Robust adaptive control for fractional-order systems with disturbance and saturation:

Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturati...

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Bibliographische Detailangaben
Beteiligte Personen: Chen, Mou (VerfasserIn), Shao, Shuyi (VerfasserIn), Shi, Peng 1958- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: New York, N.Y. The American Society of Mechanical Engineers [2018]
Schlagwörter:
Links:https://asmedigitalcollection.asme.org/ebooks/book/42/Robust-Adaptive-Control-for-Fractional-Order
Zusammenfassung:Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered together.
This book offers chapter coverage of fractional calculus and fractional-order systems; fractional-order PID controller and fractional-order disturbance observer; design of fractional-order controllers for nonlinear chaotic systems and some applications; sliding mode control for fractional-order nonlinear systems based on disturbance observer; disturbance observer based neural control for an uncertain fractional-order rotational mechanical system; adaptive neural tracking control for uncertain fractional-order chaotic systems subject to input saturation and disturbance; stabilization control of continuous-time fractional positive systems based on disturbance observer; sliding mode synchronization control for fractional-order chaotic systems with disturbance; and more.
Based on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional-order nonlinear systems Covers the disturbance estimation techniques that have been developed to alleviate the restriction faced by traditional feedforward control and reject the effect of external disturbances for uncertain fractional-order nonlinear systems By combining the NN with the disturbance observer, the disturbance observer based adaptive neural control schemes have been studied for uncertain fractional-order nonlinear systems with unknown disturbances Considers, together, the issue of input saturation and the disturbance for the control of fractional-order nonlinear systems in the present of system uncertainty, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems,
Beschreibung:Includes bibliographical references and index
Front Matter -- 1 Introduction -- 2 Fractional Calculus and Fractional-Order Systems -- 3 Fractional-Order PID Controller and Fractional-Order Disturbance Observer -- 4 Design of Fractional-Order Controllers for Nonlinear Chaotic Systems and Some Applications -- 5 Sliding-Mode Control for Fractional-Order Nonlinear Systems Based on Disturbance Observer -- 6 Disturbance-Observer-Based Neural Control for Uncertain Fractional-Order Rotational Mechanical System -- 7 Adaptive Neural Tracking Control for Uncertain Fractional-Order Chaotic Systems Subject to Input Saturation and Disturbance -- 8 Stabilization Control of Continuous-Time Fractional Positive Systems Based on Disturbance Observer -- 9 Sliding-Mode Synchronization Control for Fractional-Order Chaotic Systems with Disturbance -- 10 Anti-Synchronization Control for Fractional-Order Nonlinear Systems Using Disturbance Observer and Neural Networks -- 11 Synchronization Control for Fractional-Order Systems Subjected to Input Saturation -- 12 Synchronization Control for Fractional-Order Chaotic Systems with Input Saturation and Disturbance -- Back Matter. - System requirements: Adobe Acrobat Reader. - Mode of access: Internet via World Wide Web
Umfang:1 online resource (252 Seiten) illustrations
ISBN:9781119393313
1119393310