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Control and Navigation with Knowledge Bases

Authors: Miloš Šeda, Tomáš Březina


In this paper, we focus on the use of knowledge bases in two different application areas – control of systems with unknown or strongly nonlinear models (i.e. hardly controllable by the classical methods), and robot motion planning in eight directions. The first one deals with fuzzy logic and the paper presents approaches for setting and aggregating the rules of a knowledge base. Te second one is concentrated on a case-based reasoning strategy for finding the path in a planar scene with obstacles.

Keywords: Neural Network, Genetic Algorithm, Inference, fuzzy controller, defuzzification, rule base, fuzzification, case-based reasoning

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