Use of particle filters in an active control algorithm for noisy nonlinear structural dynamical systems

Sajeeb, R and Manohar, CS and Roy, D (2007) Use of particle filters in an active control algorithm for noisy nonlinear structural dynamical systems. In: Journal of Sound and Vibration, 306 (1-2). pp. 111-135.

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Abstract

The problem of active control of nonlinear structural dynamical systems, in the presence of both process and measurement noises, is considered. The focus of the study is on the use of particle filters for state estimation in feedback control algorithms for nonlinear structures, when a limited number of noisy output measurements are available. The control design is done using the state-dependent Riccati equation (SDRE) method. The stochastic differential equations (SDEs) governing the dynamical systems are discretized using explicit forms of Ito–Taylor expansions. The Bayesian bootstrap filter and that based on sequential important sampling (SIS) are employed for state estimation. The simulation results show the feasibility of using particle filters and SDRE techniques in control of nonlinear structural dynamical systems.

Item Type:	Journal Article
Publication:	Journal of Sound and Vibration
Publisher:	Elsevier
Additional Information:	Copyright of this article belongs to Elsevier.
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	26 Sep 2007
Last Modified:	19 Sep 2010 04:39
URI:	http://eprints.iisc.ac.in/id/eprint/11938

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