Robust control of nonlinear dynamic systems using sliding mode control and productive networks

Jin-Chern Chiou*, Ming Chau Hwang, Shuess Der Wu

*此作品的通信作者

研究成果: Conference article同行評審

1 引文 斯高帕斯(Scopus)

摘要

A new robust controller design of nonlinear dynamic systems is proposed by combining with sliding mode control (SMC) and productive networks (PN). Essentially, the sliding mode control utilizes a high-speed switching control action to drive nonlinear plant's state trajectories toward a specific hyperplane in the state space, and to maintain the state trajectories sliding on the specific hyperplane for all time. Productive networks, which are a special type of artificial neural networks, are then used to implement reaching and sliding conditions and to tackle the drawbacks of SMC such as chattering or high control gain. Attractive features of the proposed method include a systematic procedure of controller design, a reduction in chattering, robustness against model uncertainties and external disturbances. A numerical example is given to demonstrate the effectiveness of the proposed method.

原文English
文章編號532730
頁(從 - 到)4231-4235
頁數5
期刊Proceedings of the American Control Conference
6
DOIs
出版狀態Published - 21 6月 1995
事件Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA
持續時間: 21 6月 199523 6月 1995

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