Unsupervised Control Paradigm for Performance Evaluation

Abstract

Intelligent control denotes the capacity to acquire and apply knowledge in control process. The important characteristics of intelligent control systems are information abstraction and knowledge-based decision making. There are different control paradigms available in the literature including Artificial Neural Networks, Fuzzy Logic Systems, Genetic Algorithms, Hybrid Models and others. This paper attempts to design open loop controller using Self Organizing Map and studies its nature and accuracy with an example.