Hybrid Minimal Control Synthesis identification of continuous piecewise linear systems

M Di Bernardo; U. Montanaro; S. Santini

doi:10.1109/CDC.2009.5400672

Hybrid Minimal Control Synthesis identification of continuous piecewise linear systems

M Di Bernardo, U. Montanaro, S. Santini

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

11 Citations (Scopus)

Abstract

A novel identification strategy is presented in this paper for piecewise linear (PWL) dynamical systems. The strategy is based on the use of the minimal control synthesis adaptive technique for PWL systems presented in. After stating the general identification problem, the convergence of the novel algorithm is proved analytically in the case where the plant is PWL and the reference model is linear. Simulations are carried out on a representative example and are shown to be in perfect agreement with the theoretical derivations.

Translated title of the contribution	Hybrid Minimal Control Synthesis identification of continuous piecewise linear systems
Original language	English
Title of host publication	48th IEEE Conference on Decision and Control
Pages	3188 - 3193
Number of pages	5
DOIs	https://doi.org/10.1109/CDC.2009.5400672
Publication status	Published - Dec 2009

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Name and Venue of Event: Shanghai, China

Research Groups and Themes

Engineering Mathematics Research Group

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10.1109/CDC.2009.5400672

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5400672&tag=1

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title = "Hybrid Minimal Control Synthesis identification of continuous piecewise linear systems",

abstract = "A novel identification strategy is presented in this paper for piecewise linear (PWL) dynamical systems. The strategy is based on the use of the minimal control synthesis adaptive technique for PWL systems presented in. After stating the general identification problem, the convergence of the novel algorithm is proved analytically in the case where the plant is PWL and the reference model is linear. Simulations are carried out on a representative example and are shown to be in perfect agreement with the theoretical derivations.",

author = "\{Di Bernardo\}, M and U. Montanaro and S. Santini",

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year = "2009",

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AU - Montanaro, U.

AU - Santini, S.

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PY - 2009/12

Y1 - 2009/12

N2 - A novel identification strategy is presented in this paper for piecewise linear (PWL) dynamical systems. The strategy is based on the use of the minimal control synthesis adaptive technique for PWL systems presented in. After stating the general identification problem, the convergence of the novel algorithm is proved analytically in the case where the plant is PWL and the reference model is linear. Simulations are carried out on a representative example and are shown to be in perfect agreement with the theoretical derivations.

AB - A novel identification strategy is presented in this paper for piecewise linear (PWL) dynamical systems. The strategy is based on the use of the minimal control synthesis adaptive technique for PWL systems presented in. After stating the general identification problem, the convergence of the novel algorithm is proved analytically in the case where the plant is PWL and the reference model is linear. Simulations are carried out on a representative example and are shown to be in perfect agreement with the theoretical derivations.

U2 - 10.1109/CDC.2009.5400672

DO - 10.1109/CDC.2009.5400672

M3 - Conference Contribution (Conference Proceeding)

SN - 9781424438716

SP - 3188

EP - 3193

BT - 48th IEEE Conference on Decision and Control

ER -

Hybrid Minimal Control Synthesis identification of continuous piecewise linear systems

Abstract

Bibliographical note

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