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Design and application of multivariable robust optimal systems
Author(s) -
Lin ChihMin,
Ying ChenLing
Publication year - 1998
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/(sici)1099-1514(199801/02)19:1<23::aid-oca617>3.0.co;2-x
Subject(s) - multivariable calculus , quantitative feedback theory , weighting , control theory (sociology) , robustness (evolution) , robust control , frequency domain , optimal control , optimal design , computer science , mathematical optimization , mathematics , control system , control engineering , control (management) , engineering , medicine , biochemistry , chemistry , electrical engineering , artificial intelligence , machine learning , gene , computer vision , radiology
In this paper, a design algorithm for quantitative robust optimal control of uncertain multivariable feedback systems is developed. By use of the frequency‐domain approach, the two‐degree‐of‐freedom Wiener–Hopf optimal control method and the quantitative feedback theory are employed to derive the linear quadratic optimal system design with quantitative performance robustness. Two frequency‐dependent weighting matrices are shaped and two‐degree‐of‐freedom compensators are designed to achieve quantitative robust optimal control. The proposed design algorithm is then applied to an AFTI/F‐16 flight control system design to illustrate the design algorithm. © 1998 John Wiley & Sons, Ltd.