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Universal Fuzzy Controllers for Non-affine Nonlinear Systems [electronic resource] / by Qing Gao.

By: Gao, Qing [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Theses, Recognizing Outstanding Ph.D. Research: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XVII, 142 p. 21 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811019746.Subject(s): Control engineering | Computational intelligence | System theory | Control theory | Mathematical models | Control and Systems Theory | Computational Intelligence | Systems Theory, Control | Mathematical Modeling and Industrial MathematicsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8312 | 003 Online resources: Click here to access online
Contents:
Introduction -- Universal Fuzzy Models and Universal Fuzzy Controllers for Non-affine Nonlinear Systems -- Universal Fuzzy Models and Universal Fuzzy Controllers for Stochastic Non-affine Nonlinear Systems -- Sliding Mode Control Based on T-S Fuzzy Models -- Universal Integral Sliding-Mode Fuzzy Controllers for Non-affine Nonlinear Systems -- Universal Integral Sliding-Mode Fuzzy Controllers for Stochastic Non-affine Nonlinear Systems -- Concluding Remarks.
In: Springer Nature eBookSummary: This thesis provides a systematic and integral answer to an open problem concerning the universality of dynamic fuzzy controllers. It presents a number of novel ideas and approaches to various issues including universal function approximation, universal fuzzy models, universal fuzzy stabilization controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy-to-use form of fuzzy variable structure control. Emphasis is given to the point that, in the context of deterministic/stochastic systems in general, the authors are in fact discussing non-affine nonlinear systems using a class of generalized T-S fuzzy models, which offer considerable potential in a wide range of applications.
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Introduction -- Universal Fuzzy Models and Universal Fuzzy Controllers for Non-affine Nonlinear Systems -- Universal Fuzzy Models and Universal Fuzzy Controllers for Stochastic Non-affine Nonlinear Systems -- Sliding Mode Control Based on T-S Fuzzy Models -- Universal Integral Sliding-Mode Fuzzy Controllers for Non-affine Nonlinear Systems -- Universal Integral Sliding-Mode Fuzzy Controllers for Stochastic Non-affine Nonlinear Systems -- Concluding Remarks.

This thesis provides a systematic and integral answer to an open problem concerning the universality of dynamic fuzzy controllers. It presents a number of novel ideas and approaches to various issues including universal function approximation, universal fuzzy models, universal fuzzy stabilization controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy-to-use form of fuzzy variable structure control. Emphasis is given to the point that, in the context of deterministic/stochastic systems in general, the authors are in fact discussing non-affine nonlinear systems using a class of generalized T-S fuzzy models, which offer considerable potential in a wide range of applications.

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