ICCK

Guici Chen

Wuhan University of Science and Technology

Section 01

Academic Profile

Guici Chen received the B.S. Degree in information and Computation Science from Hunan University of Science and Technology, Xiangtan, China, in 2001, and the Ph. D. Degree in control science and engineering from Huazhong University of Science and Technology, Wuhan, in 2010. From August, 2016 to August, 2017, he was a Visiting Research Fellow of University of Kansas, Kansas, USA. He is currently a Professor with the Hubei Province Key Laboratory of Science in Metallurgical Process, Wuhan University of Science and Technology, Wuhan. His current research interests include complex networks, neural networks, fuzzy systems and finite-time control.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Free Access | Research Article | 02 June 2026
Observer-Based Event-Triggered Scheme for Finite-Time Control of Discrete-Time Linear Time-Varying Networked Control Systems
Journal of Nonlinear Dynamics and Applications | Volume 2, Issue 2: 108-118, 2026 | DOI: 10.62762/JNDA.2026.314876
Abstract
This article investigates the finite-time boundedness (FTB) problem for a class of observer-based discrete linear time-varying networked control systems (DLTNCSs). The interval matrix method (IMM) is adopted to handle the bounded time-varying coefficient via an uncertain convex-hull representation, and a maximum absolute value method (MAM) is also established to solve the time-varying coefficient for comparison. An observer-based event-triggered controller (ETC) is then developed, and sufficient linear matrix inequality (LMI) conditions are derived to obtain the admissible controller gain. Moreover, an implementable algorithm is provided for minimizing the energy consumption. Two numerical e... More >

Graphical Abstract
Observer-Based Event-Triggered Scheme for Finite-Time Control of Discrete-Time Linear Time-Varying Networked Control Systems