Overview
- Gathers contributions on Intelligent Engineering from authors around the world
- Focuses on fuzzy neural control, intelligent and nonlinear control, dynamic systems, and cyber-physical systems
- Is dedicated to Imre J. Rudas’s seventy-fifth birthday
Part of the book series: Topics in Intelligent Engineering and Informatics (TIEI, volume 18)
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Keywords
- Machine Learning
- Genetic Algorithms
- Neural Nets
- Fuzzy Systems
- Fuzzy and Neuro-fuzzy Control
- Intelligent Manufacturing Systems
- Production Planning and Scheduling
- Rapid Prototyping
- Flexible Manufacturing Systems
- Collaborative Engineering
- Concurrent Engineering
- Data Fusion
- Intelligent Sensors
- Intelligent Motion Control
- Service Robots Intelligent Signal Processing
About this book
The book publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics, and life science, as well as the methodologies behind them.
The book contains monographs, lecture notes, and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution—this permits a rapid and broad disseminational of research results.
Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment.
Intelligent robots can be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing. They have the power to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. In this book leading specialists address various theoretical and practical aspects in soft computing, intelligent robotics, and control. The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computing, intelligent mobile robotics, and intelligent control of linear and nonlinear dynamic systems.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Intelligent Engineering
Book Subtitle: Volume Dedicated to Imre J. Rudas’ Seventy-Fifth Birthday
Editors: Levente Kovács, Tamas Haidegger, Anikó Szakál
Series Title: Topics in Intelligent Engineering and Informatics
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-58256-1Due: 25 July 2024
Softcover ISBN: 978-3-031-58259-2Due: 25 July 2024
eBook ISBN: 978-3-031-58257-8Due: 25 July 2024
Series ISSN: 2193-9411
Series E-ISSN: 2193-942X
Edition Number: 1
Number of Pages: X, 330
Number of Illustrations: 23 b/w illustrations, 121 illustrations in colour