Stabilizing controller design for distributed sensor networks with time-varying delays

SENSORS, 2002 IEEE - Tập 2 - Trang 1473-1478 vol.2
V.R. Herath1, K. Premaratne2, M. Dogruel2, P.H. Bauer3
1Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya, Sri Lanka
2Department of Elect. and Computer Engineering, University of Miami, Coral Gables, FL, USA
3Department of Elect. Engineering, University of Notre Dame, Notre Dame, IN, USA

Tóm tắt

In this paper a novel method to determine stochastic mean-square (m-s) stability of sensor-supervisory node loops of a distributed sensor network (DSN) is presented. It enables one to explicitly account for the transition characteristics of time-varying delays that are encountered in communication networks via Markov process models. This results in less conservative controller parameters. For stationary delay processes, it is shown that the underlying dynamics can be described by a time-invariant model thus providing a significant computational advantage. Non-stationary Markov delay processes can be studied via methods available for deterministic time-varying discrete-time systems. The proposed method allows for variable 'granularity' in the controller design thus providing a seamless transition between accuracy and computational effort.

Từ khóa

#Distributed control #Delay #Stability #Stochastic processes #Feedback #TV #Data mining #Resource management #Intelligent networks #Sensor phenomena and characterization

Tài liệu tham khảo

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