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Bifurcation preserving discretisations of optimal control problems

机译:分叉保持最佳控制问题的拆别

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The first order optimality conditions of optimal control problems (OCPs) can be regarded as boundary value problems for Hamiltonian systems. Variational or symplectic discretisation methods are classically known for their excellent long term behaviour. As boundary value problems are posed on intervals of fixed, moderate length, it is not immediately clear whether methods can profit from structure preservation in this context. When parameters are present, solutions can undergo bifurcations, for instance, two solutions can merge and annihilate one another as parameters are varied. We will show that generic bifurcations of an OCP are preserved under discretisation when the OCP is either directly discretised to a discrete OCP (direct method) or translated into a Hamiltonian boundary value problem using first order necessary conditions of optimality which is then solved using a symplectic integrator (indirect method). Moreover, certain bifurcations break when a non-symplectic scheme is used. The general phenomenon is illustrated on the example of a cut locus of an ellipsoid.
机译:最佳控制问题(OCP)的第一阶最优性条件可被视为哈密顿系统的边值问题。变分或辛的离散方法是众所周知的长期行为所知的。由于边值问题在固定,中等长度的间隔内构成,因此在此上下文中,不立即清除方法是否可以从结构保存中获利。当存在参数时,解决方案可以经历分叉,例如,在参数变化时,两个解决方案可以将其彼此合并和湮灭。当OCP直接被离散地被离散(直接方法)或使用一顺订购必要条件,通过双翼而序的必要条件直接被离散地被离散(直接方法)或转换成哈密顿边界值问题时,将保留OCP的通用分叉。然后使用伴效求解积分器(间接方法)。此外,当使用非辛方案时,某些分叉断裂。在椭圆体的切割基因座的实例上示出了一般现象。

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