Data-based predictive control for networked control systems
Yan Wang, Zhicheng Ji
Abstract
Yan Wang, Zhicheng Ji
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.
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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