Optimal Tracking Design for Hybrid Uncertain Input-Delay Systems under State and Control Constraints via Evolutionary Programming Approach

Yu-Pin CHANG

doi:10.1093/ietisy/e88-d.10.2317

Optimal Tracking Design for Hybrid Uncertain Input-Delay Systems under State and Control Constraints via Evolutionary Programming Approach

Yu-Pin CHANG

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A novel digital redesign methodology based on evolutionary programming (EP) is introduced to find the 'best' digital controller for optimal tracking design of hybrid uncertain multi-input/ multi-output (MIMO) input-delay systems with constraints on states and controls. To deal with these multivariable concurrent specifications and system restrictions, instead of conventional interval methods, the proposed global optimization scheme is able to practically implement optimal digital controller for constrained uncertain hybrid systems with input time delay. Further, an illustrative example is included to demonstrate the efficiency of the proposed method.

Publication: IEICE TRANSACTIONS on Information Vol.E88-D No.10 pp.2317-2328

Publication Date: 2005/10/01

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DOI: 10.1093/ietisy/e88-d.10.2317

Type of Manuscript: PAPER

Category: Algorithm Theory

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Yu-Pin CHANG, "Optimal Tracking Design for Hybrid Uncertain Input-Delay Systems under State and Control Constraints via Evolutionary Programming Approach" in IEICE TRANSACTIONS on Information, vol. E88-D, no. 10, pp. 2317-2328, October 2005, doi: 10.1093/ietisy/e88-d.10.2317.
Abstract: A novel digital redesign methodology based on evolutionary programming (EP) is introduced to find the 'best' digital controller for optimal tracking design of hybrid uncertain multi-input/ multi-output (MIMO) input-delay systems with constraints on states and controls. To deal with these multivariable concurrent specifications and system restrictions, instead of conventional interval methods, the proposed global optimization scheme is able to practically implement optimal digital controller for constrained uncertain hybrid systems with input time delay. Further, an illustrative example is included to demonstrate the efficiency of the proposed method.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.10.2317/_p

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@ARTICLE{e88-d_10_2317,
author={Yu-Pin CHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Optimal Tracking Design for Hybrid Uncertain Input-Delay Systems under State and Control Constraints via Evolutionary Programming Approach},
year={2005},
volume={E88-D},
number={10},
pages={2317-2328},
abstract={A novel digital redesign methodology based on evolutionary programming (EP) is introduced to find the 'best' digital controller for optimal tracking design of hybrid uncertain multi-input/ multi-output (MIMO) input-delay systems with constraints on states and controls. To deal with these multivariable concurrent specifications and system restrictions, instead of conventional interval methods, the proposed global optimization scheme is able to practically implement optimal digital controller for constrained uncertain hybrid systems with input time delay. Further, an illustrative example is included to demonstrate the efficiency of the proposed method.},
keywords={},
doi={10.1093/ietisy/e88-d.10.2317},
ISSN={},
month={October},}

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TY - JOUR
TI - Optimal Tracking Design for Hybrid Uncertain Input-Delay Systems under State and Control Constraints via Evolutionary Programming Approach
T2 - IEICE TRANSACTIONS on Information
SP - 2317
EP - 2328
AU - Yu-Pin CHANG
PY - 2005
DO - 10.1093/ietisy/e88-d.10.2317
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2005
AB - A novel digital redesign methodology based on evolutionary programming (EP) is introduced to find the 'best' digital controller for optimal tracking design of hybrid uncertain multi-input/ multi-output (MIMO) input-delay systems with constraints on states and controls. To deal with these multivariable concurrent specifications and system restrictions, instead of conventional interval methods, the proposed global optimization scheme is able to practically implement optimal digital controller for constrained uncertain hybrid systems with input time delay. Further, an illustrative example is included to demonstrate the efficiency of the proposed method.
ER -