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161005 ||| eng |
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|a 9783319442129
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| 100 |
1 |
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|a Lin, Hong
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| 245 |
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|a Estimation and Control for Networked Systems with Packet Losses without Acknowledgement
|h Elektronische Ressource
|c by Hong Lin, Hongye Su, Peng Shi, Zhan Shu, Zheng-Guang Wu
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a XIII, 188 p. 39 illus., 27 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction -- Optimal Estimation and Control for UDP-Like Systems -- An Auxiliary Estimator Method -- Stability and Convergence of optimal Estimator for UDP-Like Systems -- Auxiliary-Estimator-Based Suboptimal Estimators for UDP-Like Systems
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| 653 |
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|a Control and Systems Theory
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| 653 |
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|a Calculus of Variations and Optimization
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| 653 |
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|a Control theory
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| 653 |
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|a Systems Theory, Control
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| 653 |
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|a System theory
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Control engineering
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| 653 |
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|a Signal processing
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| 653 |
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|a Mathematical optimization
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| 653 |
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|a Calculus of variations
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| 700 |
1 |
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|a Su, Hongye
|e [author]
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| 700 |
1 |
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|a Shi, Peng
|e [author]
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| 700 |
1 |
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|a Shu, Zhan
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Systems, Decision and Control
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| 028 |
5 |
0 |
|a 10.1007/978-3-319-44212-9
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-44212-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 629.8312
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| 082 |
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|a 003
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| 520 |
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|a This book discusses recent advances in the estimation and control of networked systems with unacknowledged packet losses: systems usually known as user-datagram-protocol-like. It presents both the optimal and sub-optimal solutions in the form of algorithms, which are designed to be implemented easily by computer routines. It also provides MATLAB® routines for the key algorithms. It shows how these methods and algorithms can solve estimation and control problems effectively, and identifies potential research directions and ideas to help readers grasp the field more easily. The novel auxiliary estimator method, which is able to deal with estimators that consist of exponentially increasing terms, is developed to analyze the stability and convergence of the optimal estimator. The book also explores the structure and solvability of the optimal control, i.e. linear quadratic Gaussian control. It develops various sub-optimal but efficient solutions for estimation and control for industrial and practical applications, and analyzes their stability and performance. This is a valuable resource for researchers studying networked control systems, especially those related to non-TCP-like networks. The practicality of the ideas included makes it useful for engineers working with networked control.
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