Modelling and Control for Intelligent Industrial Systems Adaptive Algorithms in Robotics and Industrial Engineering
Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2011, 2011
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| Edition: | 1st ed. 2011 |
| Series: | Intelligent Systems Reference Library
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Industrial robots in contact-free operation
- Industrial robots in compliance tasks
- Mobile robots and autonomous vehicles
- Adaptive control methods for industrial systems .-Robust control methods for industrial systems
- Filtering and estimation methods for industrial systems
- Sensor fusion-based control for industrial systems
- Fault detection and isolation for industrial systems
- Application of fault diagnosis to industrial systems
- Optimization methods for motion planning of multi-robot systems
- Optimization methods for target tracking by multi-robot systems
- Optimization methods for industrial automation
- Machine learning methods for industrial systems control.-Machine learning methods for industrial systems fault diagnosis
- Applications of machine vision to industrial systems