Related Experiment Video
Updated: Mar 17, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
Published on: August 15, 2020
Event-triggered H∞ control for T-S fuzzy nonlinear systems and its application to truck-trailer system
Jun Cheng1, Ju H Park2, Hailing Wang3
1School of Science, Hubei University for Nationalities, Enshi, Hubei 445000, PR China; Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 38541, Republic of Korea.
Abstract:
This paper addresses the problem of event-triggered H∞ control for a class of T-S fuzzy nonlinear systems. An improved event-triggered scheme (ETS) characterized by discrete sampling is proposed, where the time-derivative of the membership function is not required. To get conservative conditions, the deviation bound of asynchronous normalized membership functions is considered. By utilizing the non-quadratic fuzzy line-integral Lyapunov functions and a free-matrix-based integral inequality, novel criteria for stabilization analysis of T-S fuzzy nonlinear systems are established. Finally, a truck-trailer system is provided to show the effectiveness of the proposed theories.
Related Concept Videos
Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Multi-input and Multi-variable systems
In the absence of...
Control Systems
At the heart...
Time-Domain Interpretation of PD Control
Consider the example of control of motor torque. Initially, a positive...
Transient and Steady-state Response
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
Transfer Function in Control Systems
To derive the transfer function, consider a general nth-order linear time-invariant...
