Prepares readers for the design of robust controllers using genetic algorithms, a biologically-inspired approach to control systems designPresents innovative applications in robotics and jet engines, showing readers how to create new methods for real-time applicationsDiscusses advanced paradigms in control design, including predictive and variable structure control and multi-objective optimizationsIncludes an outstanding introduction to fuzzy systems This book demonstrates powerful methods for controller design using genetic algorithms and genetic programming. It offers readers new tools for the design of robust control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also shows how to augment genetic algorithms and programming with fuzzy logic to design intelligent hybrid control systems. The author explores applications to robotics, and a multi-objective, genetic algorithm approach to the design of robust controllers is illustrated by a gasification plant case study.