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Point stabilization of two-wheeled vehicle based on machine learning

机译:基于机器学习的两轮车点稳定

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摘要

The configuration of a two-wheeled vehicle, such as a Segway, involves non-holonomic constraints, and thus it cannot be stabilized by continuous and time-invariant state feedback. Because of the nonlinear nature of the nonholonomic constraints, the realization of a model predictive control (MPC) algorithm for this class of vehicles is a difficult task.
机译:两轮车的配置(例如Segway)涉及非完整的约束,因此无法通过连续且时不变的状态反馈来使其稳定。由于非完整约束的非线性性质,针对此类车辆的模型预测控制(MPC)算法的实现是一项艰巨的任务。

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