Sparse Packetized Predictive Control for Networked Control over Erasure Channels

Abstract

We study feedback control over erasure channels with packet-dropouts. To achieve robustness with respect to packet-dropouts, the controller transmits data packets containing plant input predictions, which minimize a finite horizon cost function. To reduce the data size of packets, we propose to adopt sparsity-promoting optimizations, namely, ell-1-ell-2 and ell-2-constrained ell-0 optimizations, for which efficient algorithms exist. We derive sufficient conditions on design parameters, which guarantee (practical) stability of the resulting feedback control systems when the number of consecutive packet-dropouts is bounded.

IEEE Transactions on Automatic Control, Volume 59 (2014), Issue 7 (July) (to appear)

References in corpus (4)

• Compressive Sampling for Remote Control Systems
• Packetized Predictive Control for Rate-Limited Networks via Sparse Representation
• Compressive Sampling for Networked Feedback Control
• Sparse Command Generator for Remote Control

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