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White Noise Rejection in a Deterministic Setting

Paganini, Fernando (1994) White Noise Rejection in a Deterministic Setting. California Institute of Technology , Pasadena, CA. (Unpublished)

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This paper provides a framework for analyzing white noise disturbances in linear systems. Rather than the usual stochastic approach, noise signals are described as elements in sets and the disturbance rejection properties of the system are considered in a worst case setting. The description is based on constraints in signal space, directly verifiable on experimental data. These constraints can be given a representation compatible with standard robust control, allowing the formulation of white noise rejection problems in the presence of other sources of uncertainty. It is also shown how the framework can capture as a special case the usual stochastic approach, with equivalent results.

Item Type:Report or Paper (Technical Report)
Additional Information:The author would like to thank John Doyle for motivation and helpful discussions at Caltech. This work was supported by AFOSR, NSF and by the Universidad de la Republica, Uruguay.
Group:Control and Dynamical Systems Technical Reports
Record Number:CaltechCDSTR:1994.015
Persistent URL:
Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:28079
Deposited By: Imported from CaltechCDSTR
Deposited On:13 Sep 2006
Last Modified:03 Oct 2019 03:29

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