A neural network based method for solving discrete-time nonlinear output regulation problem in sampled-data systems
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香港中文大學研究人員

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摘要Many of nonlinear control systems are sampled-data System, i.e. the continuous-time nonlinear plants are controlled by digital controllers. So it is important to investigate that if the solution of the discrete-time output regulation problem is effective to sampled-data nonlinear control systems. Recently a feedforward neural network based approach to solving the discrete regulator equations has been presented. This approach leads to an effective way to practically solve the discrete nonlinear output regulation problem. In this paper the approach is used to sampled-data nonlinear control system. The simulation of the sampled-data system shows that the control law designed by the proposed approach performs much better than the linear control law does.
著者Wang D, Huang J
會議名稱International Symposium on Neural Networks (ISNN 2004)
會議開始日19.08.2004
會議完結日21.08.2004
會議地點Dalian
期刊名稱Lecture Notes in Artificial Intelligence
詳細描述PT 2, Lecture Notes in Computer Science 3174.
出版年份2004
月份1
日期1
卷號3174
出版社SPRINGER-VERLAG BERLIN
頁次59 - 64
國際標準書號3-540-22843-8
國際標準期刊號0302-9743
語言英式英語
Web of Science 學科類別Automation & Control Systems; Computer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods

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