A nonlinear sliding mode control design approach based on neural network modelling

✍ Scribed by A. I. Bhatti; S. K. Spurgeon; X. Y. Lu

• Publisher: John Wiley and Sons
• Year: 1999
• Tongue: English
• Weight: 255 KB
• Volume: 9
• Category: Article
• ISSN: 1049-8923
• DOI: 10.1002/(sici)1099-1239(199906)9:7<397::aid-rnc412>3.0.co;2-0

✦ Synopsis

A complete nonlinear framework for the modelling and robust control of nonlinear systems is proposed. The use of neural networks for continuous time modelling to obtain a certain nonlinear canonical form is investigated. The model obtained is used with recently proposed dynamic sliding mode controller design methods. The robustness bounds needed for controller design are determined from modelling errors. A modi"ed version of the backpropagation theorem is also introduced.