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Updated: Jun 21, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
Event-triggered fuzzy logic control for an uncertain robot with coupled output constraints
Yuncheng Ouyang1, Zihao Ding1, Yanxu Su1
1School of Artificial Intelligence, the Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, and Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology, Anhui University, Hefei, China.
Abstract:
This paper investigates the trajectory-tracking problem of an uncertain robotic system subject to coupled output constraints. A decoupling approach is introduced to convert the coupled constraints into independent time-varying constraints on the transformed output coordinates. Based on this decoupling, a partial controller is developed using a time-varying barrier Lyapunov function (TVBLF) to enforce constraint satisfaction. In addition, fuzzy logic systems (FLSs) are employed to approximate the uncertain dynamics caused by unknown system parameters. To reduce unnecessary state transmissions and controller updates, a state-based event-triggered mechanism (ETM) is incorporated without significantly degrading tracking performance. A Lyapunov-based stability analysis is further provided to establish the feasibility of the proposed method. Finally, simulation results validate the effectiveness of the developed control scheme.
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