Cheatham, John B., Jr.2009-06-032009-06-031995Wang, Lui. "Genetic algorithm tuning of a fuzzy logic controller for a dynamic system." (1995) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/14004">https://hdl.handle.net/1911/14004</a>.https://hdl.handle.net/1911/14004This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy logic based controller. The basic mechanics of both the fuzzy logic control system and the genetic algorithm are presented for establishing the foundation of this research. A detailed design process to integrate the fuzzy logic controller and the genetic algorithm is disclosed. Software is developed to simulate the dynamics of a two-link planar manipulator, and a multiple-link fuzzy logic control (MLFLC) system is developed to control a non-linear robotics system. In this work, the genetic algorithm technique is used to design both the Universe of Discourse of some of the control variables and also the shape and location of membership functions. As a result, the system is able to maintain control with moderate errors. The most important contribution of this work is that it demonstrates the effectiveness of using genetic algorithms to optimize fuzzy logic control systems.153 p.application/pdfengCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.Mechanical engineeringElectronicsElectrical engineeringAerospace engineeringArtificial intelligenceThesisTHESIS M.E. 1995 WANG