Competitive Decentralized Autonomous Neural Net Controllers
A simple and effective method is proposed for controlling a system consists of small processes. Each process is controlled by a decentralized autonomous neural network controller. These controllers compete with each other in order to increase their performances. As a result of the competition, the performance of whole system is kept at a suboptimal level. A control of example system consist of lots of processes is performed.
KeywordsPerformance Index Control Result Preference Factor Small Process Model Reference Adaptive Control
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