Stabilization of Networked Control Systems With a New Delay Characterization

By Huijun Gao, Xiangyu Meng, Tongwen Chen. IEEE Transactions on Automatic Control, 2008

370 citations recorded by the source corpus.

How researchers see this paper

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

Survey on Recent Advances in Networked Control Systems (2016, methodology): “2) A Markovian Jumping System Approach: A Markovian jumping system approach is developed for analysis and control of NCSs.”
Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings (2013, methodology): “Note that utilizing Bernoulli variables is the most common way to describe packet losses [31], [43], [44], random sensor delays [45], and unreliable control inputs [46] due to their simplicities and efﬁciency.”
Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems (2016, background): “Note that such kind of setting has been used to describe randomness in networked systems, such as missing measurements and time delays [25].”
Networked Synchronization Control of Coupled Dynamic Networks With Time-Varying Delay (2010, methodology): “In [15], an H∞ networked control method for linear uncertain systems was proposed by employing a new Lyapunov–Krasovskii functional.”
A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems (2013, background): “In the past decade, the control design problem for NCSs has experienced an increasing attention in the literature [5], [6], [23], [26], [28].”