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|a Chen, Mou,
|e author.
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|a Robust adaptive control for fractional-order systems with disturbance and saturation /
|c Mou Chen, Shuyi Shao, Peng Shi.
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264 |
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|a Hoboken, NJ :
|b John Wiley & Sons Ltd,
|c 2018.
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264 |
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|c ©2018
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300 |
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|a 1 online resource
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|a text
|b txt
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|a online resource
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|a Includes bibliographical references and index.
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|a Title Page -- Copyright -- Dedication -- Table of Contents -- Preface -- Series Preface -- Symbols and Acronyms -- Chapter 1: Introduction -- Chapter 2: Fractional Calculus and Fractional-Order Systems -- 2.1 Fractional Calculus -- 2.2 Some Typical Fractional-Order Systems -- 2.3 Conclusion -- Chapter 3: Fractional-Order PID Controller and Fractional-Order Disturbance Observer -- 3.1 Problem Statement -- 3.2 Fractional-Order PID Controller -- 3.3 Frequency-Domain Fractional-Order Disturbance Observer -- 3.4 Conclusion
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|a Chapter 4: Design of Fractional-Order Controllers for Nonlinear Chaotic Systems and Some Applications4.1 Fractional-Order Control for a Novel Chaotic System Without Equilibrium -- 4.2 Application of Chaotic System without Equilibrium in Image Encryption -- 4.3 Synchronization Control for Fractional-Order Nonlinear Chaotic Systems -- 4.4 Conclusion -- Chapter 5: Sliding-Mode Control for Fractional-Order Nonlinear Systems Based on Disturbance Observer -- 5.1 Problem Statement -- 5.2 Adaptive Control Design Based on Fractional-Order Sliding-Mode Disturbance Observer
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|a 5.3 Simulation Examples5.4 Conclusion -- Chapter 6: Disturbance-Observer-Based Neural Control for Uncertain Fractional-Order Rotational Mechanical System -- 6.1 Problem Statement -- 6.2 Adaptive Neural Control Design -- 6.3 Simulation Example -- 6.4 Conclusion -- Chapter 7: Adaptive Neural Tracking Control for Uncertain Fractional-Order Chaotic Systems Subject to Input Saturation and Disturbance -- 7.1 Problem Statement -- 7.2 Adaptive Neural Control Design Based on Fractional-Order Disturbance Observer -- 7.3 Simulation Examples -- 7.4 Conclusion
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|a Chapter 8: Stabilization Control of Continuous-Time Fractional Positive Systems Based on Disturbance Observer8.1 Problem Statement -- 8.2 Main Results -- 8.3 Conclusion -- Chapter 9: Sliding-Mode Synchronization Control for Fractional-Order Chaotic Systems with Disturbance -- 9.1 Problem Statement -- 9.2 Design of Fractional-Order Disturbance Observer -- 9.3 Disturbance-Observer-Based Synchronization Control of Fractional-Order Chaotic Systems -- 9.4 Simulation Examples -- 9.5 Conclusion
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|a Chapter 10: Anti-Synchronization Control for Fractional-Order Nonlinear Systems Using Disturbance Observer and Neural Networks10.1 Problem Statement -- 10.2 Design of Disturbance Observer -- 10.3 Anti-Synchronization Control of Fractional-Order Nonlinear Systems -- 10.4 Simulation Examples -- 10.5 Conclusion -- Chapter 11: Synchronization Control for Fractional-Order Systems Subjected to Input Saturation -- 11.1 Problem Statement -- 11.2 Synchronization Control Design of Fractional-Order Systems with Input Saturation -- 11.3 Simulation Examples -- 11.4 Conclusion
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|a Online resource; title from digital title page (viewed on November 30, 2017).
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|a 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, with Disturbance and Saturation can be used as a reference for the academic research on fractional-order nonlinear systems or used in Ph.D. study of control theory and engineering.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Adaptive control systems.
|
650 |
|
6 |
|a Systèmes adaptatifs.
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650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Engineering (General)
|2 bisacsh
|
650 |
|
7 |
|a Adaptive control systems.
|2 fast
|0 (OCoLC)fst00796490
|
700 |
1 |
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|a Shao, Shuyi,
|e author.
|
700 |
1 |
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|a Shi, Peng,
|d 1958-
|e author.
|
776 |
0 |
8 |
|i Print version:
|a Chen, Mou,1958-
|t Robust adaptive control for fractional-order systems with disturbance and saturation.
|d Hoboken, NJ : John Wiley & Sons, 2017
|z 9781119393276
|w (DLC) 2017027175
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856 |
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|z Texto completo (Requiere registro previo con correo institucional)
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938 |
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