2012Unpublished venueRequires access

Data-based predictive control for networked control systems

Yan Wang, Zhicheng Ji

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Abstract

As the network is introduced into the system, it will increase complexity of system dynamics and plant modeling, data-driven control theory is proposed to design the controller independent of the model in this paper. Construct the output data matrix and the input data matrix using input / output current data and historical data, establish a linear relationship between the two, thus get the predictive controller gains. Simulation results show that the proposed controller is effective.

About this research paper

What this paper is about

As the network is introduced into the system, it will increase complexity of system dynamics and plant modeling, data-driven control theory is proposed to design the controller independent of the model in this paper. Construct the output data matrix and the input data matrix using input / output current data and historical data, establish a linear relationship between the two, thus get the predictive controller gains. Simulation results show that the proposed controller is effective.

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Method / approach

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Available abstract

As the network is introduced into the system, it will increase complexity of system dynamics and plant modeling, data-driven control theory is proposed to design the controller independent of the model in this paper. Construct the output data matrix and the input data matrix using input / output current data and historical data, establish a linear relationship between the two, thus get the predictive controller gains. Simulation results show that the proposed controller is effective.

Key concepts: Model predictive control, Construct (python library), Controller (irrigation), Computer science, Control theory (sociology), Networked control system, Control engineering, Control system

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