Institute of Information Theory and Automation

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Bibliography

Conference Paper (international conference)

MPC for a Class of Nonlinear Systems with Guaranteed Identifiability

Žáčeková E., Pčolka M., Šebek M., Čelikovský Sergej

: Proceedings of the 2015 IEEE Conference on Control Applications (CCA), p. 163-168

: IEEE Conference on Control Applications 2015 (CCA 2015), (Sydney, AU, 21.09.2015-23.09.2015)

: model predictive control, identification

: 10.1109/CCA.2015.7320627

(eng): This paper addresses the problem of model predictive control for a class of nonlinear systems which satisfies persistent excitation condition. The conditions under which a nonlinear system description can be handled are specified and two algorithms (one optimizing the first input sample and the other considering optimization of an M-sample subsequence of the input profile) solving the persistent excitation condition within a predictive controller for nonlinear systems are developed, both maximizing the smallest eigenvalue of the information matrix increase. The numerical experiments performed on a test-bed system demonstrate that the algorithms are able to successfully improve identifiability of a nonlinear system description while keeping the original controller performance degradation lower than arbitrarily chosen level

: BC

2019-01-07 08:39