Nature-Inspired Computing for Control Systems
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Offers a comprehensive review of nature-inspired methods and applications Describes the advantages of nature-inspired computing in comparison to traditional techniques, with a special emphasis to control engineering applications Reports on cutting-edge research in control systems Includes supplementary material: sn.pub/extras
Autor*in
Hiram Eredín Ponce Espinosa
Themen in »Nature-Inspired Computing for Control Systems«
Biologically-Inspired Control Meta-Heuristic Optimization Adaptive Control Systems Neuro-Fuzzy Controllers Controlling Quadrotors Spiking Neural Networks Grey Wolf Optimizer (GWO) Robotic Swarm Control Nonlinear PID Controller MIMO Nonlinear Systems Multi-Layer Perceptron Neural Networks Optical Flow Models