Event-Triggered Vibration Control of an Axially Moving Belt System With Output Constraint
研究了轴向运动带在输出约束、未知参数和高加减速下的渐近镇定问题，提出自适应事件触发控制策略，利用正切障碍李雅普诺夫函数确保状态满足时变约束，并通过边界控制实现渐近稳定。
This article explores the event-triggered asymptotic stabilization problem of an axially moving belt in the presence of output constraint, unknown system parameters, and high acceleration/deceleration (H-A/D). Instead of existing event-triggered control (ETC) schemes where only bounded stabilization can be obtained, adaptive event-triggered asymptotic stabilization control can be achieved in this article. For this, a new tangent barrier Lyapunov function (BLF) method is developed to ensure that the state satisfies its corresponding time-varying constraint conditions. Then, the unknown system parameter problems can be resolved by using the adaptive compensation technique. Considering the resource constraint of the communication channel and computation burden, a new ETC strategy is advanced to tackle the communication load and optimize system performance. Moreover, the asymptotic stabilization control can be realized through the developed boundary ETC. Lastly, simulation results are displayed to verify the designed boundary control algorithms.