Titlebook: Nature-Inspired Computing for Control Systems; Hiram Eredín Ponce Espinosa Book 2016 Springer International Publishing Switzerland 2016 Bi

獨(dú)特性

Book 2016es advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.

HUMID

2198-4182 rent methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.978-3-319-79910-0978-3-319-26230-7Series ISSN 2198-4182 Series E-ISSN 2198-4190

邊緣帶來墨水

凹槽

Abdesselem Boulkroune,Salim Issaouni,Hachemi Chekireb ..

SPURN

The Power of Natural Inspiration in Control Systems,iew, and summarizes key contributions of this book that focuses on methods that can simulate natural phenomena using computers, and the benefits of applying this methodology to the analysis and design of engineering control systems.

saturated-fat

Adaptive Neuro-Fuzzy Controller of Induction Machine Drive with Nonlinear Friction motors drives with both unified nonlinear frictions and (structured and unstructured) uncertainties. In fact, this present work can be seen as a non- trivial extension of the previous works. Simulation results are provided to demonstrate the effectiveness of the proposed control approach.

ORBIT

貿(mào)易

2198-4182 n to traditional techniques, with a special emphasis to contThe book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose

Morose

Mobile Robot with Movement Detection Controlled by a Real-Time Optical Flow Hermite Transforms are close to the robot. Experimental results showed the controller to be fast enough for real-time applications, be robust to different background textures and colors, and its performance does not depend on inner parameters of the robotic system.

Hallmark

Designing Fuzzy Controller for a Class of MIMO Nonlinear Systems Using Hybrid Elite Genetic Algorithing HEGATS by minimizing the mean square error. The proposed algorithm is tested for control of a helicopter model simulator and a double inverted pendulum. Simulation results proved the effectiveness of the proposed algorithm.