DocumentCode :
343227
Title :
Low-order controller design for model matching optimization using coprime factors and LMI
Author :
Wang, Shaopeng ; Chow, Joe H. ; Minto, K. Dean ; Rajamani, Ravi
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
1871
Abstract :
Develops an algorithm to design low-order controllers for solving the model-matching problem of multi-input, multi-output (MIMO) systems. It extends a method proposed previously for single-input, single-output (SISO) systems. The design method requires only the solution of a convex optimization problem. The technique integrates several well-known results in control theory. An important step is the use of coprime factors so that based on strictly positive real (SPR) functions, feedback stabilization using MIMO low-order controllers becomes testing the feasibility of a convex programming problem. An LV100 engine model matching design is used to demonstrate the algorithm
Keywords :
MIMO systems; control system synthesis; feedback; matrix algebra; optimisation; stability; state-space methods; LMI; LV100 engine model matching design; convex optimization problem; coprime factors; feedback stabilization; low-order controller design; model matching optimization; strictly positive real functions; Algorithm design and analysis; Control systems; Design engineering; Design methodology; Design optimization; Engines; Iterative algorithms; Linear matrix inequalities; MIMO; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
ISSN :
0743-1619
Print_ISBN :
0-7803-4990-3
Type :
conf
DOI :
10.1109/ACC.1999.786174
Filename :
786174
Link To Document :
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