Estimating the maximum allowable delay bound for networked control systems using co-simulation and design space exploration

2021 ◽  
pp. 257-280
Author(s):  
Hao Feng ◽  
Hugo Daniel Macedo ◽  
Peter Gorm Larsen
Keyword(s):  
Control Systems ◽  
Design Space Exploration ◽  
Design Space ◽  
Networked Control Systems ◽  
Space Exploration ◽  
Networked Control ◽  
Delay Bound

Stabilization for Networked Control Systems with Limited Communication

2013 ◽  
Vol 397-400 ◽  
pp. 1963-1966
Author(s):  
Ying Ying Liu ◽  
Yun Kai Chu
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Lyapunov Stability Theory ◽  
Networked Control ◽  
Linear Matrix ◽  
Quantization Scheme ◽  
Matrix Inequalities ◽  
Delay Bound ◽  
The Relationship ◽  
Convex Condition

This paper studies the stabilization problems of networked control systems (NCSs) with dynamical quantizers. A new model is proposed that takes into consideration the effect of the network induced delay, the quantization levels, and based on this model, dynamical quantization scheme is introduced. The relationship between the delay bound，the quantization range and stability is given by using Lyapunov stability theory and linear matrix inequalities (LMIs) approach, and convex condition of the stabilization controller is presented. A simulation example shows the effectiveness of the proposed method.

Stability and Maximum Delay Bound of Networked Control Systems with Multi-Step Delay

2007 ◽  
Vol 6 (5) ◽  
pp. 780-783
Author(s):  
Limin Cheng ◽  
Li Kong ◽  
Changlin Ma ◽  
Xiaoling Zhu
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control ◽  
Delay Bound ◽  
Maximum Delay

scholarly journals Networked and Cloud Control Systems - Modern Challenges in Control Engineering

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Nataša Popović ◽  
Milica Naumović
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Systems Design ◽  
Networked Control ◽  
Delay Bound ◽  
Complete Control ◽  
Dc Motor Control ◽  
Control Concept ◽  
Control Systems Design ◽  
Data Dropouts

The paper describes development of some control techniques used in the feedback control systems. Modern control trends,with attention to networked control systems (NCS), and basic assumptions for introducing a new control concept – control in the cloudare described. Networked control systems techniques initiated the development of concept of Internet of Things and are fundamental incloud control systems design. Network induced delays that occur in NCSs, as a result of the presence of a communication network, andNCSs stability are considered, as well. Time delays and data dropouts influence on the NCS behavior and stability is analyzed, and somerelations for maximum allowable delay bound estimation are provided. It is shown, on example of DC motor control, that networkedsystem behaves in desired manner and remains stable if the delay is less then estimated maximum bound. When data dropouts occur,system delays become greater and lead to the system instability. Cloud control systems use some techniques of NCSs and cloudcomputing. These techniques are briefly presented and are necessary to complete control tasks in the cloud.

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