Title :
Control-relevant experiment design: a plant-friendly, LMI-based approach
Author :
Cooley, Brian L. ; Lee, Jay H. ; Boyd, Stephen P.
Author_Institution :
Dept. of Chem. Eng., Auburn Univ., AL, USA
Abstract :
The non-convex control-relevant experiment design developed in earlier works is transformed to a semidefinite program with linear matrix inequality constraint. As a result, the computational burden is greatly reduced. An example is presented to demonstrate that the reduced computation time may be obtained without the cost of degraded performance
Keywords :
closed loop systems; design of experiments; identification; mathematical programming; matrix algebra; performance index; probability; computation time; computational burden; control-relevant experiment design; linear matrix inequality constraint; plant-friendly LMI-based approach; semidefinite program; Chemical engineering; Costs; Degradation; Linear matrix inequalities; Manufacturing; Performance analysis; System identification; System testing; Taylor series; Temperature control;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703612
