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2D Systems based Dynamic Iterative Learning Control Design with Experimental Validation on a 3D Crane Model ?

机译:基于2D系统的3D起重机模型具有实验验证的动态迭代学习控制设计

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Iterative learning control can be applied to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the control action for the next execution. This paper uses the 2D systems setting to design a dynamic controller, with particular emphasis on enhancing the controller with filters to suppress noise build up from execution to execution. The design is experimentally validated on a 3D crane laboratory based facility.
机译:迭代学习控制可以应用于重复执行相同有限持续时间任务的系统。这种控制动作形式的显着特征是,在任务的上一次执行中生成的所有数据都可用于计算下一次执行的控制动作。本文使用2D系统设置来设计动态控制器,尤其着重于增强具有过滤器的控制器,以抑制从执行到执行而产生的噪声。该设计已在基于3D起重机实验室的工厂进行了实验验证。

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