NDLI: The application of grey system theory combined with fuzzy reasoning in high order nonlinear control system

Content Provider	IEEE Xplore Digital Library
Author	Zhang Shuhong Chen Mianyun Song Yexin
Copyright Year	2001
Description	Author affiliation: Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China (Zhang Shuhong)
Abstract	A system with partial unknown structure, parameters, and characteristics is called a grey system. Grey system theory can be employed to improve the control performance of a system without sufficient information or with highly nonlinear property. In the paper, grey system theory is introduced into sliding mode control of a high order nonlinear system and a novel grey fuzzy sliding mode controller is developed. In this controller design, a grey prediction model combined with fuzzy reasoning is proposed to obtain a sliding mode control strategy. The controller can drive the state from an arbitrary initial point of state to the origin along a sliding mode hyper plane quickly and reduce the vibration phenomenon that is caused by switching delay brought by system inertia. Grey system theory is an efficient tool in the analysis and control of nonlinear uncertain systems.
Sponsorship	China Assoc. Sci. & Technol.(CAST)
Starting Page	291
Ending Page	296
File Size	401027
Page Count	6
File Format	PDF
ISBN	0780370104
DOI	10.1109/ICII.2001.983834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Delay systems Nonlinear control systems Predictive models Control systems Vibration control Nonlinear systems Fuzzy reasoning Sliding mode control Fuzzy systems
Content Type	Text
Resource Type	Article

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