Title :
Computational experiments in robust stability analysis
Author :
Yoon, Albert ; Khargonekar, Pramod
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
We take a “computational experiments” approach to robust stability analysis problems. Many robust control problems have been shown to be NP hard but in spite of this, it is important to develop effective techniques for solving them. A typical robust stability analysis problem is taken and formulated as an optimization problem to which several optimization algorithms are applied
Keywords :
computational complexity; control system analysis computing; feedback; optimisation; randomised algorithms; robust control; search problems; uncertain systems; NP hard problems; computational experiments; optimization problem; robust stability analysis; Algorithm design and analysis; Computational complexity; Computer science; Control systems; Optimization methods; Performance analysis; Robust control; Robust stability; Stability analysis; Uncertainty;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.652347
