Zero-Delay Lossy Coding of Linear Vector Markov Sources with Applications to Networked Control

Loading...
Thumbnail Image

Authors

Ghomi, Meysam

Date

Type

thesis

Language

eng

Keyword

Zero-Delay Coding , Stochastic Control , Information Theorey , Markov Decision Process , Stochastic Control

Research Projects

Organizational Units

Journal Issue

Alternative Title

Abstract

In this thesis we study the optimal zero-delay coding (quantization) of $\mathbb{R}^d$-valued linearly generated Markov sources under quadratic distortion. The structure and existence of deterministic and stationary coding policies that are optimal for the infinite horizon average cost (distortion) problem is established. Prior results studying the optimality of zero-delay codes for Markov sources for infinite horizons either considered finite alphabet sources or, for the $\mathbb{R}^d$-valued case, only showed the existence of deterministic and non-stationary Markov coding policies or those which are randomized. In addition to existence results, for finite blocklength (horizon) $T$ the performance of an optimal coding policy is shown to approach the infinite time horizon optimum at a rate $O(\frac{1}{T})$. This gives an explicit rate of convergence that quantifies the near-optimality of finite window (finite-memory) codes among all optimal zero-delay codes. In addition, we present an important application of our result to closed loop networked control systems. We show that with predictive encoder the separation principle for the infinite horizon problem holds. Prior results only proved this for finite horizon average cost problem.

Description

Citation

Publisher

License

Queen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canada
ProQuest PhD and Master's Theses International Dissemination Agreement
Intellectual Property Guidelines at Queen's University
Copying and Preserving Your Thesis
This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.
CC0 1.0 Universal

Journal

Volume

Issue

PubMed ID

External DOI

ISSN

EISSN