Abstract

In order to overcome the constraints of Networked Control Systems (NCSs) such as random packet delays or dropouts, it is a natural idea to estimate the system state and compensate for the time delays on the controller side. This paper provides an estimate on the scale of the complete dynamical system that uses this idea of control. The structure of the complete system is clearly illustrated. Then a concise sufficient and necessary stability condition is provided. In the numerical example, it is shown that this seemingly small system turns out to have a very large scale.

Highlights

  • Introduction and preliminariesThis work is motivated by the networked control system (NCS) or remote control system where the media that connects the controller and actuator causes random packet delays or dropouts

  • In order to overcome the constraints of Networked Control Systems (NCSs) such as random packet delays or dropouts, it is a natural idea to estimate the system state and compensate for the time delays on the controller side

  • The NCS is a special dynamical system that might be easy to describe in words, but is hard to understand because its dynamics looks chaotic

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Summary

Introduction and preliminaries

This work is motivated by the networked control system (NCS) or remote control system where the media that connects the controller and actuator causes random packet delays or dropouts. In this paper we propose a predictive control method of NCS with random packet delays and state estimate/compensation, and clearly show the structure of this system. Throughout this paper we use xk, uk to denote the system state on the actuator side, and the control variable, respectively, where k is time index. The controller receives state feedback from the actuator via randomly delayed packets, and the controller estimates the future system state and sends out a new control signal. If no state feedback is received at a certain time instant, the controller sends a zero control signal

AIMS Electronics and Electrical Engineering
The scale of NCS with random delay and state estimate
State estimate
New control signal
Stability analysis
Transition probabilities
Numerical example
Conclusions
Full Text
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