標題: OSA: Orthogonal simulated annealing algorithm and its application to designing mixed H-2/H-infinity optimal controllers
作者: Ho, SJ
Ho, SY
Shu, LS
生物科技學系
生物資訊及系統生物研究所
Department of Biological Science and Technology
Institude of Bioinformatics and Systems Biology
關鍵字: genetic algorithm (GA);H-2/H-infinity optimal control;orthogonal experimental design (OED);simulated annealing (SA)
公開日期: 1-九月-2004
摘要: This paper proposes a novel orthogonal simulated annealing (OSA) algorithm for solving intractable large-scale engineering problems and its application to designing mixed H-2/H-infinity optimal structure-specified controllers with robust stability and disturbance attenuation. High performance of OSA arises mainly from an intelligent generation mechanism (IGM), which applies orthogonal experimental design to speed up the search. IGM can efficiently generate a good candidate solution for next move of OSA by using a systematic reasoning method. It is difficult for existing H-infinity- and genetic algorithm (GA)-based methods to economically obtain an accurate solution to the design problem of multiple-input, multiple-output (MIMO) optimal control systems. The high performance and validity of OSA are demonstrated by parametric optimization functions and a MIMO super maneuverable F18/HARV fighter aircraft system with a proportional-integral-derivative (PID)-type controller. It is shown empirically that OSA performs well for parametric optimization functions and the performance of the OSA-based method without prior domain knowledge is superior to those of existing H-infinity- and GA-based methods for designing MIMO optimal controllers.
URI: http://dx.doi.org/10.1109/TSMCA.2004.832834
http://hdl.handle.net/11536/26406
ISSN: 1083-4427
DOI: 10.1109/TSMCA.2004.832834
期刊: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
Volume: 34
Issue: 5
起始頁: 588
結束頁: 600
顯示於類別:期刊論文


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  1. 000223481600002.pdf