Optimization-oriented Synthesis of Rule Bases of Intelligent Systems: Application Features for Complex Plants' Control

Abstract

This chapter addresses the issue of research on an advanced method of optimization-oriented synthesis of rule bases (RBs) of intelligent systems, namely systems based on fuzzy logic. This method allows the creation of fuzzy systems with an optimal set of consequents and a reduced number of rules in RBs in terms of incomplete source information due to highly efficient sequential search procedures of structural-parametric optimization. The effectiveness studies of the considered method were carried out for two different intelligent control systems for such complex technical plants as a mobile robotic platform and a floating dock. The research results obtained validate the effectiveness of the presented advanced method of optimizationoriented synthesis, considering both the performance and the computational costs incurred, as well as the feasibility of its use for creating diverse intelligent systems.