2010•Kongzhi yu jueceRequires access

Design of networked control systems with state observer

Guanzhong Dai

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Abstract

Aiming at networked control systems with time-varying network-delay and data dropout,the design of state observer is studied in this paper.Based on hierarchical control structure,the design of networked control system with local state observer is presented.According to the proposed method,the sufficient condition for networked control system with hierarchical control structure meeting the separation principle is proved.The proposed method not only simplifies the design of networked control system,but also improves the control performance.Simulation results show the effectiveness of the proposed method.

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What this paper is about

Aiming at networked control systems with time-varying network-delay and data dropout,the design of state observer is studied in this paper.Based on hierarchical control structure,the design of networked control system with local state observer is presented.According to the proposed method,the sufficient condition for networked control system with hierarchical control structure meeting the separation principle is proved.The proposed method not only simplifies the design of networked control system,but also improves the control performance.Simulation results show the effectiveness of the proposed method.

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Available abstract

Aiming at networked control systems with time-varying network-delay and data dropout,the design of state observer is studied in this paper.Based on hierarchical control structure,the design of networked control system with local state observer is presented.According to the proposed method,the sufficient condition for networked control system with hierarchical control structure meeting the separation principle is proved.The proposed method not only simplifies the design of networked control system,but also improves the control performance.Simulation results show the effectiveness of the proposed method.

Key concepts: Networked control system, Observer (physics), Hierarchical control system, Dropout (neural networks), State observer, Control (management), Control theory (sociology), Control system

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