Event-Triggered Suboptimal Tracking Controller Design for a Class of Nonlinear Discrete-Time Systems
Author | Batmani, Yazdan |
Author | Davoodi, Mohammadreza |
Author | Meskin, Nader |
Available date | 2020-11-04T08:52:35Z |
Publication Date | 2017 |
Publication Name | IEEE Transactions on Industrial Electronics |
Resource | Scopus |
ISSN | 2780046 |
Abstract | In this paper, using the state-dependent Riccati equation approach, an event-triggered technique is proposed to solve the tracking problem for a broad class of nonlinear discrete-time networked control systems. It is shown that the proposed tracking controller leads to an asymptotically stable system, while the information exchange between the controller and the actuator can be directly affected with predictable results by changing a parameter of the controller called the triggering factor. The proposed method is experimentally validated on a laboratory three-tank system. The obtained results demonstrate the effectiveness of the proposed event-triggered technique for solving the tracking problem of a nonlinear system in a networked control framework. 1 1982-2012 IEEE. |
Sponsor | Manuscript received October 10, 2016; revised February 14, 2017; accepted April 15, 2017. Date of publication April 27, 2017; date of current version September 11, 2017. This work was supported by National Priorities Research Program (NPRP) grant NPRP 5-045-2-017 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. (Corresponding author: Nader Meskin.) Y. Batmani is with the Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj 15175-66177, Iran (e-mail: y.batmani@uok.ac.ir). |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Event triggered networked control system (NCS) nonlinear system state-dependent Riccati equation (SDRE) suboptimal tracking controller |
Type | Article |
Pagination | 8079-8087 |
Issue Number | 10 |
Volume Number | 64 |
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Electrical Engineering [2649 items ]