Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions

Authors:
Juliusz Zajaczkowski;Brijesh Verma
Affiliations:
School of Computing Sciences, Faculty of Business and Informatics, Central Queensland University, Rockhampton, Australia QLD 4702;School of Computing Sciences, Faculty of Business and Informatics, Central Queensland University, Rockhampton, Australia QLD 4702
Venue:
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Year:
2008

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Abstract

We examine hierarchical fuzzy control of the inverted pendulum over the set of initial conditions. A new compositional method for the inverted pendulum system is introduced. Three layered hierarchical fuzzy logic topology is used to create a fuzzy rule base for the control system. Fuzzy rules are learnt by evolutionary algorithm designed for the compositional method.