Robust adaptive control for dynamic systems with mixed uncertainties

The control problem for single-input single-output(SISO) systems in the presence of mixed uncertainties, both stochastic and deterministic uncertainties, is considered. The stochastic uncertainties are modeled as exogenous noises, while the deterministic uncertainties are time invariant and appear a...

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Veröffentlicht in:Journal of systems engineering and electronics 2016-06, Vol.27 (3), p.656-663
Hauptverfasser: Huang, Jiaoru, Qian, Fucai, Xie, Guo, Yang, Hengzhan
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container_title Journal of systems engineering and electronics
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creator Huang, Jiaoru
Qian, Fucai
Xie, Guo
Yang, Hengzhan
description The control problem for single-input single-output(SISO) systems in the presence of mixed uncertainties, both stochastic and deterministic uncertainties, is considered. The stochastic uncertainties are modeled as exogenous noises, while the deterministic uncertainties are time invariant and appear as the unknown parameters which lie in a bounded interval. Based on a subdivision for the continuous interval, a robust adaptive controller is designed. The controller can not only realize the system output to track the desired output, but also learn a more accurate interval which contains the true value of the unknown parameter with a learning error given in advance. An example is given finally to demonstrate the effectiveness of the proposed method.
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source IEEE Power & Energy Library; EZB-FREE-00999 freely available EZB journals
subjects Controllers
Dynamical systems
Intervals
Mathematical models
Parameters
Robust control
Stochasticity
Uncertainty
不确定性系统
学习误差
控制问题
时间间隔
有界区间
混合不确定性
随机不确定性
鲁棒自适应控制器
title Robust adaptive control for dynamic systems with mixed uncertainties
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