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Innovative Techniques and Applications of Modelling, Identification and Control [electronic resource] : Selected and Expanded Reports from ICMIC’17 / edited by Quanmin Zhu, Jing Na, Xing Wu.

Contributor(s): Zhu, Quanmin [editor.] | Na, Jing [editor.] | Wu, Xing [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Electrical Engineering: 467Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: IX, 453 p. 291 illus., 68 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811072123.Subject(s): Control engineering | Computer simulation | System theory | Control theory | Multibody systems | Vibration | Mechanics, Applied | Robotics | Automation | Control and Systems Theory | Computer Modelling | Systems Theory, Control | Multibody Systems and Mechanical Vibrations | Control, Robotics, AutomationAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8312 | 003 Online resources: Click here to access online
Contents:
Modelling and system identification -- Advanced control methods -- Signal processing for condition monitoring and fault diagnosis -- Applications.
In: Springer Nature eBookSummary: 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.  .
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Modelling and system identification -- Advanced control methods -- Signal processing for condition monitoring and fault diagnosis -- Applications.

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.  .

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