Indirect adaptive neural networks control for a class of nonlinear systems

机译：一类非线性系统的间接自适应神经网络控制

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Based on sliding mode control theory and approximation capability of multilayer neural networks (MNNs), a design scheme of a indirect robust adaptive controller for a class of nonlinear systems is proposed in this paper. The scheme guarantees the global stability of the closed-loop system while the closed-loop system tracking error converges to zero.

机译：基于滑模控制理论和多层神经网络的逼近能力，提出了一种针对一类非线性系统的间接鲁棒自适应控制器的设计方案。该方案保证了闭环系统的全局稳定性，而闭环系统的跟踪误差收敛到零。

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来源
《Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on》|2002年|p.819-823|共5页
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Yuequan Yang; Tianping Zhang; Xuelong Hu;
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中图分类无线电电子学、电信技术;
关键词
neurocontrollers; multilayer perceptrons; adaptive control; nonlinear control systems; variable structure systems; control system synthesis; robust control; closed loop systems; convergence; indirect adaptive neural networks control; nonlinear system;

机译：神经控制器多层感知器自适应控制非线性控制系统;可变结构系统;控制系统综合鲁棒的控制;闭环系统;收敛;间接自适应神经网络控制;非线性系统;

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Indirect adaptive neural networks control for a class of nonlinear systems

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