MATLAB BASED SIMULATION OF INTELLIGENT CONTROL SYSTEMS

Michail Petrov

   Intelligent control is a most promising research area in modern system theory and design which offers large capabilities concerning complex system modelling, prediction, control, and performance. Fuzzy logic as a part of intelligent control provides a powerful tool to capture the uncertainties associated with human cognitive processes. Neural networks, on the other hand, offer great advantages in learning, adaptation, fault tolerance, parallelism and generalization. In the recent years great efforts have been made toward integrating these two techniques into control systems and many applications have already been reported. In this work some investigations are presented in applications of intelligent control systems. Several simulation examples are developed in Matlab environment for teaching process. Description and structure of fuzzy logic controllers and fuzzy control systems are given together with architecture of neural networks and applications of neural networks as a fuzzy - neural controller; a learning algorithm has been described as well.

Keywords: fuzzy control, neural network, fuzzy hybrid system

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