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Robust quadratic optimization of systems with large parameter variations
Author(s) -
Eslami Mansour
Publication year - 1991
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/oca.4660120104
Subject(s) - sensitivity (control systems) , quadratic equation , computer science , mathematical optimization , optimization algorithm , algorithm , robustness (evolution) , robust control , mathematics , control system , engineering , geometry , electronic engineering , biochemistry , chemistry , electrical engineering , gene
Abstract In this paper, two new algorithms to synthesize robust controllers which tolerate large parameter variations in the system are presented. The new analytical procedure that has led to the establishment of these algorithms can be easily used to solve similar perturbational problems when small‐sensitivity measures are used. These algorithms are applied to a numerical example to show the system performance under these design methodologies and to compare the final outcomes of these algorithms.