Analysis and Design of Networked Control Systems by Keyou You, Nan Xiao, Lihua Xie

By Keyou You, Nan Xiao, Lihua Xie

This monograph specializes in characterizing the steadiness and function results of putting limited-capacity communique networks inside of a keep an eye on loop. The textual content exhibits how integration of the information of keep watch over and estimation with these of conversation and data idea can be utilized to supply vital insights bearing on numerous primary difficulties such as:

· minimal facts cost for stabilization of linear platforms over noisy channels;

· minimal community requirement for stabilization of linear platforms over fading channels; and

· balance of Kalman filtering with intermittent observations.

A basic hyperlink is published among the topological entropy of linear dynamical structures and the capacities of conversation channels. The layout of a logarithmic quantizer for the stabilization of linear platforms below numerous community environments can be generally mentioned and strategies to many difficulties of Kalman filtering with intermittent observations are demonstrated.

Analysis and layout of Networked keep watch over Systems will curiosity keep an eye on theorists and engineers operating with networked structures and will even be used as a source for graduate scholars with backgrounds in utilized arithmetic, communications or keep watch over who're learning such systems.

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IEEE Trans. Autom. Control 54(1), 163–167 (2009) 49. J. Freudenberg, R. Middleton, J. Braslavsky, Stabilization with disturbance attenuation over a Gaussian channel, in Proceedings of the 46th IEEE Conference on Decision and Control, pp. 3958–3963 (2008) 50. E. Silva, A unified framework for the analysis and design of networked control systems. D. thesis (The University of Newcastle, Callaghan, Australia, 2009) 26 2 Entropies and Capacities in Networked Control Systems 51. Y. Li, E. Tuncel, J. Chen, W.

Inf. Theory 47(3), 1103–1127 (2001) 14. A. El Gamal, T. Cover, Multiple user information theory. Proc. IEEE 68(12), 1466–1483 (1980) 15. M. Gastpar, Causal coding and feedback in Gaussian sensor networks, Advances in Control, Communication Networks, and Transportation Systems (Birkhauser, Boston, 2005), pp. 91– 110 16. T. Linder, R. Zamir, Causal coding of stationary sources and individual sequences with high resolution. IEEE Trans. Inf. Theory 52(2), 662–680 (2006) 17. R. Kalman, Nonlinear aspects of sampled-data control systems, in Proceedings of the Symposium on Nonlinear Circuit Analysis, vol.

2 that there is a significant limitation in the classical quantization approach by modeling the quantization error as an additive white Gaussian noise. In Sect. 3, a data rate theorem is established, which quantifies the minimum data rate required for the channel connecting the controller and plant to stabilize linear systems. In Sect. 4, we conclude the chapter. 1 Problem Statement Consider a linear time invariant (LTI) system xk+1 = Axk + Buk , yk = Cxk , © Springer-Verlag London 2015 K. 1) 29 30 3 Data Rate Theorem for Stabilization Over Noiseless Channels Fig.

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Analysis and Design of Networked Control Systems by Keyou You, Nan Xiao, Lihua Xie
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