Abstract
The problem of adaptive control of linear discrete-time systems with actuator saturation and unknown parameters is investigated. A novel optimal control method is presented first for linear systems with known parameters and constant actuator saturation by introducing a Lyapunov function and a performance cost function that are both dependent on a contraction rate parameter. Based on the obtained guaranteed contraction-rate control method, an adaptive control algorithm is derived for systems containing unknown system parameters and time-varying actuator saturation. To show that the closed-loop system is stable and that the adaptive control algorithm is convergent, the Lyapunov function is supplemented by an additional part defined by the trace of a quadratic function of the controller gain. The effectiveness and potential of the presented method is demonstrated by a numerical example.
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Acknowledgements
This work was supported by National Natural Science Foundation of China under grant number 60974013, Fok Ying Tong Education Foundation under grant 111066 and partially supported by a Grand from the Research Grant Council of Hong Kong under the project 417207.
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Guo, G., Yue, W. Adaptive Control with Guaranteed Contraction Rate for Systems with Actuator Saturation. Circuits Syst Signal Process 31, 1559–1576 (2012). https://doi.org/10.1007/s00034-011-9386-6
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DOI: https://doi.org/10.1007/s00034-011-9386-6