首页> 外文会议>17th IEEE International Conference on Smart Technologies >An overview of fastcinating ideas on complexity and complex networks and systems in computational cybernetics: Dedicated to Prof. Rudoplh E. Kalman, a giant of systems and control sciences, who past away on July 3, 2016: Jean Jacques Russeaux: “Who dares
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An overview of fastcinating ideas on complexity and complex networks and systems in computational cybernetics: Dedicated to Prof. Rudoplh E. Kalman, a giant of systems and control sciences, who past away on July 3, 2016: Jean Jacques Russeaux: “Who dares

机译:计算控制论中关于复杂性和复杂网络及系统的令人着迷的想法概述:致力于系统和控制科学的巨匠Rudoplh E. Kalman教授,他于2016年7月3日辞世:Jean Jacques Russeaux:“谁敢

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摘要

This paper is focused on exploring the fascinating ideas about complexity in systems science conjunction with the synergies of control, communication and computing via a certain overview. By no means attempts are made to give final answers on what the control of complex systems may comprise. Rather it is an essay-like exposition of personal visions of complexity and controlled complex network and systems from the viewpoint of computational cybernetics. Though, it is also dedicated to explore the issues of integrated control and supervision within their possible interplay over complex plant processes. The justification for continuing the adventure of investigating controlled complex systems from a standpoint of physics and not solely mathematics is found to emerge by itself inevitably. It has been found, the cybernetic physics of complex networks and systems as well as their feasible controls is an open exploration road towards many unknowns. The analysis framework is based on the set-theoretic approach to systems science from the perspective of Lyapunov stability theory being employed.
机译:本文的重点是通过一定的概述探索有关系统科学复杂性以及控制,通信和计算的协同作用的有趣观点。绝不尝试就复杂系统的控制可能包含的内容给出最终答案。相反,它是从计算控制论的角度对复杂性以及受控的复杂网络和系统的个人观点进行的类似散文的阐述。但是,它也致力于探讨在复杂工厂过程之间可能存在的相互作用中的集成控制和监督问题。人们发现,从物理学的角度而不是仅仅从数学的角度出发,继续探索受控复杂系统的冒险的理由是不可避免的。已经发现,复杂网络和系统的控制论物理学及其可行的控制方法是通往许多未知领域的开放探索之路。从使用的Lyapunov稳定性理论的角度来看,分析框架基于系统科学的集合论方法。

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