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180504 ||| eng |
| 020 |
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|a 9789811072123
|
| 100 |
1 |
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|a Zhu, Quanmin
|e [editor]
|
| 245 |
0 |
0 |
|a Innovative Techniques and Applications of Modelling, Identification and Control
|h Elektronische Ressource
|b Selected and Expanded Reports from ICMIC’17
|c edited by Quanmin Zhu, Jing Na, Xing Wu
|
| 250 |
|
|
|a 1st ed. 2018
|
| 260 |
|
|
|a Singapore
|b Springer Nature Singapore
|c 2018, 2018
|
| 300 |
|
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|a IX, 453 p. 291 illus., 68 illus. in color
|b online resource
|
| 505 |
0 |
|
|a Modelling and system identification -- Advanced control methods -- Signal processing for condition monitoring and fault diagnosis -- Applications
|
| 653 |
|
|
|a Mechanics, Applied
|
| 653 |
|
|
|a Control, Robotics, Automation
|
| 653 |
|
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|a Computer simulation
|
| 653 |
|
|
|a Control and Systems Theory
|
| 653 |
|
|
|a Computer Modelling
|
| 653 |
|
|
|a Control theory
|
| 653 |
|
|
|a Systems Theory, Control
|
| 653 |
|
|
|a Multibody Systems and Mechanical Vibrations
|
| 653 |
|
|
|a System theory
|
| 653 |
|
|
|a Vibration
|
| 653 |
|
|
|a Control engineering
|
| 653 |
|
|
|a Robotics
|
| 653 |
|
|
|a Multibody systems
|
| 653 |
|
|
|a Automation
|
| 700 |
1 |
|
|a Na, Jing
|e [editor]
|
| 700 |
1 |
|
|a Wu, Xing
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Lecture Notes in Electrical Engineering
|
| 028 |
5 |
0 |
|a 10.1007/978-981-10-7212-3
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-10-7212-3?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 629.8312
|
| 082 |
0 |
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|a 003
|
| 520 |
|
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|a This book presents the most important findings from the 9th International Conference on Modelling, Identification and Control (ICMIC’17), held in Kunming, China on July 10–12, 2017. It covers most aspects of modelling, identification, instrumentation, signal processing and control, with a particular focus on the applications of research in multi-agent systems, robotic systems, autonomous systems, complex systems, and renewable energy systems. The book gathers thirty comprehensively reviewed and extended contributions, which help to promote evolutionary computation, artificial intelligence, computation intelligence and soft computing techniques to enhance the safety, flexibility and efficiency of engineering systems. Taken together, they offer an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, mechanical engineering and communication engineering.
|