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Research Papers

Observer-Based Feedback Control of Networked Control Systems With Delays and Packet Dropouts

[+] Author and Article Information
Qixin Zhu

School of Mechanical Engineering,
Suzhou University of Science and Technology,
Suzhou 215009, China;
School of Electronical and
Electronic Engineering,
East China Jiaotong University,
Nanchang 330013, China
e-mail: qxzhu@mail.usts.edu.cn

Kaihong Lu

School of Electronical and
Electronic Engineering,
East China Jiaotong University,
Nanchang 330013, China
e-mail: lukaihong@stu.xidian.edu.cn

Yonghong Zhu

School of Mechanical and
Electronic Engineering,
Jingdezhen Ceramic Institute,
Jingdezhen 333001,China
e-mail: zhuyonghong@jci.edu.com

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received April 28, 2015; final manuscript received November 24, 2015; published online December 28, 2015. Assoc. Editor: M. Porfiri.

J. Dyn. Sys., Meas., Control 138(2), 021011 (Dec 28, 2015) (8 pages) Paper No: DS-15-1197; doi: 10.1115/1.4032135 History: Received April 28, 2015; Revised November 24, 2015

The observer-based feedback controller of a new linear networked control system (NCS) with both delays and packet dropouts is designed when the state information is not fully available. With the effects of transmission delays, NCSs are modeled as a discrete-time system with time-varying parameter. The occurrence of packet dropouts is modeled as a Bernoulli event in the NCSs. Under certain conditions, the observer-based controller is proved to render the corresponding NCSs exponentially mean-square stable based on Lyapunov stability theorem and matrix inequality theory. Finally, numerical simulations are included to demonstrate the theoretical results.

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References

Figures

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Fig. 1

The structure of the NCS

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Fig. 2

Timing diagram of signals transmitting in NCS

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Fig. 3

The distribution of time-varying delays in NCS

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Fig. 4

The distribution of data dropouts in NCS

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Fig. 5

The state response curves of NCS when the state information of NCS is fully available

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Fig. 6

The state response curves of NCS when the state information of NCS is not fully available

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Fig. 7

The state response curves of NCS when the state information of NCS is fully available

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Fig. 8

The state response curves of NCS when the state information of NCS is fully available

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Fig. 9

The state response curves of NCS when the state information of NCS is not fully available

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