Non‐smooth monotonicity constraints in optimal control problems: Some economic applications

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
X. Ruiz del Portal
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引用次数: 0

Abstract

This paper presents a theorem on necessary conditions for optimal control problems containing monotonicity constraints that bear on a joint function of the control variable, the state variable, and the time. These constraints are often found, under continuity and piecewise smoothness assumptions for the endogenous variables of the problem, in various economic fields that include monopoly regulation, non‐uniform pricing, implicit contracts, and optimal taxation. After applying our theorem to a general incentive provision model, we show its usefulness in relaxing the standard continuity and smoothness assumptions, for the case of two screening problems among those that have received more attention in the literature. Copyright © 2010 John Wiley & Sons, Ltd.
最优控制问题中的非光滑单调约束:一些经济应用
本文给出了包含单调性约束的最优控制问题的必要条件定理,该最优控制问题与控制变量、状态变量和时间的联合函数有关。在问题内生变量的连续性和分段平滑假设下,这些约束经常在各种经济领域中被发现,包括垄断监管、非统一定价、隐性合同和最优税收。在将我们的定理应用于一般激励提供模型之后,我们证明了它在放宽标准连续性和平滑假设方面的有用性,对于文献中受到更多关注的两个筛选问题的情况。版权所有©2010 John Wiley & Sons, Ltd
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Optimal Control Applications & Methods
Optimal Control Applications & Methods 工程技术-应用数学
CiteScore
3.90
自引率
11.10%
发文量
108
审稿时长
3 months
期刊介绍: Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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