Scheduling of networked control systems
By G. Walsh, Hong-Jin Ye. 2001
839 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/5cd898d77363c15e5b0456b37406e0df3e8bb052
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
- Chen Peng
- Qing-Long Han
- James Lam
- W. M. Heemels
- Karl Henrik Johansson
- Dong Yue
- Engang Tian
- Huijun Gao
In Hardware and Architecture
- W. M. Heemels
- Qing-Long Han
- Chen Peng
- Dong Yue
- Karl Henrik Johansson
- Engang Tian
- P. Arun Raj Kumar
- Kyoung-Dae Kim
Citations in the corpus
- Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey (2016, result): “Similar to [62] and [63], to facilitate the controller”
- Stochastic optimal control and analysis of stability of networked control systems with long delay (2003, methodology): “But the design of the controller and the e@ect of the controller to the stability of the NCS were not dealt with in these papers.”
- Network-Induced Constraints in Networked Control Systems—A Survey (2013, background): “For more details on the sources of network-induced delays and the classifications of them in different characters, we refer the readers to [21], [28]–[30], and the references therein.”
- Ltd Registered in England and Wales Registered Number : 1072954 Registered office : (2004, background): “In recent years, NCSs have received increasing attention from researchers in the field of information and control (Wong and Brockett 1999; Lin, Zhai, and Antsaklis 2003; Walsh and Ye 2001; Walsh, Hong, and Bushnell 2002; Montestruque and Antsaklis 2003).”
- Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness (2019, methodology): “Illustrative example: As an illustrative example, consider the discretized version of a batch reactor system [34] using a sampling time of 0.”
- STATE FEEDBACK CONTROLLER DESIGN OF NETWORKED CONTROL SYSTEMS WITH PARAMETER UNCERTAINTY AND STATE‐DELAY (2006, methodology): “A perturbation method of stability analysis of the NCS was given in [11,13].”
- A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems (2013, background): “Networked control systems (NCSs) have a relatively new structure where sensors, controllers and plants are often connected over a common network medium [8], [18], [24], [30].”
- Stabilization of Networked Control Systems With a Logic ZOH (2009, methodology): “The applications of NCSs can be found in many fields such as automobiles, aircrafts, and HVAC systems [1].”
- Cyber–Physical Systems: A Perspective at the Centennial (2012, methodology): “Both the round-robin (RR) static scheduling protocol and the MEF-TOD dynamic scheduling protocol considered in [45] turn out to be Lyapunov UGES protocols.”
- Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems (2018, methodology): “(14) The event-trigger error (14) is used to determine the event-trigger instants by comparing it with a state-dependent threshold.”
- Communication and control co-design for networked control systems (2006, methodology): “A related approach, termed “MEF-TOD” (Walsh & Ye, 2001) can handle NCSs with coupled dynamics, but it is attached to very conservative stability criteria (Ye, 2000).”
- Stabilization of linear systems over networks with bounded packet loss (2007, positive): “NCSs have many industrial applications in automobiles, manufacturing plants, aircrafts, and HVAC systems (Walsh & Ye, 2001).”