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Nature-Inspired Computing for Control Systems 1st ed. 2016 [Kõva köide]

  • Formaat: Hardback, 289 pages, kõrgus x laius: 235x155 mm, kaal: 5797 g, 62 Illustrations, color; 117 Illustrations, black and white; XII, 289 p. 179 illus., 62 illus. in color., 1 Hardback
  • Sari: Studies in Systems, Decision and Control 40
  • Ilmumisaeg: 23-Dec-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319262289
  • ISBN-13: 9783319262284
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  • Kõva köide
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  • Formaat: Hardback, 289 pages, kõrgus x laius: 235x155 mm, kaal: 5797 g, 62 Illustrations, color; 117 Illustrations, black and white; XII, 289 p. 179 illus., 62 illus. in color., 1 Hardback
  • Sari: Studies in Systems, Decision and Control 40
  • Ilmumisaeg: 23-Dec-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319262289
  • ISBN-13: 9783319262284
Teised raamatud teemal:
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 Power of Natural Inspiration in Control Systems 1(12)
Hiram Eredin Ponce Espinosa
Jose Roberto Ayala-Solares
Part I General Control Approaches
Bioinspired Control Method Based on Spiking Neural Networks and SMA Actuator Wires for LASER Spot Tracking
13(26)
Mircea Hulea
The Spread of Innovatory Nature Originated Metaheuristics in Robot Swarm Control for Smart Living Environments
39(34)
Bo Xing
Part II Control Tuning and Adaptive Control Systems
Evolutionary Modeling of Industrial Plants and Design of PID Controllers
73(48)
Monica Patrascu
Andreea Ion
Designing Fuzzy Controller for a Class of MIMO Nonlinear Systems Using Hybrid Elite Genetic Algorithm and Tabu Search
121(24)
Nesrine Talbi
Khaled Belarbi
Neural Network Fitting for Input-Output Manifolds in Constrained Linear Systems
145(24)
Jose M. Araujo
Carlos E.T. Dorea
Adaptive Neuro-Fuzzy Controller of Induction Machine Drive with Nonlinear Friction
169(26)
Abdesselem Boulkroune
Salim Issaouni
Hachemi Chekireb
Part III Robotics Applications
Fuzzy Logic Sugeno Controller Type-2 For Quadrotors Based on Anfls
195(36)
Pedro Ponce
Arturo Molina
Israel Cayetano
Jose Gallardo
Hugo Salcedo
Jose Rodriguez
Isela Carrera
Mobile Robot with Movement Detection Controlled by a Real-Time Optical Flow Hermite Transform
231(34)
Ernesto Moya-Albor
Jorge Brieva
Hiram Eredin Ponce Espinosa
Evolutionary Function Approximation for Gait Generation on Legged Robots
265
Oscar A. Silva
Miguel A. Solis