Sliding Mode Fuzzy Controllers by Ahmadieh Khanesar (29 results)

Paperback. Condition: Very Good. 2022 Springer paperback edition. Unread copy in very good condition.

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Paperback. Condition: new. Paperback. This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:a review of various existing structures of sliding-mode fuzzy control;a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;state-of-the-art procedures for the design of a sliding-mode fuzzy controller;source codes including MATLAB and Simulink codes illustrating the simulation of these controllers, particularly the adaptive controllers;a short bibliography for each chapter for readers interested in learning more on a particular subject; andillustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Taschenbuch. Condition: Neu. Neuware -This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:¿ a review of various existing structures of sliding-mode fuzzy control;¿ a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;¿ state-of-the-art procedures for the design of a sliding-mode fuzzy controller;¿ source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;¿ a short bibliography for each chapter for readers interested in learning more on a particular subject; and¿ illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch.

Buch. Condition: Neu. Neuware -This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:¿ a review of various existing structures of sliding-mode fuzzy control;¿ a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;¿ state-of-the-art procedures for the design of a sliding-mode fuzzy controller;¿ source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;¿ a short bibliography for each chapter for readers interested in learning more on a particular subject; and¿ illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers.The main features of this book include:-a review of various existing structures of sliding-mode fuzzy control;-a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;-state-of-the-art procedures for the design of a sliding-mode fuzzy controller;-source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;-a short bibliography for each chapter for readers interested in learning more on a particular subject; and-illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers.The main features of this book include:-a review of various existing structures of sliding-mode fuzzy control;-a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;-state-of-the-art procedures for the design of a sliding-mode fuzzy controller;-source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;-a short bibliography for each chapter for readers interested in learning more on a particular subject; and-illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.

Hardcover. Condition: Brand New. 253 pages. 9.25x6.10x0.75 inches. In Stock.

Paperback. Condition: new. Paperback. This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:a review of various existing structures of sliding-mode fuzzy control;a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;state-of-the-art procedures for the design of a sliding-mode fuzzy controller;source codes including MATLAB and Simulink codes illustrating the simulation of these controllers, particularly the adaptive controllers;a short bibliography for each chapter for readers interested in learning more on a particular subject; andillustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers.The main features of this book include:-a review of various existing structures of sliding-mode fuzzy control;-a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;-state-of-the-art procedures for the design of a sliding-mode fuzzy controller;-source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;-a short bibliography for each chapter for readers interested in learning more on a particular subject; and-illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones. 256 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers.The main features of this book include:-a review of various existing structures of sliding-mode fuzzy control;-a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;-state-of-the-art procedures for the design of a sliding-mode fuzzy controller;-source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;-a short bibliography for each chapter for readers interested in learning more on a particular subject; and-illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones. 256 pp. Englisch.

Hardcover. Condition: Brand New. 253 pages. 9.25x6.10x0.75 inches. In Stock. This item is printed on demand.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shows how increasingly popular sliding-mode control techniques can be integrated with adaptive fuzzy techniquesBrings together methods scattered through the literature and provides an in-depth comparison of their pros and consIncludes MATLA.

Condition: New. PRINT ON DEMAND.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.