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首页> 外文期刊>Journal of Guidance, Control, and Dynamics >Enhanced Collocation Method for Dynamical Systems Subject to Finite Set Control
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Enhanced Collocation Method for Dynamical Systems Subject to Finite Set Control

机译:受有限集控制的动力系统的增强配置方法。

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摘要

An enhanced optimizationmethod, rooted in direct collocation, is formulated to treat a specific class of continuous-rntime hybrid control systems; specifically, dynamical systems that depend on continuous state variables and spatiallyrndiscrete control variables. In this study, a spatially discrete control variable refers to one that is defined over therncontinuous-time domain yet is constrained to a range of discrete finite values. This subset of hybrid control systems isrntermed here as finite set control. Traditionally, optimal control for hybrid systems of this class is formulated in therncontext of mixed-integer nonlinear programming. The numerical efficiency of these methods, however, is adverselyrnaffected by the number of independent control variables and the range of the combined set. The methodologyrnpresented in this study focuses on this class of problems: multiple independent control variables, each with a uniquernrange and a switching schedule independent from the others. The resulting formulation leads to a morerncomputationally efficient nonlinear program suitable for the identification of optimal control solutions for this classrnof hybrid systems.
机译:建立了一种基于直接配置的增强型优化方法,以处理特定类别的连续时间混合控制系统。具体来说,动力学系统依赖于连续状态变量和空间离散控制变量。在本研究中,空间离散控制变量是指在连续时间域中定义但被限制为离散有限值范围的变量。混合控制系统的这个子集在这里被称为有限集控制。传统上,此类混合系统的最优控制是在混合整数非线性规划的背景下制定的。但是,这些方法的数值效率会受到独立控制变量数量和组合范围的不利影响。本研究中提出的方法论着重于这类问题:多个独立的控制变量,每个变量具有唯一的范围,并且切换时间表彼此独立。由此产生的公式导致了一种计算效率更高的非线性程序,该程序适合于识别该类混合系统的最优控制解决方案。

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