Article
Automation & Control Systems
Hong Xia, Mengtao Cao, Ziqiang Xu
Summary: This article presents a novel distributed protocol for event-triggered bipartite tracking consensus under asynchronous sampling conditions, and it demonstrates that bipartite consensus can be achieved with appropriate control parameter selection. Theoretical results are verified through numerical simulations.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Can Ke, Chuandong Li, Le You
Summary: This article investigates the consensus problem of nonlinear multiagent systems with grouping via state-constraint impulsive protocols. A judgement strategy and two types of impulsive control protocols are proposed to reduce communication cost and equipment damage. Sufficient conditions are established using algebraic graph theory, Lyapunov stability theory, and matrix theory to solve the consensus problem in the nonlinear multiagent systems.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Kuo Li, Chang-Chun Hua, Xiu You
Summary: This article addresses the distributed asynchronous consensus problem for nonlinear multiagent systems with switching topologies. A distributed asynchronous switched observer and output feedback distributed controller are developed for each follower, ensuring all agents achieving a consensus. Compared with existing research, the proposed method considers more conditions of topologies and provides a new approach to solve the problem.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Guanglei Zhao, Changchun Hua, Xinping Guan
Summary: This article investigates the consensus problem of multiagent systems using the reset control approach. A novel reset element and time regularization method are proposed to handle the reset-induced state jump dynamics. The results demonstrate that the distributed proportional integral + reset consensus protocol can relax the requirement for continuous communication and clock synchronization, effectively solving the consensus problem of MASs.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Wencheng Zou, Xiao Wen, Jian Guo, Zhengrong Xiang
Summary: This paper investigates the finite-time consensus for second-order multiagent systems under directed networks. Two novel protocols are developed using the reference trajectory-based method for the leader-follower and leaderless cases, respectively. By these protocols, the relative state errors among agents can converge to the origin within a finite time, even in the presence of unknown parameters and unbounded nonlinear terms in agents' dynamics.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Civil
Sheng Han, Hong Zhu, Qishui Zhong, Kaibo Shi, Oh-Min Kwon
Summary: This paper studies the secure sampled-data consensus of multi-agent systems (MASs) under asynchronous independent deception attacks and multiplicative control gain disturbances. It proposes a looped Lyapunov-Krasovskii functional (LKF) approach and a coupled memory-based sampled-data control scheme to ensure the system's performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Diego Deplano, Mauro Franceschelli, Alessandro Giua
Summary: In this article, two distributed control protocols are proposed to solve the dynamic consensus problem on the max value in discrete-time multiagent systems. The first protocol achieves bounded steady-state and tracking errors, while the second protocol achieves zero steady-state error. Modified versions of both protocols are provided to solve the dual dynamic min-consensus problem. These protocols are then applied to solve a distributed size estimation problem in a dynamic setting with anonymous agents.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Multidisciplinary
Lei Shi, Lulu Chen, Yuhua Cheng
Summary: The study focuses on the problem of bipartite consensus in high-order MASs subject to asynchronous communications, establishing algebraic graph conditions and developing a strategy for selecting feasible gain parameters to achieve bipartite consensus. An illustrative example demonstrating the achievement of asynchronous bipartite consensus is provided.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Haibo Gu, Kexin Liu, Jinhu Lu, Zhang Ren
Summary: This article addresses mean square consensus problems for stochastic dynamical nonlinear MASs in directed networks by designing proportional-integral (PI) protocols. By constructing appropriate Lyapunov functions, utilizing stochastic analysis technique and LaSalle's invariant principles, sufficient conditions are derived under which the stochastic dynamical MASs achieve consensus in mean square. Numerical simulations are presented to illustrate the validity of the main results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Wenchao Huang, Yuhan Tu, Tiantian Liu, Hailin Liu, Binbin Tian, Yanwei Huang, Shaobin Chen
Summary: This paper investigates the leader-following consensus of linear heterogeneous multiagent systems. The communicating topologies among agents are assumed to switch stochastically and driven by a continuous-time discrete-state Markov process. A novel distributed adaptive compensator is designed to reconstruct the exogenous signals for the followers, and sufficient conditions are given for the compensator to converge to the dynamic of the leader in the mean square sense. The consensus problem is solved using distributed state and measurement output feedback control schemes under output regulation framework, allowing followers with nonidentical state dimensions. The theoretical results are demonstrated through a numerical example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Bo Wei, Feng Xiao
Summary: This paper discusses the consensus issue in linear multiagent systems using nonlinear couplings. It demonstrates that consensus can be achieved with nonlinear couplings as long as the coupling strength surpasses a threshold, which is dependent on the smallest nonzero eigenvalue of the interaction graph Laplacian. Additionally, an adaptive coupling protocol is proposed to adjust the coupling strength without the need for global information, with numerical simulations confirming the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Sen Li, Jihao Zhao, Xiaohua Ding
Summary: This article addresses the quasi-sure consensus problem for multiagent systems (MASs) in the context of denial-of-service (DoS) attacks. Instead of adopting the conventional noise-based protocols driven by Brownian motion, a novel G-noise communication protocol is proposed. The protocol considers time-varying and nonlinear characteristics and focuses on DoS attacks. A new theoretical framework is established to develop a consensus criterion, utilizing the Lyapunov method, graph theory, and stochastic analysis theory. The theoretical results are associated with islanded microgrid systems with numerical simulation.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Computer Science, Information Systems
Na Lin, Qiang Ling
Summary: In this article, the event-triggered consensus problem for general linear multiagent systems with bounded communication network delay is investigated. Dynamic periodic event-triggering strategies are proposed to reduce the communication frequency, and a distributed adaptive consensus protocol is designed based on these strategies. The effectiveness of the proposed event-triggered consensus protocols is verified through numerical examples.
IEEE SYSTEMS JOURNAL
(2023)
Article
Automation & Control Systems
Bilal J. Karaki, Magdi S. Mahmoud
Summary: This paper focuses on leader-following and leaderless consensus problems in discrete-time multiagent systems. It proposes a distributed observer-based consensus protocol and a modified distributed event-triggered consensus protocol to reduce communication congestion. By utilizing graph and control theory approach, sufficient conditions are obtained, and detailed analysis of leaderless and leader-following consensus is presented for both observer-based and full-information protocols. Two simulation examples are provided to demonstrate the effectiveness of the established theories.
IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
(2021)
Article
Automation & Control Systems
Hao Jiang, Wei Su, Ben Niu, Huanqing Wang, Jiaming Zhang
Summary: This paper proposes a method to address the problem of adaptive consensus tracking control for distributed nonlinear multi-agent systems with unmodeled dynamics. The design difficulties caused by unknown nonlinearities and unmodeled dynamics are overcome by applying the inherent property of radial basis function neural networks and the introduced dynamics signals. Based on adaptive backstepping methods, a new consensus tracking control protocol is proposed. Simulation results demonstrate the effectiveness of the proposed control protocol.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Antonio Petitti, Donato Di Paola, Annalisa Milella, Adele Lorusso, Roberto Colella, Giovanni Attolico, Massimo Caccia
IEEE INTELLIGENT SYSTEMS
(2016)
Article
Computer Science, Artificial Intelligence
C. Patruno, M. Nitti, A. Petitti, E. Stella, T. D'Orazio
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2019)
Article
Agriculture, Multidisciplinary
Annalisa Milella, Roberto Marani, Antonio Petitti, Giulio Reina
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2019)
Article
Automation & Control Systems
Antonio Franchi, Antonio Petitti, Alessandro Rizzo
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2019)
Article
Agriculture, Multidisciplinary
R. Marani, A. Milella, A. Petitti, G. Reina
Summary: This study investigates the use of deep learning frameworks for automated segmentation of grape bunches in color images from a consumer-grade RGB-D camera mounted on agricultural vehicles. A comparative study of four pre-trained network architectures is presented, showing that the novel strategy proposed improves the mean segmentation accuracy of deep neural networks by 2.10% to 8.04%. The VGG19 architecture achieves the best performance with a mean segmentation accuracy of 80.58% and IoU values for the bunch class of 45.64%.
PRECISION AGRICULTURE
(2021)
Review
Chemistry, Analytical
Laura Romeo, Antonio Petitti, Roberto Marani, Annalisa Milella
Review
Chemistry, Analytical
Grazia Cicirelli, Roberto Marani, Antonio Petitti, Annalisa Milella, Tiziana D'Orazio
Summary: In recent years, there has been a growing interest in the development of Active and Assisted Living (AAL) systems to address the challenges brought by the aging population from both economic and societal perspectives. AAL systems offer a range of solutions to improve quality of life and support independent living, requiring further research and investigation to understand its development trends and key issues.
Article
Computer Science, Information Systems
Annalisa Milella, Antonio Petitti, Roberto Marani, Grazia Cicirelli, Tiziana D'orazio
Article
Telecommunications
Giovanni Valecce, Gianfranco Micoli, Pietro Boccadoro, Antonio Petitti, Roberto Colella, Annalisa Milella, Luigi Alfredo Grieco
IET WIRELESS SENSOR SYSTEMS
(2019)
Proceedings Paper
Automation & Control Systems
Antonio Petitti, Annalisa Milella, Alessandro Rizzo
2019 18TH EUROPEAN CONTROL CONFERENCE (ECC)
(2019)
Article
Computer Science, Information Systems
Mauro Gaggero, Donato Di Paola, Antonio Petitti, Luca Caviglione
Proceedings Paper
Automation & Control Systems
Antonio Petitti, Antonio Coratelli, Donato Di Paola, Roberto Colella, Annalisa Milella, David Naso, Ettore Stella
2018 IEEE 14TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
(2018)
Article
Telecommunications
Giuseppe La Tona, Antonio Petitti, Adele Lorusso, Roberto Colella, Annalisa Milella, Giovanni Attolico
INTERNET TECHNOLOGY LETTERS
(2018)
Article
Telecommunications
Vito Scilimati, Antonio Petitti, Pietro Boccadoro, Roberto Colella, Donato Di Paola, Annalisa Milella, Luigi Alfredo Grieco
IET WIRELESS SENSOR SYSTEMS
(2017)
