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Content Provider | IET Digital Library |
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Author | Li, Zhicheng Xu, Yinliang Huang, Hong Misra, Satyajayant |
Abstract | In this study, the authors study the problems of sparse control and data transmission for network switched control systems. First, the networked control system is modelled as switched control systems. The new stability criterion and stabilisation criterion are presented based on a sparse control design methodology and the Lyapunov stability theory. Then, according to the structure of the systems, data transmission through the unreliable network from sensors to the controller becomes unavoidable. In the transmission, real-time compressed sensing (CS) is effectively employed, which can reduce the size of transfer data and increase the reliability of data transmission. The controller design method and the CS approach are very effective, which have been explained and verified via simulation studies. |
Starting Page | 1078 |
Ending Page | 1087 |
Page Count | 10 |
ISSN | 17518644 |
Volume Number | 10 |
e-ISSN | 17518652 |
Issue Number | Issue 9, Jun (2016) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cta/10/9 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.1330 |
Journal | IET Control Theory & Applications |
Publisher Date | 2016-06-05 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Compressed Sensing Control System Analysis Control System Synthesis Data Transmission Reliability Improvement Lyapunov Method Lyapunov Stability Theorem Network Switched Control System Networked Control System Real-time Compressed Sensing Real-time CS Signal Processing And Detection Signal Processing Theory Sparse Control Design Methodology Stability Stability Criteria Stability in Control Theory Switching System (control) Synthesis Method Time Varying Control System Transfer Data Size Reduction Unreliable Network |
Content Type | Text |
Resource Type | Article |
Subject | Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications |
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