1st Edition

Robust Control Systems with Genetic Algorithms

232 Pages
by CRC Press

228 Pages 121 B/W Illustrations
by CRC Press

232 Pages
by CRC Press

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic... Read more
Genetic Algorithms. Optimal Robust Control.
Methods for Controller Design Using Genetic
Algorithms. Predictive and Structure Variable Control.
Design Methods and Results. Tuning Fuzzy Logic
Controllers for Robust Control Design. GA-Fuzzy
Hierarchical Control Design Approach. Autonomous Robot
Navigation through Fuzzy-Genetic Programming. Robust
Control Systems Design: A Hybrid
H-Infinity/Multi-Objective Optimization Approach.
Appendices.

Biography

Jamshidi, Mo; Krohling, Renato A.; dos S. Coelho, Leandro; Fleming, Peter J.