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Nonlinear Stabilizers in Optimal Control Problems with Infinite Time Horizon

机译:无限时间范围内最优控制问题中的非线性稳定器

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In optimal control problems with infinite time horizon, arising in models of economic growth, there are essential difficulties in analytical and even in numerical construction of solutions of Hamiltonian systems. The problem is in stiff properties of differential equations of the maximum principle and in non-stable character of equilibrium points connected with corresponding transversality conditions. However, if a steady state exists and meets several conditions of regularity then it is possible to construct a nonlinear stabilizer for the Hamiltonian system. This stabilizer inherits properties of the maximum principle, generates a nonlinear system with excluded adjoint variables and leads its trajectories to the steady state. Basing on the qualitative theory of differential equations, it is possible to prove that trajectories generated by the nonlinear stabilizer are close to solutions of the original Hamiltonian system, at least locally, in a neighborhood of the steady state. This analysis allows to create stable algorithms for construction of optimal solutions.
机译:在经济增长模型中出现的具有无限时间范围的最优控制问题中,在分析甚至是哈密顿系统解的数值构造中都存在着根本性的困难。问题在于最大原理的微分方程的刚性,以及与相应的横向条件相关的平衡点的不稳定特性。但是,如果存在稳定状态并满足若干规律性条件,则可以为哈密顿系统构造非线性稳定器。该稳定器继承了最大原理的特性,生成具有排除的伴随变量的非线性系统,并将其轨迹引导至稳态。基于微分方程的定性理论,有可能证明非线性稳定器产生的轨迹至少在稳态附近在局部附近接近原始哈密顿系统的解。该分析允许创建用于构建最佳解决方案的稳定算法。

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