Control with random communication delays via a discrete-time jump system approach

By Lin Xiao, Arash Hassibi, Jonathan P. How. Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000

415 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/63ca29eb9b537054268cd75a0c052ff698a86902

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. Peng Shi
2. Yang Shi
3. Bo Yu
4. Tongwen Chen
5. Fanbiao Li
6. Huijun Gao
7. S. Craig Smith
8. P. Seiler

In Control and Systems Engineering

1. Peng Shi
2. Yang Shi
3. Huijun Gao
4. Fanbiao Li
5. Lixian Zhang
6. Bo Yu
7. Tongwen Chen
8. James Lam

Citations in the corpus

• Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains (2009, methodology): “For the purpose of comparison, the mode-independent output feedback controller [11] is applied to the same system.”
• Network-Induced Constraints in Networked Control Systems—A Survey (2013, background): “The early works that use the stochastic switched systems approach include [35] by Xiao et al., where an augmented closed-loop system is established by considering all delays in a bounded set, and the resulting system is a Markov jump linear system.”
• A new method for stabilization of networked control systems with random delays (2005, background): “[7] modelled the random delays as Markov chains such that the closed-loop system is a jump linear system with one mode.”
• An H/sub /spl infin// approach to networked control (2005, background): “Stochastic approaches try to prove a version of stability such as mean square stability [49] or expo-”
• Robust mixed H2/H∞ control of networked control systems with random time delays in both forward and backward communication links (2011, methodology): “A delays can be lumped together as a whole, and therefore, the methods for time-delayed systems can be applied to NCSs. Examples of such controller design are the research work in Gao and Chen (2008), Xiao, Hassibi, and How (2000) and Xiong and Lam (2007).”
• A survey on Markovian jump systems: Modeling and design (2015, methodology): “developed two types of controller design methods for NCSs modeled as finite dimensional [107], discrete-time jump linear systems: One is the state feedback controller that only depends on delays from sensor to controller (S-C delays), and is called the one-mode-dependent controller; the other is the”
• Estimation with lossy measurements: jump estimators for jump systems (2003, background): “Recently, control and estimation problems for jump linear systems have been the subject of several studies (e.g. [6], [7]).”