The problem of adaptive fuzzy control for a class of MIMO nonlinear systems with unknown constant control gains is studied in this paper.
研究了一类具有未知常数控制增益的MIMO非线性系统的自适应模糊控制问题。
Combining the adaptive fuzzy control with the adaptive fuzzy identification, this paper presents an indirect adaptive fuzzy control scheme for MIMO nonlinear systems.
针对多输入多输出非线性系统，把自适应模糊控制和自适应模糊辨识结合起来，提出了一种间接自适应模糊控制方案。
The decoupling problem for a class of nonlinear MIMO time-delay systems is studied with differential geometric method.
利用微分几何方法研究了一类非线性多输入多输出时滞系统的解耦问题。
In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output (MIMO) nonlinear systems.
针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。
Conventional linear flight control systems do not satisfy nonlinear control requirement of aircraft with thrust vector, which is a multiple control redundances and nonlinear MIMO system.
常规线性飞控系统针对推力矢量飞机这样的多控制冗余、非线性MIMO系统，无法实现非线性控制。
The design problem of reduced order state observer for a class of multi input multi output (MIMO) nonlinear time varying systems is studied in this paper.
研究一类多输入多输出(MIMO)非线性时变系统的降维状态观测器设计问题。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
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