Nature-Inspired Computing for Control Systems

Buch | Hardcover
XII, 289 Seiten
2015 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-26228-4 (ISBN)

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Nature-Inspired Computing for Control Systems -
106,99 inkl. MwSt
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.

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

Erscheinungsdatum
Reihe/Serie Studies in Systems, Decision and Control
Zusatzinfo XII, 289 p. 179 illus., 62 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte Adaptive Control Systems • artificial intelligence (incl. robotics) • Biologically-Inspired Control • Computational Intelligence • Control • Controlling Quadrotors • Engineering • 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 3-319-26228-9 / 3319262289
ISBN-13 978-3-319-26228-4 / 9783319262284
Zustand Neuware
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