Title :
Warm start of the primal-dual interior point method for process monitoring
Author :
Chen, Changan ; Kantor, Jeffrey C.
Author_Institution :
Dept. of Chem. Eng., Notre Dame Univ., IN, USA
Abstract :
In this work, a data-based fault detection is formulated as a constrained optimization problem. It is then converted to a linear programming problem by using l1 and l∞ norm. To efficiently solve this LP, we propose the use of primal-dual infeasible-interior-point method with a warm start approach for closely related subsequent problem. With a SISO example and a MIMO example, we investigated the computation efficiency and fault detection performance of the data-based detector
Keywords :
computational complexity; constraint theory; duality (mathematics); fault diagnosis; identification; linear programming; monitoring; LP; MIMO example; SISO example; computation efficiency; constrained optimization problem; data-based fault detection; fault detection performance; l∞ norm; l1 norm; linear programming; primal-dual infeasible-interior-point method; primal-dual interior point method; process monitoring; warm start; Analytical models; Chemical engineering; Equations; Fault detection; Integrated circuit modeling; Large-scale systems; Linear programming; Monitoring; Q measurement; Redundancy;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.611999
