Network design consideration for distributed control systems

By Feng‐Li Lian, W. Moyne, Dawn M. Tilbury. IEEE Transactions on Control Systems Technology, 2002

538 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/f6960c58a69874e98ed571b8b52fa09b3c07d04f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. James R. Moyne
2. Dawn M. Tilbury
3. Chen Peng
4. Dong Yue
5. Qing-Long Han
6. Guanrong Chen
7. Chenyang Lu
8. Yixin Chen

In Computer Networks and Communications

1. Qing-Long Han
2. Chen Peng
3. Dong Yue
4. Feng Qian
5. James R. Moyne
6. Wangli He
7. Guanrong Chen
8. Dawn M. Tilbury

In Hardware and Architecture

1. James R. Moyne
2. Chen Peng
3. Dong Yue
4. Qing-Long Han
5. Dawn M. Tilbury

Citations in the corpus

• STATE FEEDBACK CONTROLLER DESIGN OF NETWORKED CONTROL SYSTEMS WITH PARAMETER UNCERTAINTY AND STATE‐DELAY (2006, result): “There have been also some results on the MADB for stability in networked control systems, but these were concerned with stability or scheduling of the NCS with an allowable delay [1,4,10].”
• Ethernet-Based Real-Time and Industrial Communications (2005, background): “We will, however, restrict our scope to industrial communications, be they control networks [ 17 ], fieldbuses [18], or sensor and actuator buses [19].”
• Impact of Communication Delays on Secondary Frequency Control in an Islanded Microgrid (2015, unknown): “of the communication systems adopted [22].”
• Network-based leader-following consensus of nonlinear multi-agent systems via distributed impulsive control (2017, background): “However, like [15, 20], the state information of each agent and its neighbors is required all the time.”
• The Emergence of Industrial Control Networks for Manufacturing Control, Diagnostics, and Safety Data (2007, methodology): “When a network is used in the feedback loop of a control system, the performance of the system depends not only on the QoS of the network but also on how the network is used (e.g., sample time, message scheduling, node prioritization, etc.) [ 31 ], [33].”
• Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems (2016, background): “…example, while it is well known in digital control that a low sampling rate usually degrades control performance [7], a high sampling rate may increase resource contention in bandwidth-constrained WSANs leading to long communication delays, which again may lead to degraded control performance [8].”