Optimal state-feedback design for MIMO systems subject to multiple SNR constraints

Pulgar S.A.; Silva E.I.; Salgado M.E.

Keywords: systems, optimization, design, matrix, ratio, inequality, square, feedback, inequalities, signal, computer, control, data, convex, noise, dropout, problems, mimo, conditions, problem, mean, Linear, to, controllers, Optimal, controls, Sufficient, Networked, Over-erasure, (SNR), (LMIs), Signaltonoise, State-feedback

Abstract

This paper studies optimal control problems associated to networked systems. In particular, we focus on a case where a multiple-input multiple-output (MIMO) plant is controlled over a channel subject to multiple signal-to-noise ratio (SNR) constraints. For this setup, we establish necessary and sufficient conditions for the existence of static state-feedback controllers that stabilize the plant in a mean square sense. Such conditions are given in terms of a convex optimization problem involving linear matrix inequalities (LMIs). An optimal design procedure is also presented. As an application of our results, we study a class of networked systems closed over erasure channels. © 2011 IFAC.

Más información

Título de la Revista: IFAC Proceedings Volumes
Volumen: 18
Número: PART 1
Editorial: Elsevier
Fecha de publicación: 2011
Página de inicio: 14410
Página final: 14415
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84866772625&partnerID=q2rCbXpz