平行控制与数字孪生：经典控制理论的回顾与重铸

王飞跃

doi:10.11959/j.issn.2096-6652.202032

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平行控制与数字孪生：经典控制理论的回顾与重铸

学术论文 | 更新时间：2024-06-05

- 平行控制与数字孪生：经典控制理论的回顾与重铸
- Parallel control and digital twins:control theory revisited and reshaped
- 智能科学与技术学报 2020年2卷第3期页码：293-300
- 作者机构：
  
  1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  2. 中国科学院大学，北京100049
  3. 青岛智能产业技术研究院，山东青岛 266109
- 作者简介：
  
  [ "王飞跃（1961- ），男，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任，中国科学院大学中国经济与社会安全研究中心主任，青岛智能产业技术研究院院长，主要研究方向为平行系统的方法与应用、社会计算、平行智能以及知识自动化" ]
- 基金信息：
  
  国家自然科学基金项目(61533019);国家自然科学基金项目;The National Natural Science Foundation of China(U1811463)
- DOI：10.11959/j.issn.2096-6652.202032
  中图分类号： TP13
- 网络出版日期：2020-09，
  
  纸质出版日期：2020-09-20
- 稿件说明：
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王飞跃. 平行控制与数字孪生：经典控制理论的回顾与重铸[J]. 智能科学与技术学报, 2020,2(3):293-300.

Fei-Yue WANG. Parallel control and digital twins:control theory revisited and reshaped[J]. Chinese journal of intelligent science and technology, 2020, 2(3): 293-300.
王飞跃. 平行控制与数字孪生：经典控制理论的回顾与重铸[J]. 智能科学与技术学报, 2020,2(3):293-300. DOI： 10.11959/j.issn.2096-6652.202032.

Fei-Yue WANG. Parallel control and digital twins:control theory revisited and reshaped[J]. Chinese journal of intelligent science and technology, 2020, 2(3): 293-300. DOI： 10.11959/j.issn.2096-6652.202032.

摘要

简要回顾经典控制、智能控制、平行控制的起源与发展，针对具有高精度数字孪生模型的情况，给出相应的平行控制数学形式，并讨论其意义和应用。中心思想是对控制向量的时间导数进行建模，而不是对控制向量本身进行建模，由基于代数关系的控制变为基于微分方程的控制，从而使控制系统与被控系统在数学形式和内容上完全等价，为控制器的拟人化和智能化奠定基础。同时，采用同样思想得出的主动感知的平行传感方程，为智能平行传感器的设计提供了可能的方向。初步分析表明，这一变革具有重要意义，十分适合云边计算范式，值得进行深入探索和研究。

Abstract

After a brief discussion of the origin and development of classic control

intelligent control

and parallel control

the mathematical equations for a class of parallel control systems was presented for problems with high precision digital twin models.The key idea was modeling the time derivative of system control instead of system control itself

which leads to differential equation based control rather than algebraic relationship based control

made the system and its control symmetrical in both form and content mathematically

thus provided the foundation for implementing human-like control and intelligent control.Same idea was also applied to system output equations

and proposed a new way for active sensing and design of parallel sensors.Preliminary results along those lines are illustrated and discussed.

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Keywords

references

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