Abstract
The control of complex dynamic systems is one of the major tasks of modern control theory. The high dimensionality of complex systems often requires decentralized control concepts. In computer science, multiagent systems are proposed for use in distributed intelligent applications. To solve the common task, the single agents have to communicate and to interact in a suitable way. In the case of a resource allocation problem, so called market-based control algorithms can be used. Such algorithms imitate the behavior of human economies. Since most research in market-based control is done in the field of communication and computer networks, this work examines the application for the control of complex dynamic systems.
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