Sugeno-type fuzzy time-optimal controller for nonlinear systems
Solving classical optimal control problems in nonlinear cases are an arduous task. Determination of time-optimal solutions by solving a two-point boundary-value problem (TPBVPs) is generally difficult. In the present study, an alternative technique to achieve a near-optimal controller for nonlinear...
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2023
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| author | Nagi F. Saleh H. Nagi J. |
| author2 | 56272534200 |
| author_facet | 56272534200 Nagi F. Saleh H. Nagi J. |
| author_sort | Nagi F. |
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| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Solving classical optimal control problems in nonlinear cases are an arduous task. Determination of time-optimal solutions by solving a two-point boundary-value problem (TPBVPs) is generally difficult. In the present study, an alternative technique to achieve a near-optimal controller for nonlinear systems without solving the TPBVP problem is investigated. The proposed controller uses the phase response trajectories of sliding-mode and fuzzy bang-bang controllers to achieve a near-optimal solution. The input membership function is tuned on-line to improve the time-optimal output. The controller rules are selected to satisfy stability and optimality conditions for the new fuzzy time-optimal controller. The paper describes a systematic procedure for design of the controller to achieve the desired result. To benchmark the controller performance, a sliding-mode controller is used for comparison. Simulation of three nonlinear examples shows promising results � 2012 Elsevier B.V. |
| format | Article |
| id | my.uniten.dspace-30086 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
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| spelling | my.uniten.dspace-300862023-12-29T15:44:25Z Sugeno-type fuzzy time-optimal controller for nonlinear systems Nagi F. Saleh H. Nagi J. 56272534200 24067645400 25825455100 Bang-bang control Fuzzy logic control State trajectories Time-optimal control Bang bang control systems Benchmarking Intelligent control Optimal control systems Bang-Bang control Bang-bang controllers Controller performance Fuzzy logic control Near-optimal solutions Optimal control problem Optimality conditions Phase response Sliding mode controller Sliding modes State trajectory Time optimal control Time-optimal Time-optimal controller Time-optimal solution Two-point boundary value problem Nonlinear systems Solving classical optimal control problems in nonlinear cases are an arduous task. Determination of time-optimal solutions by solving a two-point boundary-value problem (TPBVPs) is generally difficult. In the present study, an alternative technique to achieve a near-optimal controller for nonlinear systems without solving the TPBVP problem is investigated. The proposed controller uses the phase response trajectories of sliding-mode and fuzzy bang-bang controllers to achieve a near-optimal solution. The input membership function is tuned on-line to improve the time-optimal output. The controller rules are selected to satisfy stability and optimality conditions for the new fuzzy time-optimal controller. The paper describes a systematic procedure for design of the controller to achieve the desired result. To benchmark the controller performance, a sliding-mode controller is used for comparison. Simulation of three nonlinear examples shows promising results � 2012 Elsevier B.V. Final 2023-12-29T07:44:25Z 2023-12-29T07:44:25Z 2013 Article 10.1016/j.fss.2012.04.011 2-s2.0-84868580408 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868580408&doi=10.1016%2fj.fss.2012.04.011&partnerID=40&md5=b123e67d427f07cadb14abf4b586c275 https://irepository.uniten.edu.my/handle/123456789/30086 212 1 20 Scopus |
| spellingShingle | Bang-bang control Fuzzy logic control State trajectories Time-optimal control Bang bang control systems Benchmarking Intelligent control Optimal control systems Bang-Bang control Bang-bang controllers Controller performance Fuzzy logic control Near-optimal solutions Optimal control problem Optimality conditions Phase response Sliding mode controller Sliding modes State trajectory Time optimal control Time-optimal Time-optimal controller Time-optimal solution Two-point boundary value problem Nonlinear systems Nagi F. Saleh H. Nagi J. Sugeno-type fuzzy time-optimal controller for nonlinear systems |
| title | Sugeno-type fuzzy time-optimal controller for nonlinear systems |
| title_full | Sugeno-type fuzzy time-optimal controller for nonlinear systems |
| title_fullStr | Sugeno-type fuzzy time-optimal controller for nonlinear systems |
| title_full_unstemmed | Sugeno-type fuzzy time-optimal controller for nonlinear systems |
| title_short | Sugeno-type fuzzy time-optimal controller for nonlinear systems |
| title_sort | sugeno-type fuzzy time-optimal controller for nonlinear systems |
| topic | Bang-bang control Fuzzy logic control State trajectories Time-optimal control Bang bang control systems Benchmarking Intelligent control Optimal control systems Bang-Bang control Bang-bang controllers Controller performance Fuzzy logic control Near-optimal solutions Optimal control problem Optimality conditions Phase response Sliding mode controller Sliding modes State trajectory Time optimal control Time-optimal Time-optimal controller Time-optimal solution Two-point boundary value problem Nonlinear systems |
| url_provider | http://dspace.uniten.edu.my/ |