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2017•Unpublished venueRequires access

Modelling of uncertainty in control systems and design of a robust controller using H∞ method

Anushree Das, Veena Sharma

Open publisher page 3 citations

Abstract

A single mathematical model cannot represent a physical system entirely. Disturbance signals or system parameter variations may induce uncertainties in the system. In such a scenario, a good control system should be robust and give a consistent performance. This paper presents the systematic procedure of modelling uncertainties, designing a controller using H∞method and analysis of its robustness.

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What this paper is about

A single mathematical model cannot represent a physical system entirely. Disturbance signals or system parameter variations may induce uncertainties in the system. In such a scenario, a good control system should be robust and give a consistent performance. This paper presents the systematic procedure of modelling uncertainties, designing a controller using H∞method and analysis of its robustness.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

A single mathematical model cannot represent a physical system entirely. Disturbance signals or system parameter variations may induce uncertainties in the system. In such a scenario, a good control system should be robust and give a consistent performance. This paper presents the systematic procedure of modelling uncertainties, designing a controller using H∞method and analysis of its robustness.

Key concepts: Robustness (evolution), Robust control, Control theory (sociology), Computer science, Control engineering, Control system, Controller (irrigation), Control (management)

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