Study on Discrete-Time Networked Control Systems under Multiple Packet Transmission

碩士 === 國立臺灣海洋大學 === 電機工程學系 === 96 === A feedback control system with feedback loop closing through a real-time network is called a Networked Control System (NCS). For a real NCS, all measured state information being transmitted in a single packet is often impossible since the sensors might distribut...

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Bibliographic Details
Main Authors: Sheng-Hsiung Yang, 楊勝雄
Other Authors: Jenq-Lang Wu
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/43451813331180842451
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Summary:碩士 === 國立臺灣海洋大學 === 電機工程學系 === 96 === A feedback control system with feedback loop closing through a real-time network is called a Networked Control System (NCS). For a real NCS, all measured state information being transmitted in a single packet is often impossible since the sensors might distribute in different places. The main objective of this thesis is concerning with stability analysis and control synthesis for NCSs under multiple packet transmission. Firstly, we consider the stabilization problem for multiple packet transmission NCSs. The dynamics of the considered NCS can be modeled as a switched control system. Based on the multiple Lyapunov function method, memorial and periodic state feedback and output feedback laws can be derived by the linear matrix inequality (LMI) approach. Then, the control problem for multiple packet transmission NCSs is considered. Similarly, we model the considered NCS as a switched control system. By the multiple Lyapunov function method, memorial and periodic state feedback and output feedback controllers can be obtained by the LMI approach. Finally, we consider the case that the measured data from a sensor node is broadcasted to all the actuator nodes. At each actuator node, a local controller is used to compute the control signal for the actuator. We model the considered decentralized networked control system as a switched control system. Based on the multiple Lyapunov function method, memorial and periodic feedback laws can be derived by the LMI approach. Several examples are provided for verification.