Brief paper: Stability and reliable data reconstruction of uncertain dynamic systems over finite capacity channels

Authors:
Alireza Farhadi;Charalambos D. Charalambous
Affiliations:
School of Information Technology and Engineering, University of Ottawa, Ottawa, Ontario, Canada;Electrical and Computer Engineering Department, University of Cyprus, 75 Kallipoleos Avenue, Nicosia, Cyprus
Venue:
Automatica (Journal of IFAC)
Year:
2010

Citing 7
Cited 0

Simultaneous design of measurement and control strategies for stochastic systems with feedback

Automatica (Journal of IFAC)
Elements of information theory

Elements of information theory
Optimization by Vector Space Methods

Optimization by Vector Space Methods
Stabilizability of Stochastic Linear Systems with Finite Feedback Data Rates

SIAM Journal on Control and Optimization
LQG optimality and separation principle for general discrete time partially observed stochastic systems over finite capacity communication channels

Automatica (Journal of IFAC)
Paper: Performance analysis and controller synthesis for nonlinear systems with stochastic uncertainty constraints

Automatica (Journal of IFAC)
To code, or not to code: lossy source-channel communication revisited

IEEE Transactions on Information Theory

Quantified Score

Hi-index	22.14

Visualization

Abstract

In this paper we present an encoder, decoder and a stabilizing controller for reliable data reconstruction and robust stability of uncertain dynamic systems controlled over Additive White Gaussian Noise (AWGN) channels. The uncertainty in the dynamic system is described by a relative entropy constraint. Such an uncertainty description is a natural stochastic generalization of the sum quadratic uncertainty description. This paper complements the results of Farhadi and Charalambous (2008) by showing that the necessary condition presented there can be tight. This is shown by designing an encoder, decoder and a stabilizing controller.