http://scholars.ntou.edu.tw/handle/123456789/24607
Title: | Finite-Time Asynchronous Event-Triggered Control for Switched Nonlinear Cyber-Physical Systems With Quantization | Authors: | Arunkumar, Arumugam Wu, Jenq-Lang |
Keywords: | Switches;Cyberattack;Control systems;Switched systems;Quantization (signal);Symmetric matrices;Size measurement;Nonlinear cyber-physical systems;asynchronous event-triggered scheme;quantization;finite-time control | Issue Date: | 2023 | Publisher: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Journal Volume: | 11 | Start page/Pages: | 135645-135658 | Source: | IEEE ACCESS | Abstract: | This study examines the finite-time event-triggered control (ETC) problem for nonlinear switched cyber-physical systems (NSCPSs) by using an asynchronous switching strategy. An ETC scheme, along with a measurement size reduction technique, has been implemented to decrease network communication burden and redeem network resources. Data quantization is also another efficient method for reducing the amount of transmitted data via networks. Meanwhile, asynchronous phenomena among ETC instants are studied, which is much more realistic and difficult in the system under consideration. The prime intent of this research is to enhance the asynchronous event-triggered control (AETC) technique to guarantee the resulting closed-loop NSCPS is finite-time bounded (FTB) and prespecified mixed H-infinity and passive performance index $\gamma $ in the finite-time horizon. A novel set of required conditions in the form of linear matrix inequalities (LMIs) is enhanced using the Lyapunov-Krasovskii functional (LKF) theory, ensuring that the FTB criterion is met. Furthermore, the gains are acquired by solving a group of LMIs. Ultimately, a numerical illustration is provided, showcasing the efficaciousness and practicality of the developed control strategy through a real-world application known as the vertical take-off and landing helicopter model (VTOLHM). |
URI: | http://scholars.ntou.edu.tw/handle/123456789/24607 | ISSN: | 2169-3536 | DOI: | 10.1109/ACCESS.2023.3337814 |
Appears in Collections: | 電機工程學系 |
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