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Low-order controller design for model matching optimization using coprime factors and LMI

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4 Author(s)
Wang, S. ; Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA ; Chow, J.H. ; Minto, K.D. ; Rajamani, R.

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

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:3 )

Date of Conference:

1999