Networked Control Systems with Different Control Inputs
Xia Yuanqing, Jie Chen, Zhou Lin
Abstract
Xia Yuanqing, Jie Chen, Zhou Lin
Abstract
In this paper, both theoretical and experimental analysis of networked control systems with different control inputs are presented. Based on the networked predictive control methods, the effects of network transmission delay and data dropout are overcome. Due to the different ways of control input ut, the stability of the different resulting closed-loop systems is also discussed in the paper. Both real-time simulations and practical experiments are presented to the difference between control inputs.
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In this paper, both theoretical and experimental analysis of networked control systems with different control inputs are presented. Based on the networked predictive control methods, the effects of network transmission delay and data dropout are overcome. Due to the different ways of control input ut, the stability of the different resulting closed-loop systems is also discussed in the paper. Both real-time simulations and practical experiments are presented to the difference between control inputs.
Key concepts: Dropout (neural networks), Control (management), Computer science, Networked control system, Control system, Stability (learning theory), Model predictive control, Transmission (telecommunications)