Article
Automation & Control Systems
Tao Feng, Jilie Zhang, Yin Tong, Huaguang Zhang
Summary: This paper addresses the consensusability problem for single-input discrete-time multi-agent systems over directed graphs using the LQR design method. It is shown that the maximum consensus region corresponds to the largest gain margin of LQR, and the necessary and sufficient condition for consensusability is derived by solving an ARE. The developed framework allows solving the consensusability problem even when the agents' models are completely unavailable.
Article
Automation & Control Systems
Lina Rong
Summary: This article uses the H(infinity) optimization approach to study the consensusability margin optimization problems for distributed second-order sampled-data multiagent systems with communication uncertainties. The results show that the consensusability margin optimization problems can be determined by designing the network complementary sensitivity function matrices, and are independent of network topologies.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Review
Astronomy & Astrophysics
Ruilong Guo, Zuyin Pu, Xiaogang Wang, Chijie Xiao, Jiansen He
Summary: Magnetic reconnection is a universal phenomenon in various plasma environments and its three-dimensional characteristics and magnetic structures are of great importance. By analyzing and reconstructing Cluster data, the presence of magnetic nulls and the approximation of 2D features to 3D geometries have been identified. In three-dimensional separator reconnection, the 2D regimes of antiparallel and component reconnection can simultaneously occur.
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
(2022)
Article
Automation & Control Systems
Mustafa Sahin Turan, Liang Xu, Giancarlo Ferrari-Trecate
Summary: This paper investigates the consensusability of linear interconnected multiagent systems (LIMASs). A linear program is proposed as a sufficient condition, and several necessary and sufficient conditions are derived. The results show that weak physical couplings among subsystems and densely connected physical and communication graphs are favorable for consensusability.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Automation & Control Systems
Tao Feng, Jilie Zhang, Yin Tong, Huaguang Zhang
Summary: This paper addresses the consensusability and global optimality problems in discrete-time linear multiagent systems, proposing a unified framework and establishing sufficient and necessary conditions for consensusability. By examining the unstable eigenvalues of agent dynamics, bounds for the consensus region are derived. Through inverse optimal control approach, the achievement of globally optimal consensus is proven.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Geosciences, Multidisciplinary
Aleksandr Rubtsov, Olga S. Mikhailova, Pavel N. Mager, Dmitri Yu Klimushkin, Jie Ren, Qiu-Gang Zong
Summary: Global dayside observation of Pc4-5 wave during the late recovery phase of a magnetic storm revealed oscillations lasting for 15 hours, with wave appearance before substorm onset. Continuous observation showed that substorm injections did not affect wave behavior, and changes in wave parameters were caused by magnetospheric plasma recovery after the magnetic storm. The wave was identified as a second harmonic poloidal Alfven wave with high azimuthal wave number (|m| around 210), and coupled with 100 keV protons via drift-bounce resonance, with a large radial gradient of phase space density as an energy source for the wave.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Mathematics, Applied
Mei Luo, JinRong Wang, Donal O'Regan
Summary: Motivated by the mean-square bounded consensus problem with additive noise in multiagent systems, this paper investigates the joint influence of agent dynamic structure and communication topology on consensus. The necessary condition for mean-square bounded consensus is given under the output-based consensus protocol, which is also sufficient under certain conditions. Additionally, the upper bound on consensus is determined through the solution to the Lyapunov equation. Simulation results are provided to illustrate the theoretical findings.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Automation & Control Systems
Wei Chen, Zidong Wang, Derui Ding, Hongli Dong
Summary: This paper discusses the consensusability problem for discrete-time multi-agent systems using a binary encoding scheme for data transmission, considering the effects of random bit errors. By revealing statistical properties of quantization errors and random bit errors and deriving consensusability conditions, the paper provides sufficient conditions for achieving mean-square bounded consensus in different scenarios.
Review
Chemistry, Analytical
Abhijeet Redekar, Dipankar Deb, Stepan Ozana
Summary: This paper reviews the application of electric actuators in renewable energy systems, analyzing the functions and challenges of different types of actuators in various renewable applications, and proposing optimization opportunities and replacements.
Article
Astronomy & Astrophysics
Chao Shen, Chi Zhang, Zhaojin Rong, Zuyin Pu, Malcolm W. Dunlop, C. Philippe Escoubet, C. T. Russell, Gang Zeng, Nian Ren, James L. Burch, Yufei Zhou
Summary: The study presents a novel algorithm that can estimate the quadratic magnetic gradient and complete geometrical features of magnetic field lines with high accuracy. The algorithm's feasibility and accuracy have been verified through two demonstrations, showing successful application in exhibiting the geometrical structure of magnetic fields in space plasmas. This algorithm has wide applications for studying various magnetic configurations in space plasmas.
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
(2021)
Article
Engineering, Aerospace
Zhong Zhang, Nan Zhang, Zherui Chen, Fanghua Jiang, Hexi Baoyin, Junfeng Li
Summary: This paper investigates the global optimization of multispacecraft successive rendezvous trajectories and proposes two novel algorithms to solve the subproblems. The proposed method achieves state-of-the-art performance in fuel-optimal scenarios.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2023)
Review
Engineering, Multidisciplinary
QiuHua Gao, Han Yan, HongXiang Zou, WenBo Li, ZhiKe Peng, Guang Meng, WenMing Zhang
Summary: Magnetic levitation, utilizing diamagnetism, is a contact-free manipulation technique that has become increasingly popular in various applications. It offers passive stable levitation without energy input, allowing for the stable levitation of magnetic materials.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2021)
Article
Automation & Control Systems
Zijie Qin, Kun Liu, Xi Zhao
Summary: This paper proposes a control allocation strategy for distributed electronic propulsion (DEP) vertical take-off and landing (VTOL) aircraft. A prototype platform is designed to analyze and assess the effectiveness of this strategy. The proposed method utilizes a hierarchical structure and cascade generalized inversion (CGI) technique to handle redundant actuators and additional constraints, and introduces a smooth transition strategy. Simulation and flight experiments validate the effectiveness and smoothness of the proposed method.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Robotics
Kevin J. McDonald, Lorenzo Kinnicutt, Anna Maria Moran, Tommaso Ranzani
Summary: This study presents the use of electropermanent magnets (EPMs) to control the material properties of MR fluids, allowing for pressure modulation in soft actuators. The researchers demonstrate and quantify this control scheme, and successfully control the actuation of multiple-degree-of-freedom systems in both binary and fully-modulated manners, which is an important step towards the development of reprogrammable, autonomous soft robots.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Automation & Control Systems
Hui Peng, Meiping Wu, Huimin Lu, Junzheng Wang, Junhao Xiao, Yuan Huang, Dawei Shi
Summary: This article proposes a coordinated attitude control strategy for parallel electrical manipulators, which combines the distributed active disturbance rejection control (ADRC) framework with a consensus algorithm. The strategy solves the uncoordinated problem of electric actuators, compensates for disturbances, and achieves stable tracking performance.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Kobra Ghasemi, Jafar Ghaisari, Farzaneh Abdollahi
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2020)
Article
Computer Science, Information Systems
Hamed Rezaee, Farzaneh Abdollahi
IEEE SYSTEMS JOURNAL
(2020)
Article
Automation & Control Systems
Angelo Barboni, Hamed Rezaee, Francesca Boem, Thomas Parisini
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2020)
Article
Automation & Control Systems
Seiied Saeed Nasrolahi, Farzaneh Abdollahi, Hamed Rezaee
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2020)
Article
Acoustics
Mehdi Zamanian, Farzaneh Abdollahi, Seyyed Kamaleddin Yadavar Nikravesh
Summary: This article investigates the practical finite-time consensus for a class of heterogeneous multi-agent systems with unknown nonlinear dynamics and external disturbances. An event-triggered control approach is proposed to reduce system updates. Through the use of radial basis function neural network and Lyapunov criterion, the stability of the closed-loop system is analyzed, demonstrating the effectiveness of the proposed control scheme in achieving finite-time consensus.
JOURNAL OF VIBRATION AND CONTROL
(2021)
Article
Automation & Control Systems
Mehdi Zamanian, Farzaneh Abdollahi, Seyyed Kamaleddin Yadavar Nikravesh
Summary: This study addresses the adaptive finite-time consensus problem of heterogeneous multi-agent systems using sliding mode control and radial basis function neural network approximation for unknown dynamics terms, along with the application of an adaptive compensator plus dead-zone to overcome asymmetric input dead-zone. Stability analysis is conducted based on Lyapunov stability theory.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2022)
Article
Automation & Control Systems
Hamed Rezaee, Thomas Parisini, Marios M. Polycarpou
Summary: This research addresses the resilient consensus problem over a class of discrete-time linear multiagent systems, focusing on designing a control strategy for healthy agents to reach consensus despite malicious agents' attempts to prevent it. By developing a discrete-time protocol and imposing probabilistic conditions on interactions among agents, the study demonstrates almost sure consensus among healthy agents in the presence of stochastic links failure and communication noises.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Hamed Rezaee, Farzaneh Abdollahi
Summary: This article investigates the leaderless consensus problem over strict-feedback nonlinear multiagent systems with unknown model parameters and control directions. A novel adaptive leaderless consensus control scheme is proposed for strict-feedback nonlinear MASs with unknown and unidentical control directions, ensuring boundedness of agents' positions and achieving leaderless consensus through decentralized local error surfaces and Nussbaum-type functions in the backstepping adaptive control law. The effectiveness of the design is further demonstrated and evaluated via an example.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Mohamad Ramadan, Farzaneh Abdollahi
Summary: In this paper, a new approach based on Unknown Input Observer (UIO) and Luenberger observer is proposed to isolate sensor faults from replay attack in the presence of model uncertainties. The approach involves designing two groups of observers with watermarking signals added to the system inputs. The first group detects abnormalities by rebuilding the uncertainties using watermarking signals, while the second group uses a suitable UIO observer to treat watermarking signals as unknown inputs and remain resilient to replay attacks.
EUROPEAN JOURNAL OF CONTROL
(2023)
Article
Acoustics
Mehdi Zamanian, Farzaneh Abdollahi, Seyyed Kamaleddin Yadavar Nikravesh
Summary: This paper investigates the practical finite-time consensus problem of heterogeneous multi-agent systems with unknown nonlinear dynamics, asymmetric input dead zone, and external disturbances under directed topology. By applying adaptive neural networks and sliding mode control, the proposed protocol achieves consensus of the multi-agent systems in finite time and overcomes the effects of asymmetric input dead zone. The protocol is fully distributed and does not require global graph information beforehand.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Automation & Control Systems
Guitao Yang, Hamed Rezaee, Andrea Serrani, Thomas Parisini
Summary: The article proposes a state estimation methodology using a network of distributed observers. It utilizes sensor redundancy to provide robustness against faults and shows how to mitigate the effects of sensor faults on state estimation under suitable conditions.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Mohamad Ramadan, Farzaneh Abdollahi
Summary: This paper proposes a novel nonlinear observer-based approach to address the problem of isolating sensor faults and un-stealthy attacks in Lipschitz affine nonlinear systems. By introducing a dedicated observer scheme, a group of nonlinear observers is designed to detect abnormal behaviors, and adaptive threshold techniques are used to ensure the robustness of the method. The proposed approach is more efficient than existing results and does not require additional hardware components.
Proceedings Paper
Energy & Fuels
Hanieh Tabatabaei, Farzaneh Abdollahi, Heidar Ali Talebi
Summary: This study proposes a cooperative distributed controller for voltage regulation and reactive power-sharing in AC islanded MGs. The controller design incorporates a hierarchical two-layer communication network and a switching network with weak connectivity to ensure system stability and reliability.
2022 13TH POWER ELECTRONICS, DRIVE SYSTEMS, AND TECHNOLOGIES CONFERENCE (PEDSTC)
(2022)
