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Closed-loop data-driven simulation

Closed-loop data-driven simulation
Closed-loop data-driven simulation
Closed-loop data-driven simulation refers to the problem of finding the set of all responses of a closed-loop system to a given reference signal directly from an input/output trajectory of the plant and a representation of the controller. Conditions under which the problem has a solution are given and an algorithm for computing the solution is presented. The problem formulation and its solution are in the spirit of the deterministic subspace identification algorithms, i.e., in the theoretical analysis of the method, the data is assumed exact (noise free). The results have applications in data-driven control, \eg, testing controller's performance directly from closed-loop data of the plant in feedback with possibly different controller.
System identification, Subspace methods, Persistency of excitation, Data-driven simulation and control.
0020-3270
2134-2139
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c

Markovsky, Ivan (2010) Closed-loop data-driven simulation. International Journal of Control, 83 (10), 2134-2139.

Record type: Article

Abstract

Closed-loop data-driven simulation refers to the problem of finding the set of all responses of a closed-loop system to a given reference signal directly from an input/output trajectory of the plant and a representation of the controller. Conditions under which the problem has a solution are given and an algorithm for computing the solution is presented. The problem formulation and its solution are in the spirit of the deterministic subspace identification algorithms, i.e., in the theoretical analysis of the method, the data is assumed exact (noise free). The results have applications in data-driven control, \eg, testing controller's performance directly from closed-loop data of the plant in feedback with possibly different controller.

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More information

Published date: October 2010
Keywords: System identification, Subspace methods, Persistency of excitation, Data-driven simulation and control.
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 266868
URI: http://eprints.soton.ac.uk/id/eprint/266868
ISSN: 0020-3270
PURE UUID: 8b58bf46-1c79-4091-a539-79cf201eccbe

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Date deposited: 06 Nov 2008 16:02
Last modified: 26 Oct 2023 22:17

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Contributors

Author: Ivan Markovsky

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