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Systems
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Selected Papers from the 42nd Chinese Control Conference (CCC 2023)
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Selected Papers from the 42nd Chinese Control Conference (CCC 2023)

A special issue of Systems (ISSN 2079-8954).

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2460

Special Issue Editors

Dr. Tong Yang

E-Mail Website
Guest Editor
Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Nankai University, Tianjin 300350, China
Interests: motion control; robot control; motion/trajectory planning; dynamics analysis and control of underactuated systems
Special Issues, Collections and Topics in MDPI journals
Dr. He Chen

E-Mail Website
Guest Editor
School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China
Interests: robotics; underactuated systems; cranes; wheeled mobile robots; constrained control
Special Issues, Collections and Topics in MDPI journals
Dr. Yinan Wu

E-Mail Website
Guest Editor
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
Interests: atomic force microscopy; piezoelectric actuator; micro robot; modeling and identification; nonlinear control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Regarding the real requirements of system theories and production technologies, it is necessary to design advanced control methods (including perception, decision-making, control, etc.) to promote the development of systems engineering management, systems-based project planning, intelligent planning, transportation systems, digital systems, etc. Here, to show the latest theoretical and technological achievements, the 42nd China Control Conference (CCC2023) will be held in Tianjin on 24–26 July 2023. Initiated by the Professional Committee of Control Theory (TCCT) of the Chinese Society of Automation, CCC has become an international academic conference in the field of control theory and technology.

This Special Issue of Systems aims to invite domestic and foreign researchers in the fields of systems, control, and automation, to submit original quality studies and share the latest achievements in system theory and technology applications based on CCC 2023. We believe that this special issue will contribute to a practical and comprehensive forum for exchanging novel research ideas or empirical practices. Topics include, but are not limited to:

  • System theory and control theory;
  • Nonlinear system and control;
  • Complexity and complex system theory;
  • Distributed parameter system;
  • Stability and stabilization;
  • Random system;
  • System modeling and identification;
  • Hybrid system and discrete event dynamic system;
  • Optimal control;
  • Adaptive control and learning control;
  • Motion control;
  • Signal processing and information fusion;
  • Control of network system and network control system;
  • System engineering theory and technology;
  • Neural network and deep learning.

You may choose our Joint Special Issue in Machines.

Dr. Tong Yang
Dr. He Chen
Dr. Yinan Wu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • system modeling
  • control theory
  • nonlinear system and control
  • optimization and planning

Published Papers (1 paper)

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Research

16 pages, 1743 KiB  
Article
Ethics and Cooperative Optimization Scheme for CAVs with Velocity-Prioritized Emergency Vehicles at Signal-Free Intersections
by Kaiyuan Chen, Bikang Hua, Miao Wang, Huatang Zeng, Senchun Chai and Wannian Liang
Systems 2023, 11(12), 564; https://doi.org/10.3390/systems11120564 - 30 Nov 2023
Viewed by 1203
Abstract
This study investigates collaborative route mapping for a collection of connected automated vehicles (CAVs) traversing multi-lane pathways, with a particular emphasis on intersections without traffic signals. A distinctive feature of our research is the prioritization of emergency vehicles, such as ambulances and fire [...] Read more.
This study investigates collaborative route mapping for a collection of connected automated vehicles (CAVs) traversing multi-lane pathways, with a particular emphasis on intersections without traffic signals. A distinctive feature of our research is the prioritization of emergency vehicles, such as ambulances and fire engines, according to their velocity demands. Additionally, a comprehensive analysis of the ethical ramifications of implementing such a prioritised system is engaged, while it is notable that in most of the existing studies, the ethical evaluation of intelligent transportation modalities is neglected. From a technical aspect, trajectories for CAVs in current models tend to be either inflexible or congruent with the collective formation of the fleet. Concurrently, the pre-set velocities for CAVs frequently demonstrate a lack of adaptability, which impedes cohesive operation. Moreover, there exists a pronounced deficiency in catering to the prioritization needs of emergency vehicles within these models. The current research endeavours to address these shortcomings by formulating the intersection management as an optimal control problem (OCP). This formulation enables CAVs to modulate their velocities in response to practical objectives, sidestepping fixed lane regulations at junctions. The control framework also encompasses autonomous vehicles of diverse sizes and velocities. An Adaptive Stepwise Optimization (ASO) methodology is proposed to augment the efficacy of the OCP resolution. Full article
(This article belongs to the Special Issue Selected Papers from the 42nd Chinese Control Conference (CCC 2023))
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