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Fuzzy Control for Networked Control System

Zhiyi Sun, Hou Chao-zhen

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Abstract

Feedback control systems wherein the control loops are closed through a real-time network are called networked control systems (NCS). The insertion of the communication network in the feedback control loop makes the design of controller in NCS complex. In this paper, a fuzzy control method for networked control system is introduced. In order to evaluate feasibility, a networked control system for double inverted pendulum control is implemented on campus network. The experimental result shows that the fuzzy control is an effective method for NCS due to its robustness against parameter uncertainty.

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What this paper is about

Feedback control systems wherein the control loops are closed through a real-time network are called networked control systems (NCS). The insertion of the communication network in the feedback control loop makes the design of controller in NCS complex. In this paper, a fuzzy control method for networked control system is introduced. In order to evaluate feasibility, a networked control system for double inverted pendulum control is implemented on campus network. The experimental result shows that the fuzzy control is an effective method for NCS due to its robustness against parameter uncertainty.

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Available abstract

Feedback control systems wherein the control loops are closed through a real-time network are called networked control systems (NCS). The insertion of the communication network in the feedback control loop makes the design of controller in NCS complex. In this paper, a fuzzy control method for networked control system is introduced. In order to evaluate feasibility, a networked control system for double inverted pendulum control is implemented on campus network. The experimental result shows that the fuzzy control is an effective method for NCS due to its robustness against parameter uncertainty.

Key concepts: Networked control system, Inverted pendulum, Control system, Fuzzy control system, Robustness (evolution), Control theory (sociology), Control engineering, Computer science

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