Enforcing time domain specifications through the robust performance and H∞ optimization problem

Matthew Franchek

Enforcing time domain specifications through the robust performance and H_∞ optimization problem

Matthew Franchek

Research Institute

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

This paper presents a method in which the performance weights W₁(s) and W₂(s) of the robust performance problem and/or the H_∞ optimization problem can be chosen to enforce hard time domain constraints. The class of systems addressed are single-input-single-output (SISO) regulating systems required to maintain the output within a prespecified time domain tolerance despite i) plant uncertainty, ii) an external step disturbance, and iii) actuator limitations (i.e., output saturation and bandwidth). The performance weights are constructed from the feedback configuration and facilitate disturbance maximization.

Original language	English (US)
Pages (from-to)	1513-1517
Number of pages	5
Journal	Proceedings of the American Control Conference
Volume	2
State	Published - Dec 1 1994
Event	Proceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA Duration: Jun 29 1994 → Jul 1 1994

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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AB - This paper presents a method in which the performance weights W1(s) and W2(s) of the robust performance problem and/or the H∞ optimization problem can be chosen to enforce hard time domain constraints. The class of systems addressed are single-input-single-output (SISO) regulating systems required to maintain the output within a prespecified time domain tolerance despite i) plant uncertainty, ii) an external step disturbance, and iii) actuator limitations (i.e., output saturation and bandwidth). The performance weights are constructed from the feedback configuration and facilitate disturbance maximization.

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ER -

Enforcing time domain specifications through the robust performance and H_∞ optimization problem

Abstract

ASJC Scopus subject areas

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