Title :
Multiscale models and controllers
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
Presents results in the area of simulation, design, and control of complex systems using a new approach which unifies modeling, prediction, and optimization capabilities for decision making, planning, and real time operation. The system for control and simulation employs multiscale knowledge representation with multiresolutional nesting as a major principle of knowledge organization, programming, and assignment of computational and control procedures. This novel principle is applicable for intelligent systems
Keywords :
computational complexity; control engineering computing; digital simulation; intelligent control; knowledge based systems; knowledge representation; large-scale systems; complex systems; controllers; decision making; design; intelligent systems; knowledge organization; modeling; multiresolutional nesting; multiscale knowledge representation; multiscale models; optimization capabilities; planning; prediction; real time operation; simulation; Computational modeling; Control system synthesis; Control systems; Decision making; Input variables; Intelligent systems; Motion control; Open loop systems; Predictive models; Shape control;
Conference_Titel :
Computer-Aided Control System Design, 1994. Proceedings., IEEE/IFAC Joint Symposium on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-1800-5
DOI :
10.1109/CACSD.1994.288953
