Optimization of the closed-loop controller of a discontinuous capsule drive using a neural network

Research data connected to the following paper: Optimization of the closed-loop controller of a discontinuous capsule drive using a neural network.

In this paper, construction of a neural-network based, closed-loop control of a discontinuous capsule drive is analyzed. The foundation of the designed controller is an optimized open-loop control function. A neural network is used to determine the dependence between the open-loop controller’s output and the system’s state. Robustness of the neural controller with respect to variation of parameters of the controlled system is analyzed and compared with the original, optimized open-loop control. It is expected that the presented method can facilitate construction of closed-loop controllers of systems, for which other methods are not effective, such as non-smooth or discontinuous ones.

本数据集关联以下研究论文：《基于神经网络的非连续胶囊驱动闭环控制器优化》。

该论文分析了基于神经网络的非连续胶囊驱动闭环控制系统的构建方案。所设计控制器的核心基础为经优化的开环控制函数，通过神经网络建模开环控制器输出与系统状态间的依赖关系。研究针对神经控制器在被控系统参数波动下的鲁棒性展开分析，并与原始优化型开环控制方案进行对比。本文提出的方法可为其他方法难以适配的系统（如非光滑或非连续系统）构建闭环控制器提供可行路径。