【摘 要】
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In this paper,controller performance assessment is considered for a class of switched linear systems.The tensor-based method is proposed for the controller performance assessment for this systems evol
【机 构】
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Department of Automation,Shanghai Jiao Tong University,Shanghai,200240,China
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In this paper,controller performance assessment is considered for a class of switched linear systems.The tensor-based method is proposed for the controller performance assessment for this systems evolution with average dwell time switching dynamics and local models for continuous dynamics.We define a measurement tensor to construct the measured process outputs data,and employ the data processing technique of a higher-order singular value decomposition.Applying the Higher-order singular value decomposition,we can obtain the sets of singular values from the measurement tensor,which are used jointly to evaluate the controller performance of the overall switched dynamical systems significantly.Then,we develop the covariance tensor-based performance assessment method for switched control systems with characteristic information being mined from the measurement tensor and derive the calculation approach base on the sets of singular values from the measurement tensor.The proposed method is shown that by a higher-order singular value decomposition for measurement outputs tensor data,the performance assessment results can exactly reflect the controller performance for the overall dynamical process.Finally,a case study of the simulation example well demonstrates the effectiveness of the proposed method.
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