非光滑动力学和最优控制的教程问题:跳台滑雪和不踩踏板加速自行车

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-23 DOI:10.1109/LCSYS.2024.3521556
Julian Golembiewski;Timm Faulwasser
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引用次数: 0

摘要

非光滑现象,如突变、冲击和切换行为,经常出现在现实系统中,对传统的最优控制方法提出了重大挑战,传统的最优控制方法通常假设平滑和可微。这些现象在模拟和优化中都引入了数值挑战,突出了对专门解决方法的需求。尽管各种各样的应用程序和测试问题已经在文献中被记录下来,但许多问题要么过于简化,要么过于复杂,要么狭隘地关注于特定的领域。在这张画布上,这封信提出了两个新颖的教程问题,它们在概念上都是可访问的,并且允许进一步扩展问题难度。第一个问题的特征是一个简单的跳台滑雪模型,其特征是状态依赖的跳跃和在撞击表面上的滑动运动。该系统不涉及控制输入,可作为模拟非光滑动力学的试验台。第二个问题考虑一种特殊类型的自行车模型的最优控制。这个问题的灵感来自于在小轮车和山地自行车中观察到的实用技术,在这些技术中,骑手通过策略性地改变他们的质心来响应赛道的坡度,从而在不踩踏板的情况下加速自行车。
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Tutorial Problems for Nonsmooth Dynamics and Optimal Control: Ski Jumping and Accelerating a Bike Without Pedaling
Nonsmooth phenomena, such as abrupt changes, impacts, and switching behaviors, frequently arise in real-world systems and present significant challenges for traditional optimal control methods, which typically assume smoothness and differentiability. These phenomena introduce numerical challenges in both simulation and optimization, highlighting the need for specialized solution methods. Although various applications and test problems have been documented in the literature, many are either overly simplified, excessively complex, or narrowly focused on specific domains. On this canvas, this letter proposes two novel tutorial problems that are both conceptually accessible and allow for further scaling of problem difficulty. The first problem features a simple ski jump model, characterized by state-dependent jumps and sliding motion on impact surfaces. This system does not involve control inputs and serves as a testbed for simulating nonsmooth dynamics. The second problem considers optimal control of a special type of bicycle model. This problem is inspired by practical techniques observed in BMX riding and mountain biking, where riders accelerate their bike without pedaling by strategically shifting their center of mass in response to the track’s slope.
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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