paper doesn't need this assumption, and the effect of minimum approximation error could be removed by the adaptive compensation term. Based on Lyapunov stability theory, it can be ensured that all signals of closed-loop system are bounded, and the tracking errors converge to a small neighborhood around zero. Simulation results indicate the validity of the proposed method.
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