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。
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.
基于多级维纳滤波器，提出了一种多输入多输出系统中的降秩自适应均衡算法。
Based on multistage Wiener filter, an reduced-rank adaptive equalizer for multiple input multiple output systems was proposed.
本文研究了一类具有参数化的严格输出反馈形式的多输入多输出非线性系统的自适应控制问题。
The goal of this paper is to investigate the adaptive control based on output feedback for a class of parametric strict-feedback multi-input multi-output nonlinear systems with parametric uncertainty.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
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。
Combining the adaptive fuzzy control with the adaptive fuzzy identification, this paper presents an indirect adaptive fuzzy control scheme for MIMO nonlinear systems.
针对一类多输入多输出非仿射非线性系统，基于神经网络设计了一种自适应控制方案。
A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed, which are implicit function with respect to control input.
针对一类多输入多输出非仿射非线性系统，基于神经网络设计了一种自适应控制方案。
A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed, which are implicit function with respect to control input.
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