An Approach to Centralized Control Systems Based on Cellular Automata
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Computational Intelligence (CI) embraces techniques that use Fractals and Chaos Theory, Artificial immune systems, Wavelets, etc. CI combines elements of learning, adaptation and evolution to create programs that are, in some sense, intelligent. Cellular Automata is an element of Fractals and Chaos Theory that is adaptive and evolutionary, so we are interested in using this approach for solving problems of centralized control. The main objective of the paper is to present the cellular automata as a model of centralized control of dynamic systems. Any dynamic system is subjected to conditions of internal and external behavior that modify its operation and control. This implies that the system can be observable and controllable. The authors take on the task of analysis of an example control traffic system. For the approach, is proposed a one-dimensional cellular automaton in an open-loop scheme.
KeywordsCellular Automaton Computational Intelligence Artificial Immune System Chaos Theory External Behavior
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