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Item Details
Title:
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ROBUST ADAPTIVE CONTROL FOR FRACTIONAL-ORDER SYSTEMS WITH DISTURBANCE AND SATURATION
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By: |
Mou Chen, Shuyi Shao, Peng Shi |
Format: |
Electronic book text |
List price:
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£100.20 |
We currently do not stock this item, please contact the publisher directly for
further information.
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ISBN 10: |
1119393310 |
ISBN 13: |
9781119393313 |
Publisher: |
JOHN WILEY & SONS INC |
Pub. date: |
21 November, 2017 |
Series: |
Wiley-ASME Press Series |
Pages: |
256 |
Synopsis: |
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 synchronisation control of fractional-order nonlinear systems with system uncertainties, external disturbance and input saturation. A practical system is often subjected to external unknown disturbances. The disturbance may lead to oscillations and even increase instability of systems. In the field of traditional control, it is well-known that feedforward control provides an effective disturbance compensation method that can achieve prompt disturbance attenuation. However, the disturbance has to be measured by sensors for the implementation of traditional feedforward control. Unfortunately, the disturbances are usually difficult or even impossible to be measured physically by sensors. Since disturbance observers can estimate external disturbances by the known information of the controlled plants and the output of disturbance observers can be used to design the control law. As a result, the disturbance rejection is guaranteed to improve the performance and robustness of the closed-loop system. Therefore, developing disturbance estimation techniques could alleviate the restriction faced by traditional feedforward control and reject the effect of external disturbances. Although some texts have been noticed for control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered together. |
Publication: |
US |
Imprint: |
Standards Information Network |
Returns: |
Non-returnable |
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