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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shengchao Zhen Han Zhao Kang Huang Bin Deng Ye-Hwa Chen |
| Copyright Year | 1993 |
| Abstract | We first investigate the fundamental properties of the mechanical system related to the control design. Then, a new optimal robust control is proposed for mechanical systems with fuzzy uncertainty. Fuzzy set theory is used to describe the uncertainty in the mechanical system. The desirable system performance is deterministic (assuring the bottom line) as well as fuzzy (enhancing the cost consideration). The proposed control is deterministic and is not the usual if-then rule based. The resulting controlled system is uniformly bounded and uniformly ultimately bounded proved via the Lyapunov minimax approach. A performance index (the combined cost, which includes average fuzzy system performance and control effort) is proposed based on the fuzzy information. The optimal design problem associated with the control can then be solved by minimizing the performance index. The resulting control design is systematic and is able to guarantee the deterministic performance, as well as minimizing the cost. In the end, a mechanical system is chosen for demonstration. |
| Sponsorship | IEEE Computational Intelligence Society |
| Starting Page | 2012 |
| Ending Page | 2023 |
| Page Count | 12 |
| File Size | 675177 |
| File Format | |
| ISSN | 10636706 |
| Volume Number | 23 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mechanical systems Control design Mechanical factors Uncertainty Vectors Robust control optimal design Fuzzy mechanical systems fuzzy set theory robust control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Control and Systems Engineering Computational Theory and Mathematics |
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