01423nam a2200193Ia 4500 CTU_133628 210402s9999 xx 000 0 und d 1166000 629.8 R629 Robust control systems with genetic algorithms Mo Jamshidi ... [et al.]. Boca Raton, Fla. CRC Press 2003 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 algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. robust control.,Điều khiển tự động Năm Trung tâm Học liệu Trường Đại học Cần Thơ