| Title | Tight Bound on the Stability of Control Systems over Parallel Gaussian Channels Using a New Joint Source Channel Coding |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Sanjaroon, Vahideh, Motahari, Abolfazl S., Farhadi, Alireza, Khalaj, Babak. H. |
| Conference Name | 2019 Iran Workshop on Communication and Information Theory (IWCIT) |
| Keywords | AWGN channels, capacity, channel capacity, channel coding, composability, control systems, Decoding, Eigenvalues and eigenfunctions, eigenvalues-rate condition, feedback, Gaussian channels, joint source channel coding, Linear systems, Metrics, networked control systems, new joint source channel coding, noiseless linear time invariant control system, nonlinear joint source channel coding, parallel Gaussian channels, pubcrawl, Resiliency, Shannon channel capacity, stability, Stability criteria |
| Abstract | In this paper, we address the stability problem of a noiseless linear time invariant control system over parallel Gaussian channels with feedback. It is shown that the eigenvalues-rate condition which has been proved as a necessary condition, is also sufficient for stability over parallel Gaussian channels. In fact, it is proved that for stabilizing a control system over the parallel Gaussian channels, it suffices that the Shannon channel capacity obtained by the water filling technique is greater than the sum of the logarithm of the unstable eigenvalues magnitude. In order to prove this sufficient condition, we propose a new nonlinear joint source channel coding for parallel Gaussian channels by which the initial state is transmitted through communication steps. This coding scheme with a linear control policy results in the stability of the system under the eigenvalues-rate condition. Hence, the proposed encoder, decoder and controller are efficient for this problem. |
| DOI | 10.1109/IWCIT.2019.8731623 |
| Citation Key | sanjaroon_tight_2019 |
Tight Bound on the Stability of Control Systems over Parallel Gaussian Channels Using a New Joint Source Channel Coding