The impact of symmetry violations on determining optimal control trajectories for complex robotic systems

A. Kurnosov
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Abstract

Complex robotic systems, their properties, features and interactions are considered, the article offers the definition of a complex system on the basis of 5 properties: openness, non-morphic variability of three types (structural, spatial and information), Double-code, event aggregation and violation of physical symmetries. The influence of violations of physical symmetries on the determination of optimal control trajectories is reflected in the paradigm approach to the study of complex robotic systems that are not formalized as mathematical objects. The basic concepts, postulates and hypotheses are formulated. Ideal designs of variability of complex systems; energy causal sets; energies; events, causes, effects and evolution; spacetime, quanta and vacuum; interaction of individuals; operators of physical interactions, aggregated events, text and attachments of words. Three basic models for the study of complex systems - the model of physical interactions, the neurolinguistic model and the model of control at incomplete compatibility are proposed and briefly described. The structure of the kernel of the platform of physical simulation modeling for the researches of complex systems is resulted. Three types of space-time quantum modeling - minimal, semantic and evolutionary - are described. The article provides an illustration of results of application of the proposed approach to the study of actions of complex systems. It is noted that the resulting mathematical structure exhibits fractal properties. Typical trajectories of evolution - «homeostat»; «attenuation of actions»; «invariant»; «accident»; «window of possibilities» have been allocated. The article provides a number of principles of research of complex methodological and methodical systems. Recommendations were made on the scope of the proposed approach.
对称违反对复杂机器人系统最优控制轨迹确定的影响
综合考虑复杂机器人系统的性质、特征和相互作用,提出了复杂系统的5个特征:开放性、三种类型(结构、空间和信息)的非形态变异性、双码性、事件聚集性和违反物理对称性。违反物理对称性对确定最优控制轨迹的影响反映在研究未形式化为数学对象的复杂机器人系统的范式方法中。提出了基本概念、假设和假设。复杂系统变异性的理想设计能量因果集;能量;事件、原因、结果和演变;时空、量子和真空;个体的相互作用;物理交互、聚合事件、文本和单词附件的操作者。提出了复杂系统研究的三种基本模型:物理相互作用模型、神经语言学模型和不完全相容控制模型。给出了用于复杂系统研究的物理仿真建模平台的核心结构。描述了三种类型的时空量子建模——最小模型、语义模型和进化模型。本文提供了应用所提出的方法来研究复杂系统的作用的结果的说明。值得注意的是,所得的数学结构表现出分形性质。典型的进化轨迹-“自稳态”;“行动的衰减”;“不变”;“事故”;已经分配了“可能性之窗”。本文提供了一些研究复杂方法和方法系统的原则。就拟议办法的范围提出了建议。
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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