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Navigation of a non-holonomic vehicle for gradient climbing and source seeking without gradient estimation

机译:无需坡度估计的非完整车辆的导航,即可进行坡度爬升和源搜索

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We consider a single Dubins-like mobile vehicle traveling with a constant longitudinal speed in a planar region supporting an unknown field distribution. A single sensor provides the distribution value at the current vehicle location. We present a new sliding mode navigation strategy that drives the vehicle to the location where the field distribution attains its maximum. The proposed control algorithm does not employ gradient estimation and is non-demanding with respect to both computation and motion. Its mathematically rigorous analysis and justification are provided. Simulation results confirm the applicability and performance of the proposed guidance approach.
机译:我们考虑一种类似杜宾斯式的移动车辆,该车辆在支持未知场分布的平面区域中以恒定的纵向速度行驶。单个传感器提供当前车辆位置的分配值。我们提出了一种新的滑模导航策略,该策略可将车辆驱动到场分布达到最大值的位置。所提出的控制算法不采用梯度估计,并且在计算和运动方面都是非要求的。提供了其严格的数学分析和论证。仿真结果证实了所提出的指导方法的适用性和性能。

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