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2013•Transactions of the Society of Instrument and Control EngineersOpen access

On Stabilization by Intelligent PID Control

Satoshi INAGAKI, Ichiro Maruta, Toshiharu Sugie

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Abstract

This paper is concerned with applicability of intelligent PID control which is proposed by Fliess and Join recently. First, we analyze the stability of intelligent PID control systems. It is clarified that the intelligent PID controllers stabilize any linear plants provided that they are minimum phase and their relative degrees are known. Simulation results are given to verify the analysis. Second, an experiment of positioning control is performed to verify the effectiveness of the intelligent PID control method.

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What this paper is about

This paper is concerned with applicability of intelligent PID control which is proposed by Fliess and Join recently. First, we analyze the stability of intelligent PID control systems. It is clarified that the intelligent PID controllers stabilize any linear plants provided that they are minimum phase and their relative degrees are known. Simulation results are given to verify the analysis. Second, an experiment of positioning control is performed to verify the effectiveness of the intelligent PID control method.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper is concerned with applicability of intelligent PID control which is proposed by Fliess and Join recently. First, we analyze the stability of intelligent PID control systems. It is clarified that the intelligent PID controllers stabilize any linear plants provided that they are minimum phase and their relative degrees are known. Simulation results are given to verify the analysis. Second, an experiment of positioning control is performed to verify the effectiveness of the intelligent PID control method.

Key concepts: PID controller, Control theory (sociology), Intelligent control, Stability (learning theory), Control (management), Control engineering, Computer science, Engineering

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