Solving some optimal path planning problems using an approach based on measure theory

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In this paper we solve a collection of optimal path planning problems using a method based on measure theory. First we consider the problem as an optimization problem and then we convert it to an optimal control problem by defining some artificial control functions. Then we perform a metamorphosis in the space of problem. In fact we define an injection between the set of admissible pairs, containing the control vector function and a collision-free path defined on free space and the space of positive Radon measures. By properties of this kind of measures we obtain a linear programming problem that its solution gives rise to constructing approximate optimal trajectory of the original problem. Some numerical examples are proposed.

论文关键词:Optimal path planning,Optimal control,Approximation theory,Measure theory,Linear programming

论文评审过程:Available online 22 March 2005.

论文官网地址:https://doi.org/10.1016/j.amc.2005.01.035