针对模糊时滞系统,设计了非线性状态反馈控制器以确保闭环系统全局指数稳定。
Global exponential stability of fuzzy control systems with delays is studied, a nonlinear state feedback controller is designed to ensure the global exponential stability of the closed-loop system.
本课题主要研究基于模糊控制方法的非线性时滞系统鲁棒控制。
Accordingly, based on fuzzy control technique, the purpose of this dissertation is to study robust control for nonlinear time delay systems.
在此基础上,又设计了模糊神经网络预测控制器,实现了对非线性、大时滞系统高精度的自适应控制。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
针对一类具有输入与状态时滞的参数不确定非线性系统,基于T - S模糊模型,讨论该系统的保性能控制问题。
Based on T-S fuzzy model, the guaranteed cost control problem of a class of uncertain nonlinear systems with input and state time delay is discussed.
针对一类具有输入与状态时滞的参数不确定非线性系统,基于T - S模糊模型,讨论该系统的保性能控制问题。
Based on T-S fuzzy model, the guaranteed cost control problem on uncertain nonlinear systems with input and state time delay was discussed.
本文对一类离散非线性互联时滞系统,给出了模糊分散状态反馈和基于观测器的分散输出反馈模糊控制方法。
Developed in this paper are fuzzy decentralized state feedback and observer-based decentralized output feedback controllers for a class of discrete nonlinear interconnected systems with time-delay.
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.
提出了一类基于T - S模糊模型的非线性时滞随机系统均方镇定的LMI通用设计方法。
LMI design method for mean square stabilization of a class of nonlinear stochastic systems with time-delay based on the T-S fuzzy model is introduced.
基于记忆型状态反馈策略,首先给出由T - S模糊模型描述的非线性时滞系统在时滞精确已知情况下的鲁棒镇定准则;然后给出非线性时滞系统在时滞未知情况下的鲁棒自适应控制策略。
The stabilization criteria for nonlinear time-delay system described by fuzzy T-S model are proposed on (condition) that the time-delay is precisely available via memory state feedback strategy.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模;
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
基于T S模糊模型和平行分布补偿器(PDC) ,讨论了非线性时滞系统的模糊最优问题。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器(PDC) ,讨论了非线性时滞系统的模糊最优问题。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
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