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https://hdl.handle.net/2440/113797
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Type: | Journal article |
Title: | Optimal estimation and control for lossy network: stability, convergence, and performance |
Author: | Lin, H. Su, H. Shi, P. Shu, Z. Lu, R. Wu, Z. |
Citation: | IEEE Transactions on Automatic Control, 2017; 62(9):4564-4579 |
Publisher: | IEEE |
Issue Date: | 2017 |
ISSN: | 0018-9286 1558-2523 |
Statement of Responsibility: | Hong Lin, Hongye Su, Peng Shi, Zhan Shu, Renquan Lu, and Zheng-Guang Wu |
Abstract: | In this paper, we study the problems of optimal estimation and control, i.e., the linear quadratic Gaussian (LQG) control, for systems with packet losses but without acknowledgment. Such acknowledgment is a signal sent by the actuator to inform the estimator of the incidence of control packet losses. For such system, which is usually called as a user datagram protocol (UDP)-like system, the optimal estimation is nonlinear and its calculation is timeconsuming, making its corresponding optimal LQG problem complicated. We first propose two conditions: 1) the sensor has some computation abilities; and 2) the control command, exerted to the plant, is known to the sensor. For a UDP-like system satisfying these two conditions, we derive the optimal estimation. By constructing the finite and infinite product probability measure spaces for the estimation error covariances (EEC), we give the stability condition for the expected EEC, and show the existence of a measurable function to which the EEC converges in distribution, and propose some practical methods to evaluate the estimation performance. Finally, the LQG controllers are derived, and the conditions for the mean square stability of the closedloop system are established. |
Keywords: | Linear quadratic Gaussian (LQG); networked control systems; optimal estimation and control; packet loss; smart sensor; user datagram protocol (UDP)- like system |
Description: | Date of publication February 22, 2017 |
Rights: | © 2017 IEEE |
DOI: | 10.1109/TAC.2017.2672729 |
Grant ID: | 61573112 U1509217 61673339 http://purl.org/au-research/grants/arc/DP170102644 R1100716 LR16F030001 |
Published version: | http://dx.doi.org/10.1109/tac.2017.2672729 |
Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
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