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An algorithm for closed-loop data-driven simulation

An algorithm for closed-loop data-driven simulation
An algorithm for closed-loop data-driven simulation
Closed-loop data-driven simulation refers to the problem of constructing trajectories of a closed-loop system directly from data 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 identification algorithms, i.e., in the theoretical analysis of the method, the data is assumed exact (noise free).
Simulation, system identification, behaviors.
114-115
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c

Markovsky, Ivan (2009) An algorithm for closed-loop data-driven simulation. Proc. of the 15th IFAC Symposium on System Identification, Saint-Malo, France. 06 - 08 Jul 2009. pp. 114-115 . (Submitted)

Record type: Conference or Workshop Item (Paper)

Abstract

Closed-loop data-driven simulation refers to the problem of constructing trajectories of a closed-loop system directly from data 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 identification algorithms, i.e., in the theoretical analysis of the method, the data is assumed exact (noise free).

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More information

Submitted date: July 2009
Additional Information: Event Dates: 6--8 July 2009
Venue - Dates: Proc. of the 15th IFAC Symposium on System Identification, Saint-Malo, France, 2009-07-06 - 2009-07-08
Keywords: Simulation, system identification, behaviors.
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 266869
URI: http://eprints.soton.ac.uk/id/eprint/266869
PURE UUID: 03a88fb1-7027-4ee9-a756-252102ab9b77

Catalogue record

Date deposited: 06 Nov 2008 16:09
Last modified: 14 Mar 2024 08:37

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Contributors

Author: Ivan Markovsky

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