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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xie, X. Yue, D. Zhang, H. Xue, Y. |
| Copyright Year | 2013 |
| Abstract | This paper deals with the problem of control synthesis of discrete-time Takagi–Sugeno fuzzy systems by employing a novel multiinstant homogenous polynomial approach. A new multiinstant fuzzy control scheme and a new class of fuzzy Lyapunov functions, which are homogenous polynomially parameter-dependent on both the current-time normalized fuzzy weighting functions and the past-time normalized fuzzy weighting functions, are proposed for implementing the object of relaxed control synthesis. Then, relaxed stabilization conditions are derived with less conservatism than existing ones. Furthermore, the relaxation quality of obtained stabilization conditions is further ameliorated by developing an efficient slack variable approach, which presents a multipolynomial dependence on the normalized fuzzy weighting functions at the current and past instants of time. Two simulation examples are given to demonstrate the effectiveness and benefits of the results developed in this paper. |
| Page Count | 11 |
| File Size | 758796 |
| Starting Page | 630 |
| Ending Page | 640 |
| File Format | |
| ISSN | 21682267 |
| Volume Number | 46 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Frequency modulation Fuzzy systems Lyapunov methods Polynomials Symmetric matrices Linear matrix inequalities Cybernetics stabilization conditions Homogenous matrix polynomials multiinstant reducing conservatism slack variable |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software |
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