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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Main Authors: Nagi F., Saleh H., Nagi J.
Other Authors: 56272534200
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Published: 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
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
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
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
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.
author2 56272534200
author_facet 56272534200
Nagi F.
Saleh H.
Nagi J.
format Article
author Nagi F.
Saleh H.
Nagi J.
author_sort Nagi F.
title Sugeno-type fuzzy time-optimal controller for nonlinear systems
title_short 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_sort sugeno-type fuzzy time-optimal controller for nonlinear systems
publishDate 2023
_version_ 1806425597492068352
score 13.214268