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Content Provider | IEEE Xplore Digital Library |
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Author | Zhihong Man Xinghuo Yu Xiaojiang Zhang Shiyu Gao |
Copyright Year | 2003 |
Description | Author affiliation: Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore (Zhihong Man) |
Abstract | In this paper, we propose a new dynamical fuzzy modeling technique for SISO complex systems. It is seen that, the whole state-space of a complex system is divided into subspaces and a linear time-invariant (LTI) model is then used to approximate the complex system in each subspace. However, the global dynamical fuzzy model of the complex system is derived by aggregating all subsystem poles and zeros using the weighted average fuzzy inference approach instead of aggregating all subsystem parameter matrices. The motivation of such a modeling technique is to make the system and its global dynamical fuzzy model have the same stability property. The eigenstructure-assignment for linear time varying (LTV) systems and sliding mode control technique is then used to design a controller to stabilize the new global dynamical fuzzy system. A simulation example is given in support of the new dynamical fuzzy modeling and control. |
Sponsorship | IEEE Industrial Electronics Soc |
Starting Page | 2995 |
Ending Page | 3000 |
File Size | 330019 |
Page Count | 6 |
File Format | |
ISBN | 0780379063 |
DOI | 10.1109/IECON.2003.1280725 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-11-02 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fuzzy control Fuzzy systems Sliding mode control Eigenvalues and eigenfunctions Stability Poles and zeros Fuzzy sets Marine vehicles Time varying systems Control systems |
Content Type | Text |
Resource Type | Article |
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