Title :
Market-based algorithms for optimal decentralized control of complex dynamic systems
Author_Institution :
Dept. of Electr. Eng., Kaiserslautern Univ., Germany
fDate :
6/21/1905 12:00:00 AM
Abstract :
Since complex dynamic systems can be characterized by an interconnection of many subsystems, possible control strategies call for a decentralized solution. In this approach, each subsystem is associated with an agent that tries to optimize its control action in a selfish manner. Selfish decentralized optimization is also performed in human economies, where markets are used for resource sharing. Therefore, this work considers the application of market-based algorithms to solve the optimal decentralized control problem
Keywords :
decentralised control; discrete time systems; interconnected systems; linear systems; optimal control; optimisation; transfer functions; complex dynamic systems; decentralized control; discrete time systems; interconnected systems; linear systems; market-based algorithms; optimal control; resource sharing; selfish optimization; transfer function; Automatic control; Automation; Communication system control; Control systems; Distributed control; Humans; Input variables; Integrated circuit modeling; Optimal control; Pareto optimization;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.827779
