Modeling and Control of Distributed Complex Dynamic Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Automation Control Systems".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 4578

Special Issue Editor


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Guest Editor
School of Mechatronics Engineering, Nanjing Forestry University, Nanjing 210037, China
Interests: network control system; modeling and control; machine manufacturing; automation; total vehicle suspension system

Special Issue Information

Dear Colleagues,

Complex dynamic systems have been extensively studied in various areas such as networked control systems, power systems, ecosystems, safety and security systems and transportation networks. It should be noted that complex dynamic systems in practical application-oriented fields are usually composed of many subsystems, and each subsystem or component is widely distributed in the space, resulting in signal transmission via the network. Therefore, it is necessary to consider control input delay, network security and network bandwidth when modeling networked dynamic systems. In addition, nonlinearity, uncertainty and random disturbance can stimulate new problems in modeling complex dynamic control systems. This Special Issue provides a platform for researchers to present their latest investigation results on modeling approaches and techniques for the control of distributed complex dynamic systems, and to report critical issues and challenges for future research. Topics of interest include, but are not limited to, the following areas:

  • Novel and effective methods on modeling complex dynamic systems;
  • Stability analysis and stabilization strategies for complex dynamic systems;
  • Security control for networked complex dynamic systems;
  • Data-driven modeling, control and optimization for networked complex dynamic systems;
  • Model-based control design and verification for networked complex dynamic systems;
  • Analysis of decision optimization problems in complex processes;
  • Practical application-oriented system design for complex dynamic systems;
  • Modeling and control of complex dynamic systems with time delays.

Prof. Dr. Zhou Gu
Guest Editor

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Published Papers (2 papers)

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Research

22 pages, 3192 KiB  
Article
Modeling and Simulation Research of Interactive Public Opinion Evolution under Multi-Agent Interventions
by Hua Chen and Xinquan Zhao
Processes 2022, 10(7), 1379; https://doi.org/10.3390/pr10071379 - 14 Jul 2022
Cited by 10 | Viewed by 2395
Abstract
To study the interactive impact and multi-agent intervention effect caused by multiple public opinion events, a SI3R interactive public opinion communication model is proposed in this paper. Based on interactive public opinion evolution and influence paths of multi-agent interventions, the dynamic equation under [...] Read more.
To study the interactive impact and multi-agent intervention effect caused by multiple public opinion events, a SI3R interactive public opinion communication model is proposed in this paper. Based on interactive public opinion evolution and influence paths of multi-agent interventions, the dynamic equation under multi-agent intervention is formulated; the equilibrium points of the model are calculated and the stability of the model is validated; and the assignment functions are constructed. Further, real data of the case study are obtained and set as initial model simulation parameters, the multi-agent intervention and control measures are numerically simulated and the effects of comprehensive public opinion control are obtained and put forward to suggestions for public opinion management. Simulation results show that the model can simulate the interactive propagation and evolution trend of multiple public opinion events, and imitate the intervention effect of each agent. Compared with the traditional transmission and infection model, it provides an assignment method combined with actual events. Taking the interaction of multiple public opinion events and the effect of multi-agent intervention into account, a new perspective for the formulation of public opinion supervision and control strategies can be provided. Full article
(This article belongs to the Special Issue Modeling and Control of Distributed Complex Dynamic Systems)
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15 pages, 927 KiB  
Article
Adaptive Leader-Following Consensus Tracking Control of Multiple UAVs Subject to Deception Attacks
by Xiufeng Mu and Shen Yan
Processes 2022, 10(4), 757; https://doi.org/10.3390/pr10040757 - 13 Apr 2022
Cited by 2 | Viewed by 1796
Abstract
This article is concerned with the problem of leader-following consensus tracking control for multi-unmanned aerial vehicle (UAV) systems under deception attacks and actuator saturation. While guaranteeing the expected control performance, a novel adaptive event-triggered scheme (AETS) is developed to reduce the frequency of [...] Read more.
This article is concerned with the problem of leader-following consensus tracking control for multi-unmanned aerial vehicle (UAV) systems under deception attacks and actuator saturation. While guaranteeing the expected control performance, a novel adaptive event-triggered scheme (AETS) is developed to reduce the frequency of data transmission among UAVs and reduce the release of redundant data, where the adaptive threshold can be adjusted online according to the dynamic error instead of giving a default value. With the help of a new Lyapunov function, sufficient conditions and security criteria are developed to ensure that all following UAVs could reach secure consensus asymptotically with a leader UAV. Lastly, an illustrative example is presented to validate the effectiveness of the designed method. Full article
(This article belongs to the Special Issue Modeling and Control of Distributed Complex Dynamic Systems)
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