2009Unpublished venueRequires access

Analysis of networked predictive control systems with uncertainties

Shuai Liu

Open publisher page 10 citations

Abstract

This paper studies the robustness of networked predictive control systems (NPCS) with uncertainties. A networked predictive control strategy that compensates for delay actively rather than passively is introduced to cope with - varying network delay and data dropout. The closed-loop networked predictive control system is described as a normal robust control system, which makes the control design and stability analysis convenient. The robustness analysis of the closed-loop networked predictive control system is discussed in details.

About this research paper

What this paper is about

This paper studies the robustness of networked predictive control systems (NPCS) with uncertainties. A networked predictive control strategy that compensates for delay actively rather than passively is introduced to cope with - varying network delay and data dropout. The closed-loop networked predictive control system is described as a normal robust control system, which makes the control design and stability analysis convenient. The robustness analysis of the closed-loop networked predictive control system is discussed in details.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper studies the robustness of networked predictive control systems (NPCS) with uncertainties. A networked predictive control strategy that compensates for delay actively rather than passively is introduced to cope with - varying network delay and data dropout. The closed-loop networked predictive control system is described as a normal robust control system, which makes the control design and stability analysis convenient. The robustness analysis of the closed-loop networked predictive control system is discussed in details.

Key concepts: Model predictive control, Robustness (evolution), Networked control system, Control theory (sociology), Control system, Computer science, Dropout (neural networks), Control engineering

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