Robust adaptive single neural control for a class of uncertain nonlinear systems with input nonlinearity

Chang WD

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Robust adaptive single neural control for a class of uncertain nonlinear systems with input nonlinearity

机译：具有输入非线性的一类不确定非线性系统的鲁棒自适应单神经控制

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This paper presents an adaptive single neural controller for a class of uncertain nonlinear systems subject to a nonlinear input. A new type of neuron called auto-tuning neuron with three adjustable parameters will be introduced to construct a single neural controller. From the concept of the sliding mode control, a simple adaptation law, minimizing the value of a designed sliding condition based on a modified MIT rule, is developed for online updating these parameters in the auto-tuning neuron, even if the nonlinear plant considered is with the uncertainty, external noisy perturbation, and nonlinear input. Lastly, a controlled well-known Duffing-Holmes chaotic system is illustrated to show the effectiveness of the proposed neural controller. (C) 2004 Elsevier Inc. All rights reserved.

机译：本文提出了一种针对一类具有非线性输入的不确定非线性系统的自适应单神经控制器。一种具有三个可调参数的新型神经元称为自动调整神经元将被引入以构建单个神经控制器。从滑模控制的概念出发，开发了一种简单的自适应律，可以基于修改的MIT规则最小化设计的滑移条件的值，即使在考虑了非线性植物的情况下，也可以在线更新自整定神经元中的这些参数。具有不确定性，外部噪声扰动和非线性输入。最后，说明了一个受控的众所周知的Duffing-Holmes混沌系统，以显示所提出的神经控制器的有效性。（C）2004 Elsevier Inc.保留所有权利。

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《Information Sciences: An International Journal》 |2005年第3期|共11页
作者
Chang WD;
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正文语种 eng
中图分类自动化技术、计算机技术;
关键词
auto-tuning neuron; adaptive neural control; chaotic system; sliding condition; modified MIT rule; DYNAMIC-SYSTEMS; DELAY;

机译：自整定神经元;自适应神经控制;混沌系统;滑动条件;修改的MIT规则;动态系统;延迟;

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1. Robust adaptive single neural control for a class of uncertain nonlinear systems with input nonlinearity [J] . Chang WD Information Sciences: An International Journal . 2005,第1a3期

机译：具有输入非线性的一类不确定非线性系统的鲁棒自适应单神经控制
2. Design of Robust Adaptive Fuzzy Controller for a Class of Single-Input Single-Output (SISO) Uncertain Nonlinear Systems [J] . Jieqiong Lin, Jiakang Zhou, Mingming Lu, Mathematical Problems in Engineering: Theory, Methods and Applications . 2020,第1期

机译：一类单输入单输出（SISO）不确定非线性系统的鲁棒自适应模糊控制器设计
3. Improved Adaptive Sliding Mode Control for a Class of Uncertain Nonlinear Systems Subjected to Input Nonlinearity via Fuzzy Neural Networks [J] . Nguyen Tat-Bao-Thien, Liao Teh-Lu, Yan Jun-Juh Mathematical Problems in Engineering . 2015,第PTa6期

机译：一类不确定非线性系统的改进自适应滑模控制。
4. Robust adaptive neural network control of a class of perturbed uncertain pure-feedback nonlinear systems with dead-zone input [C] . Gang Sun, Mingxin Wang, Shuangwu Wu International Conference on Information Science and Technology . 2016

机译：一类带死区输入的不确定不确定纯反馈非线性系统的鲁棒自适应神经网络控制
5. Adaptive and robust controls for uncertain linear and nonlinear systems. [D] . Son, Jung E. 2012

机译：不确定线性和非线性系统的自适应鲁棒控制。
6. Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay [O] . Ruliang Wang, Jie Li, Shanshan Zhang, 2013

机译：一类具有时变时滞的不确定非线性系统的鲁棒自适应控制
7. Improved Adaptive Sliding Mode Control for a Class of Uncertain Nonlinear Systems Subjected to Input Nonlinearity via Fuzzy Neural Networks [O] . Tat-Bao-Thien Nguyen, Teh-Lu Liao, Jun-Juh Yan 2015

机译：通过模糊神经网络改进了一类经历输入非线性的不确定非线性系统的自适应滑模控制

Robust adaptive single neural control for a class of uncertain nonlinear systems with input nonlinearity

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