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A model reference approach to safe controller changes in iterative identification and control

AUTOMATICA 2006年第2期42卷 193-203页

作者： Lecchini, A Lanzon, A Anderson, BDO Univ Cambridge Dept Engn Cambridge CB2 1PZ England Australian Natl Univ Res Sch Informat Sci & Engn Dept Syst Engn Canberra ACT 0200 Australia Natl ICT Australia Ltd Canberra ACT 2601 Australia

A controller change from a current controller which stabilises the plant to a new controller, designed on the basis of an approximate model of the plant and with guaranteed bounds on the stability properties of the true closed loop, is called a safe controller change. In this paper, we present a model reference approach to the determination of safe controller changes on the basis of approximate closed loop models of the plant and robust stability results in the v-gap. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： iterative identification and control robust control v-gap metric

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Validating controllers for Internal Stability Utilizing Closed-Loop Data

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IEEE TRANSACTIONS ON AUTOMATIC control 2009年第11期54卷 2719-2725页

作者： Dehghani, Arvin Lecchini-Visintini, Andrea Lanzon, Alexander Anderson, Brian D. O. Australian Natl Univ Dept Informat Engn Res Sch Informat Sci & Engn Canberra ACT 0200 Australia Univ Leicester Dept Engn Leicester LE1 7RH Leics England Univ Manchester Control Syst Ctr Sch Elect & Elect Engn Manchester M60 1QD Lancs England Natl ICT Australia Ltd Canberra ACT 2601 Australia

We introduce novel tests utilizing a limited amount of experimental and possibly noisy data obtained with an existing known stabilizing controller connected to an unknown plant for verifying that the introduction of a proposed new controller will stabilize the plant. The tests depend on the assumption that the unknown plant is stabilized by a known controller and that some knowledge of the closed-loop system, such as noisy frequency response data, is available and on the basis of that knowledge, the use of a new controller appears attractive. The desirability of doing this arises in iterative identification and control algorithms, multiple-model adaptive control, and multi-controller adaptive switching. The proposed tests can be used for SISO and/or MIMO linear time-invariant systems.

关键词： iterative identification and control multicontroller adaptive switching multiple model adaptive control robust control

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Practical Novel Tests for Ensuring Safe Adaptive control

Practical Novel Tests for Ensuring Safe Adaptive Control

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47th IEEE Conference on Decision and control

作者： Dehghani, Arvin Anderson, Brain D. O. Kennedy, Rodney A. Australian Natl Univ Res Sch Informat Sci & Engn Dept Informat Engn Canberra ACT 0200 Australia

ISBN: (纸本)9781424431243

In this paper, we further illustrate the versatility and effectiveness of our novel tests for ensuring safe adaptive control in practice. The tests utilize a limited amount of experimental and possibly noisy data obtained from a closed-loop-consisting of an existing known stabilizing controller connected to an unknown plant-to infer if the introduction of a prospective controller will stabilize the unknown plant. The need and importance of this arise in iterative identification and control algorithms, multiple-model adaptive control (MMAC), and multi-controller adaptive switching.

关键词： Adaptive control Multiple Model Adaptive control Robust control iterative identification and control

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Verifying stabilizing controllers via closed-loop noisy data: MIMO case

Verifying stabilizing controllers via closed-loop noisy data...

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46th IEEE Conference on Decision and control

作者： Dehghani, Arvin Anderson, Brian D. O. Lanzon, Alexander Lecchini-Visintini, Andrea Australian Natl Univ Dept Informat Engn Res Sch Informat Sci & Engn GPO Box 4 Canberra ACT 0200 Australia Natl ICT Australia Ltd Canberra ACT 2601 Australia Univ Manchester Control Syst Ctr Sch Elect & Elect Engn Manchester M60 1QD Lancs England Univ Leicester Dept Engn Leicester LE1 7RH Leics England

ISBN: (纸本)9781424414970

This article introduces novel tests which utilize a limited amount of experimental and possibly noisy data obtained from a stable closed-loop system, i.e. an interconnection of an existing known stabilizing controller and an unknown plant, to infer if the introduction of a prospective controller will stabilize the unknown plant. This extends our earlier results to include the MIMO systems.

关键词： multiple model adaptive control robust control iterative identification and control

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Verifying stabilizing controllers via closed-loop noisy data: MIMO case

Verifying stabilizing controllers via closed-loop noisy data...

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Proceedings of the 46th IEEE Conference on Decision and control, Pages 3220-3677

作者： Arvin Dehghani Brian D. O. Anderson Alexander Lanzon Andrea Lecchini-Visintini Department of Information Engineering Research School of Information Sciences and Engineering Australian National University Canberra ACT Australia NICTA ACT Australia Control Systems Centre School of Electrical and Electronic Engineering University of Manchester Institute of Science and Technology Manchester UK Department of Engineering University of Leicester UK

ISBN: (纸本)9781424414970;1424414970

关键词： Multiple Model Adaptive control Robust control iterative identification and control

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