Overview and classification of approaches for the simulation of networked control systems

2020 ◽  
Vol 68 (3) ◽  
pp. 151-165
Author(s):  
Michael Sollfrank ◽  
Moritz von Freymann ◽  
Birgit Vogel-Heuser
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
State Of The Art ◽  
Classification Criteria ◽  
The State ◽  
Networked Control ◽  
Network Behavior ◽  
Network Simulations ◽  
Classification Table

AbstractVarious methods, tools, and frameworks are used to model the network behavior of networked control systems (NCS). This paper gives an overview of the dimensions to be considered in the simulation of NCS with the help of an application example. With derived classification criteria, the state of the art is systematically evaluated, and a classification table is provided as a summary. Besides, widely used tools for network simulations are presented, which also serve as clustering categories for the overview.

scholarly journals Networked Control Systems: The Communication Basics and Control Methodologies

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yun-Bo Zhao ◽  
Xi-Ming Sun ◽  
Jinhui Zhang ◽  
Peng Shi
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
State Of The Art ◽  
Research Field ◽  
Networked Control ◽  
Intermediate Step ◽  
Potential Applications ◽  
Art Research ◽  
And Control ◽  
Further Development

As an emerging research field, networked control systems have shown the increasing importance and attracted more and more attention in the recent years. The integration of control and communication in networked control systems has made the design and analysis of such systems a great theoretical challenge for conventional control theory. Such an integration also makes the implementation of networked control systems a necessary intermediate step towards the final convergence of control, communication, and computation. We here introduce the basics of networked control systems and then describe the state-of-the-art research in this field. We hope such a brief tutorial can be useful to inspire further development of networked control systems in both theory and potential applications.

State Feedback Stabilization of Networked Control Systems With Random Time Delays and Packet Dropout

2008 ◽  
Author(s):  
Bo Yu ◽  
Yang Shi
Keyword(s):  
Control Systems ◽  
Time Delays ◽  
State Feedback ◽  
Networked Control Systems ◽  
The State ◽  
Feedback Stabilization ◽  
Networked Control ◽  
Random Time ◽  
Linear Matrix ◽  
Packet Dropout

This article considers the state feedback controller design in the networked control systems (NCSs). The network-induced random time delays and packet dropout existing in sensor-to-controller (S-C) and controller-to-actuator (C-A) links are modeled by two Markov chains. The controller incorporates not only the current S-C delay but also the most recent C-A delay to exploit all available information. Then, the system is converted to be a special jump linear system. The sufficient and necessary conditions for stochastic stability are derived and the state feedback stabilization problem is formulated to be an optimization problem solved by the iterative linear matrix inequality (LMI) approach. A design example is given to illustrate the effectiveness of the proposed method.

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