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A criterion of robustness intelligent nonlinear control for multiple time-delay systems based on fuzzy Lyapunov methods
A control system with state feedback controllers, in which the fuzzy Lyapunov approach is developed for the stability criterion, is studied. The proposed intelligent design provides a systematic and effective framework for the control systems. The global nonlinear controller is constructed based on...
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| Published in: | Nonlinear dynamics 2014-04, Vol.76 (1), p.23-31 |
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| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c349t-629b2f7523ffc1d8e328247157c456bc5ea5b7b13e428623a345b5326996ce963 |
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| cites | cdi_FETCH-LOGICAL-c349t-629b2f7523ffc1d8e328247157c456bc5ea5b7b13e428623a345b5326996ce963 |
| container_end_page | 31 |
| container_issue | 1 |
| container_start_page | 23 |
| container_title | Nonlinear dynamics |
| container_volume | 76 |
| creator | Chen, Cheng-Wu |
| description | A control system with state feedback controllers, in which the fuzzy Lyapunov approach is developed for the stability criterion, is studied. The proposed intelligent design provides a systematic and effective framework for the control systems. The global nonlinear controller is constructed based on T–S (Takagi–Sugeno) fuzzy controller design techniques, blending all such local state feedback controllers. Based on this design, the stability conditions of a multiple time-delay system are derived in terms of the fuzzy Lyapunov theory. The effectiveness and the feasibility of the proposed controller design method are demonstrated through numerical simulations. |
| doi_str_mv | 10.1007/s11071-013-0869-9 |
| format | article |
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The effectiveness and the feasibility of the proposed controller design method are demonstrated through numerical simulations.</description><identifier>ISSN: 0924-090X</identifier><identifier>EISSN: 1573-269X</identifier><identifier>DOI: 10.1007/s11071-013-0869-9</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Automotive Engineering ; Classical Mechanics ; Computer simulation ; Control ; Control methods ; Control stability ; Control systems ; Control systems design ; Controllers ; Design engineering ; Dynamical Systems ; Engineering ; Feedback control ; Fuzzy ; Fuzzy control ; Fuzzy logic ; Fuzzy set theory ; Fuzzy systems ; Mechanical Engineering ; Nonlinear control ; Nonlinear dynamics ; Nonlinear systems ; Original Paper ; Robust control ; Robustness (mathematics) ; Stability criteria ; State feedback ; System effectiveness ; Time delay systems ; Vibration</subject><ispartof>Nonlinear dynamics, 2014-04, Vol.76 (1), p.23-31</ispartof><rights>Springer Science+Business Media Dordrecht 2013</rights><rights>Nonlinear Dynamics is a copyright of Springer, (2013). 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The effectiveness and the feasibility of the proposed controller design method are demonstrated through numerical simulations.</description><subject>Automotive Engineering</subject><subject>Classical Mechanics</subject><subject>Computer simulation</subject><subject>Control</subject><subject>Control methods</subject><subject>Control stability</subject><subject>Control systems</subject><subject>Control systems design</subject><subject>Controllers</subject><subject>Design engineering</subject><subject>Dynamical Systems</subject><subject>Engineering</subject><subject>Feedback control</subject><subject>Fuzzy</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy set theory</subject><subject>Fuzzy systems</subject><subject>Mechanical Engineering</subject><subject>Nonlinear control</subject><subject>Nonlinear dynamics</subject><subject>Nonlinear systems</subject><subject>Original Paper</subject><subject>Robust control</subject><subject>Robustness 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| ispartof | Nonlinear dynamics, 2014-04, Vol.76 (1), p.23-31 |
| issn | 0924-090X 1573-269X |
| language | eng |
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| source | Springer Link |
| subjects | Automotive Engineering Classical Mechanics Computer simulation Control Control methods Control stability Control systems Control systems design Controllers Design engineering Dynamical Systems Engineering Feedback control Fuzzy Fuzzy control Fuzzy logic Fuzzy set theory Fuzzy systems Mechanical Engineering Nonlinear control Nonlinear dynamics Nonlinear systems Original Paper Robust control Robustness (mathematics) Stability criteria State feedback System effectiveness Time delay systems Vibration |
| title | A criterion of robustness intelligent nonlinear control for multiple time-delay systems based on fuzzy Lyapunov methods |
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