Title :
Rule-base guided adaptation for mode detection in process control
Author_Institution :
Ford Motor Co., Detroit, MI, USA
Abstract :
The paper deals with the problem of control of systems with multiple operating modes. We expand the concept of rule-based guided adaptation to the case of dynamic systems. An algorithm that dynamically summarizes the models, which successfully approximate plant dynamics, is developed. A dynamic model bank that is used to guide and re-initialize the adaptive control is proposed
Keywords :
adaptive control; intelligent control; process control; adaptive control; dynamic model bank; dynamic systems; mode detection; multiple operating modes; plant dynamics; process control; rule-base guided adaptation; rule-based guided adaptation; Adaptive algorithm; Adaptive control; Control systems; Heuristic algorithms; Industrial control; Intelligent control; Job shop scheduling; Process control; Production; Stability;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944753
