Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
2.9
Journals
Electronics
Special Issues
Networked Robotics and Control Systems
share announcement

Networked Robotics and Control Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 3978

Special Issue Editors

Dr. Yang Zhu

E-Mail Website
Guest Editor
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
Interests: theory of control, optimization, and learning with applications in robotics; intelligent transportation systems
Dr. Jie Tao

E-Mail Website
Guest Editor
1. The School of Automation, Guangdong University of Technology, Guangzhou 510006, China
2. Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangzhou 510006, China
Interests: networked control; mobile robots; unmanned aerial vehicle; UAV
Dr. Meng Zhang

E-Mail Website
Guest Editor
Faculty of Electronic and Information Engineering, School of Automation Science and Engineering, Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an 710049, China
Interests: cyber-physical systems; smart grid optimization and security; nonlinear control system; mobile robots

Special Issue Information

Dear Colleagues,

Taking advantage of efficient data sharing among controllers and fusing global information, networked control systems (NCSs) are able to make intelligent decisions, performing complex tasks over large physical spaces. Large-scale NCSs has found widespread applications in practice, such as networked robotics. This technology enables multiple robots, connected via wireless networks and operated by distributed algorithms, to move in formation and be controlled in collaboration. The study of networked control systems and robotics is an active field, with many theoretical and practical ongoing problems that are worthy of investigation, such as distributed control and optimization of large-scale interconnected NCSs, cooperative control and distributed estimation of multi-robot systems, control and optimization of networked systems under diverse constraints including communication, actuating and sensing, etc.

We invited for scientists, engineers and practitioners to submit their original theoretical and practical contributions to this Special Issue. This may be on subjects such as networked control systems, as well as multi-agent systems with applications in various large-scale robotic plants including unmanned ground vehicles, unmanned aerial vehicles, autonomous underwater vehicles, as well as cyber-physical systems, smart grids, etc. The SI’s focus will be on advanced and original research on topics including, but not limited to:

  • NCSs (and large-scale NCSs) with various kinds of constraints such as packet dropouts, time-delay in data transmission, communication protocol, event-triggered mechanism.
  • Cooperative control of multi-agent systems with applications to multi-robots including unmanned ground vehicles (UGVs), unmanned aerial vehicles (UAVs), autonomous underwater vehicles (AUVs), automatic guided vehicles (AGVs).
  • Distributed control and optimization theories (nonlinear control, adaptive control, robust control, model predictive control, etc.) of networked control systems and networked robotics.
  • Path planning, navigation, localization, mapping of networked multi-robot systems.

Dr. Yang Zhu
Dr. Jie Tao
Dr. Meng Zhang
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. Electronics is an international peer-reviewed open access semimonthly 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

  • networked control systems
  • networked robotics
  • unmanned ground vehicles
  • unmanned aerial vehicles
  • autonomous underwater vehicles
  • automatic guided vehicles
  • multi-agent systems
  • cyber-physical systems
  • smart grids
  • nonlinear control

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

24 pages, 7362 KiB  
Article
A Novel Distributed Adaptive Controller for Multi-Agent Systems with Double-Integrator Dynamics: A Hedging-Based Approach
by Atahan Kurttisi, Kadriye Merve Dogan and Benjamin Charles Gruenwald
Electronics 2024, 13(6), 1142; https://doi.org/10.3390/electronics13061142 - 20 Mar 2024
Viewed by 500
Abstract
In this paper, we focus on designing a model reference adaptive control-based distributed control law to drive a set of agents with double-integrator dynamics in a leader–follower fashion in the presence of system anomalies such as agent-based uncertainties, unknown control effectiveness, and actuator [...] Read more.
In this paper, we focus on designing a model reference adaptive control-based distributed control law to drive a set of agents with double-integrator dynamics in a leader–follower fashion in the presence of system anomalies such as agent-based uncertainties, unknown control effectiveness, and actuator dynamics. In particular, we introduce a novel hedging-based reference model with second-order dynamics to allow an adaptation in the presence of actuator dynamics. We show the stability of the overall closed-loop multi-agent system by utilizing the Lyapunov Stability Theory, where we analyze the stability condition by using the Linear Matrix Inequalities method to show the boundedness of the reference model and actuator states. Finally, we illustrate the efficacy of the proposed distributed adaptive controller on an undirected and connected line graph in five cases. Full article
(This article belongs to the Special Issue Networked Robotics and Control Systems)
►▼ Show Figures

Figure 1

14 pages, 630 KiB  
Communication
Decentralized Predictor Stabilization for Interconnected Networked Control Systems with Large Uncertain Delays and Event-Triggered Input
by Yang Zhu, Meng Zhang and Qiang Jiang
Electronics 2024, 13(5), 819; https://doi.org/10.3390/electronics13050819 - 20 Feb 2024
Viewed by 542
Abstract
In this article, we propose a control scheme with predictors in a decentralized manner for coupled networked control systems (NCSs) under uncertain, large time-delays and event-triggered inputs. The network-induced delays are handled via the prediction; thus, the delay value is allowed to be [...] Read more.
In this article, we propose a control scheme with predictors in a decentralized manner for coupled networked control systems (NCSs) under uncertain, large time-delays and event-triggered inputs. The network-induced delays are handled via the prediction; thus, the delay value is allowed to be large, and the burden of the network is relieved by the event-triggered input. Two methods are employed to deal with the large delay issue: the state and output feedback. When the state of each subsystem is measurable, full-state feedback is used, whereas when the plant state cannot be measured, output feedback is employed with the help of an observer, which is more common in practice. Instead of treating the interactive plants like a global system, the exponential stability of the coupled systems, under decentralized predictors with asynchronous sampled-data feedback, is analyzed in a decentralized way. Finally, the proposed methods are verified via an example of three interconnected cart–pendulum systems, while such systems would not be stabilizable by the traditional approach when the network-induced delays are relatively large. Full article
(This article belongs to the Special Issue Networked Robotics and Control Systems)
►▼ Show Figures

Figure 1

23 pages, 666 KiB  
Article
Discrete-Time Adaptive Control for Uncertain Scalar Multiagent Systems with Coupled Dynamics: A Lyapunov-Based Approach
by Islam A. Aly and Kadriye Merve Dogan
Electronics 2024, 13(3), 524; https://doi.org/10.3390/electronics13030524 - 27 Jan 2024
Viewed by 535
Abstract
Discrete-time architectures offer a distinct advantage over their continuous counterparts, as they can be seamlessly implemented on embedded hardware without the necessity for discretization processes. Yet, because of the difficulty of ensuring Lyapunov difference expressions, their designs, which are based on quadratic Lyapunov-based [...] Read more.
Discrete-time architectures offer a distinct advantage over their continuous counterparts, as they can be seamlessly implemented on embedded hardware without the necessity for discretization processes. Yet, because of the difficulty of ensuring Lyapunov difference expressions, their designs, which are based on quadratic Lyapunov-based frameworks, are highly complex. As a result, various existing continuous-time results using adaptive control methods to deal with system uncertainties and coupled dynamics in agents of a multiagent system cannot be directly applied to the discrete-time context. Furthermore, compared to their continuous-time equivalent, discrete-time information exchange based on periodic time intervals is more practical in the control of multiagent systems. Motivated by these standpoints, in this paper, we first introduce a discrete-time adaptive control architecture designed for uncertain scalar multiagent systems without coupled dynamics as a preliminary result. We then introduce another discrete-time adaptive control approach for uncertain multiagent systems in the presence of coupled dynamics. Our approach incorporates observer dynamics to manage unmeasurable coupled dynamics, along with a user-assigned Laplacian matrix to induce cooperative behaviors among multiple agents. Our solution includes Lyapunov analysis with logarithmic and quadratic Lyapunov functions for guaranteeing asymptotic stability with both controllers. To demonstrate the effectiveness of the proposed control architectures, we provide an illustrative example. The illustrative numerical example shows that the standard discrete-time adaptive control in the absence of observer dynamics cannot guarantee the reference state vector tracking, while the proposed discrete-time adaptive control can ensure the tracking objective. Full article
(This article belongs to the Special Issue Networked Robotics and Control Systems)
►▼ Show Figures

Figure 1

18 pages, 3698 KiB  
Article
Cooperative Multitask Planning Strategies for Integrated RF Systems Aboard UAVs
by Hui Xue, Tao Zhang, Rui Wang and Xinghua Liu
Electronics 2023, 12(12), 2565; https://doi.org/10.3390/electronics12122565 - 6 Jun 2023
Viewed by 911
Abstract
Limited by the load capacity of UAVs, it is difficult for an integrated radio frequency (RF) system aboard a single platform to have both wide-area and comprehensive battlefield sensing capabilities. One possible approach to solve this dilemma is to use multiple UAVs to [...] Read more.
Limited by the load capacity of UAVs, it is difficult for an integrated radio frequency (RF) system aboard a single platform to have both wide-area and comprehensive battlefield sensing capabilities. One possible approach to solve this dilemma is to use multiple UAVs to perceive the scene cooperatively and simultaneously. To this end, this paper mainly discusses the cooperative task planning strategies facing cooperative UAVs with integrated RF systems when performing several tasks simultaneously. First, considering the complexity of the planning problem, the physical model for UAV formation cooperation is discussed. Then, based on the irregular and ad hoc characteristics of cooperative UAV networks, the essential compositions for UAVs cooperation are formulated that includes input information and planning constraints as well as evaluation indicators. Furthermore, to solve the given task planning problem, four new planning strategies are targeted designed for different planning purposes. Finally, a simulated cooperative UAV multitask planning scenario including cooperative detection, cooperative localization, and jamming is designed. Simulation results verify the effectiveness of these strategies as well as their advantages, disadvantages, and the multiscenario adaptability of each strategy. Full article
(This article belongs to the Special Issue Networked Robotics and Control Systems)
►▼ Show Figures

Figure 1

20 pages, 548 KiB  
Article
Similarity Measure for Interval Neutrosophic Sets and Its Decision Application in Resource Offloading of Edge Computing
by Qiong Liu, Xi Wang, Mingming Kong and Keyun Qin
Electronics 2023, 12(8), 1931; https://doi.org/10.3390/electronics12081931 - 19 Apr 2023
Viewed by 864
Abstract
Interval neutrosophic sets (INSs), characterized by truth, indeterminacy and falsity membership degrees, handle the uncertain and inconsistent information that commonly exists in real-life systems, and constitute an extension of the interval valued fuzzy set and interval valued intuitionistic fuzzy set. The existing works [...] Read more.
Interval neutrosophic sets (INSs), characterized by truth, indeterminacy and falsity membership degrees, handle the uncertain and inconsistent information that commonly exists in real-life systems, and constitute an extension of the interval valued fuzzy set and interval valued intuitionistic fuzzy set. The existing works on similarity measures for INSs are mostly constructed by distance measures and entropies. Meanwhile, the degree of similarity is expressed as a single number, even if the interval-valued information is considered. This may lead to a loss of interval-valued information. In order to cope with these issues, in this paper, we introduce a new approach to constructing the similarity measures for INSs using fuzzy equivalencies. First, based on fuzzy equivalencies and aggregation operators, the definition of interval-valued fuzzy equivalence is generalized to interval neutrosophic values. Then, based on the framework of INSs, we propose the definition and construction method of the similarity measure using the interval neutrosophic fuzzy equivalence. The similarity degree is expressed as an interval and could retain more information than ever before. In addition, according to practical situations, one can obtain different similarities by selecting the parameters in fuzzy equivalence. Due to the increase in edge computing, it is necessary to reasonably offload the client’s resource and assign them to the edge server to balance the resource usage. The Similarity measure is conductive to select and match the client and edge server. Finally, an illustrative example verifies that the proposed method can find a reasonable client and edge server, as well as effectiveness in the edge computing application. Full article
(This article belongs to the Special Issue Networked Robotics and Control Systems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop