Rate allocation for quantized control over noisy channels

Authors:
Lei Bao;Mikael Skoglund;Carlo Fischione;Karl Henrik Johansson
Affiliations:
ACCESS Linnaeus Center and Royal Institute of Technology, Stockholm, Sweden;ACCESS Linnaeus Center and Royal Institute of Technology, Stockholm, Sweden;ACCESS Linnaeus Center and Royal Institute of Technology, Stockholm, Sweden;ACCESS Linnaeus Center and Royal Institute of Technology, Stockholm, Sweden
Venue:
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Year:
2009

Citing 5
Cited 1

Combinatorial optimization: algorithms and complexity

Combinatorial optimization: algorithms and complexity
Vector quantization and signal compression

Vector quantization and signal compression
High-Rate Analysis of Source Coding for Symmetric Error Channels

DCC '06 Proceedings of the Data Compression Conference
Joint optimization of wireless communication and networked control systems

Switching and Learning in Feedback Systems
Quantization of Multiple Sources Using Nonnegative Integer Bit Allocation

IEEE Transactions on Information Theory

Optimal Cross-Layer Design of Sampling Rate Adaptation and Network Scheduling for Wireless Networked Control Systems

ICCPS '12 Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

To achieve satisfactory overall performance, optimal rate allocation in a networked control system with highly limited communication resources is instrumental. In this paper, a rate allocation technique for state feedback control in linear dynamic systems over a noisy channel is proposed. The method consists of two steps: (i) the overall cost is expressed as a function of rates at all time instants by means of high-rate quantization theory, and (ii) a constrained optimization problem to minimize the overall distortion is solved. It is shown that a non-uniform quantization is in general the best strategy for state feedback control over noisy channels. Monte Carlo simulations illustrate the proposed scheme, which is shown to have good performance when compared to arbitrarily selected rate allocations.