Nature-Inspired Computing for Control Systems (eBook)

Hiram Eredín Ponce Espinosa (Herausgeber)

eBook Download: PDF

2015 | 1st ed. 2016
XII, 289 Seiten
Springer International Publishing (Verlag)
978-3-319-26230-7 (ISBN)

Infos

The 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 of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides 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.

Inhalt

Part I. General Control Approaches.- Control Tuning and Adaptive Control Systems.- Robotics Applications.

Produkt-Details

• Erscheint lt. Verlag: 16.12.2015
• Reihe/Serie: Studies in Systems, Decision and Control
• Reihe/Serie: Studies in Systems, Decision and Control
• Zusatzinfo: XII, 289 p. 179 illus., 62 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik
• Schlagworte: Adaptive Control Systems • Biologically-Inspired Control • Controlling Quadrotors • Grey Wolf Optimizer (GWO) • meta-heuristic optimization • MIMO Nonlinear Systems • Multi-Layer Perceptron Neural Networks • Neuro-Fuzzy Controllers • Nonlinear PID Controller • Optical Flow Models • Robotic Swarm Control • spiking neural networks
• ISBN-10: 3-319-26230-0 / 3319262300
• ISBN-13: 978-3-319-26230-7 / 9783319262307