The problem of fuzzy variable structure control of discrete chaotic system is studied.
研究了离散混沌系统模糊变结构控制问题。
Discrete chaotic system is described based on T-S fuzzy models, and the system is exchanged into local linear model with fuzzy method.
采用T - S模糊模型描述离散混沌系统，将离散混沌系统模糊化为局部线性模型。
A direct adaptive fuzzy predictive control method for a class of unknown nonlinear discrete systems is presented by introducing adaptive fuzzy logic system into the predictive control strategy.
一类未知非线性离散系统的直接自适应模糊预测控制方法，通过引入自适应模糊逻辑系统预测控制策略。
For nonlinear discrete systems, the T-S model is constructed and the parametric uncertainty and time-delay terms are introduced to make the fuzzy model approach to the original system more exactly.
针对非线性离散系统，构造t - S模型，引入参数不确定项和时滞项，使得模糊模型能够更精确逼近原系统。
For nonlinear discrete systems, the T-S model is constructed and the parametric uncertainty and time-delay terms are introduced to make the fuzzy model approach to the original system more exactly.
针对非线性离散系统，构造t - S模型，引入参数不确定项和时滞项，使得模糊模型能够更精确逼近原系统。
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