Time-invariant Prefix Coding for LQG Control
arXiv:2204.00588 · doi:10.1109/JSAIT.2022.3232060
Abstract
Motivated by control with communication constraints, in this work we develop a time-invariant data compression architecture for linear-quadratic-Gaussian (LQG) control with minimum bitrate prefix-free feedback. For any fixed control performance, the approach we propose nearly achieves known directed information (DI) lower bounds on the time-average expected codeword length. We refine the analysis of a classical achievability approach, which required quantized plant measurements to be encoded via a time-varying lossless source code. We prove that the sequence of random variables describing the quantizations has a limiting distribution and that the quantizations may be encoded with a fixed source code optimized for this distribution without added time-asymptotic redundancy. Our result follows from analyzing the long-term stochastic behavior of the system, and permits us to additionally guarantee that the time-average codeword length (as opposed to expected length) is almost surely within a few bits of the minimum DI. To our knowledge, this time-invariant achievability result is the first in the literature. The originally published version of the supplementary material included a proof that contained an error that turned out to be inconsequential. This updated preprint corrects this error, which originally appeared under Lemma A.7.
arXiv commentVersion as accepted to the IEEE Journal on Selected Areas in Information Theory (Special Issue on Modern Compression), modulo an additional correction to the proof of Lemma A.7. Official version: https://ieeexplore.ieee.org/document/10002900. 14 page main paper, 4 pages appendix, 3 figures
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