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Article
Computer Science, Information Systems
Wenyu Li et al.
Summary: This paper addresses the issue of containment control in multi-agent systems. A two-layer distributed control framework is proposed to handle external network attacks and internal actuator failures. In the network layer, an event-triggered impulsive control protocol is designed to handle deception attacks, providing robustness and reduced energy consumption. In the physical layer, a fault-tolerant controller is investigated to maintain stability considering multiplicative failures. The proposed control scheme is validated through numerical simulations.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Junjian Li et al.
Summary: This paper studies the event-triggered control scheme to address the position centroid bipartite consensus/formation issues of multiple wheeled mobile robots with non-holonomic constraint. The proposed control mechanism ensures convergence of robot positions to the initial bipartite centroid location while their orientations and velocities reach specified values. Simulation results confirm the effectiveness of the theoretical strategy.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Quan-Yong Fan et al.
Summary: This paper investigates the fuzzy cooperative reliable output regulation problem for heterogeneous nonlinear multi-agent systems with actuator faults under directed network topology. The paper proposes distributed finite-time estimators and observers to identify the dynamic matrix of the exosystem for each subsystem. A novel hierarchical mechanism is introduced to let each subsystem know its layer in the network, and a decentralized fuzzy resilient controller is developed based on the proposed finite-time observers. The effectiveness of the developed method is demonstrated through a simulation example.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Automation & Control Systems
Heng Liu et al.
Summary: This paper investigates the problem of robust fault-tolerant containment control for a class of multiagent systems with active leaders and follower subsystems with uncertainties and actuator faults. A distributed adaptive intermediate estimator and a decentralized fault-tolerant tracking control algorithm are proposed.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Automation & Control Systems
Yunbiao Jiang et al.
Summary: This paper proposes two distributed fault-tolerant consensus protocols for actuator bias faults, one for sudden faults and one for slowly varying faults, both of which can prescribe the transient and steady-state performance of the system.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Boyang Zhang et al.
Summary: This paper focuses on cooperative tracking control of multiple unmanned aerial vehicles with unknown faults, proposing a distributed adaptive fault tolerant scheme within a model predictive control framework. The fault detection strategy and fault tolerant model predictive control scheme effectively compensate for actuator and sensor faults, demonstrating their effectiveness through simulations.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Yingjiang Zhou et al.
Summary: This paper addresses the prescribed-time leader-following consensus problem of multi-agent systems with actuator saturation. A protocol is proposed to assign convergence time offline and solve the actuator saturation problem. A disturbance and actuator faults observer is designed for estimating the disturbance and actuator faults, with numerical simulations demonstrating the efficiency of the observer and controller.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Yu Shan et al.
Summary: A new fault tolerant control (FTC) strategy is proposed for linear systems with unknown inputs and actuator faults in this paper. The strategy involves designing reduced-order and interval observers, as well as developing an observer-based state feedback controller with fault compensation based on H-infinity index performance. Simulation results demonstrate the effectiveness of the proposed control strategy.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Engineering, Marine
Guoqing Zhang et al.
Summary: This paper investigates a novel robust adaptive fault-tolerant control algorithm for the path-following activity of the unmanned surface vehicle (USV) via the multiplied event-triggered mechanism. The improved event-triggered condition reduces the burden on the channel from sensors to the controller. Neural networks approximation is used to compensate model uncertainties and practical disturbance, ensuring semi-global uniformly ultimately bounded stability for the closed-loop system.
Article
Automation & Control Systems
Guodong You et al.
Summary: In this article, an adaptive fuzzy finite-time fault-tolerant control scheme is proposed for uncertain non-linear systems under sensor faults. The scheme solves the coupling between fault parameters and actual states using fault parameters separation method. Fuzzy logic system is utilized to approximate the unknown functions and an adaptive fault-tolerant controller is designed using backstepping technology. The effectiveness of the proposed scheme is verified through numerical and physical system simulations.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Automation & Control Systems
Shaoxin Sun et al.
Summary: The issue of fault detection and fault-tolerant control for a switched random nonlinear system with multiple delays is investigated in this work. The proposed method utilizes a dimensionally adjustable observer and controller to achieve the desired stability and performance. Numerical simulation and practical examples demonstrate the effectiveness and feasibility of the approach.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Information Systems
Meilin Li et al.
Summary: This paper investigates the consensus problem of multi-agent systems under event-triggered control with designable minimum inter-event time. The paper proposes novel control methods, including static event-triggered and dynamic event-triggered control algorithms, to reduce actuator consumption and guarantee state consensus. The superiority of the designed algorithms is demonstrated through simulations.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Ling Li et al.
Summary: This paper addresses the node-to-node consensus problem for multi-agent networks with leaders and followers layers using pinning control and an event-triggered mechanism, while also considering packet loss. It presents sufficient conditions for consensus based on M-matrix theory and Lyapunov stability theory, proving the exclusion of Zeno behavior. Numerical simulations are provided to demonstrate the effectiveness of the theoretical results.
ASIAN JOURNAL OF CONTROL
(2021)
Article
Automation & Control Systems
Meysam Yadegar et al.
Summary: This paper investigates an output feedback fault-tolerant control scheme for heterogeneous multi-agent systems, aiming to maintain system behavior after faults and disturbances. The proposed approach is independent of system mission and can be easily integrated with each agent's nominal controller. Simulation results demonstrate the effectiveness of the proposed FTC scheme.
ASIAN JOURNAL OF CONTROL
(2021)
Article
Automation & Control Systems
Nana Yang et al.
Summary: This paper explores the coordination learning control of second-order non-linear multi-agent systems with input saturation and designs fully distributed learning consensus protocols with fully saturated parameter adaptive updating laws. It demonstrates that global perfect consensus tracking can be achieved over a finite time interval, while also extending to formation control and validating the algorithms through two illustrative examples.
ASIAN JOURNAL OF CONTROL
(2021)
Article
Computer Science, Information Systems
Shanling Dong et al.
Summary: This paper investigates the cooperative output regulation problem for heterogeneous nonlinear uncertain multiagent networked systems, proposing a distributed finite-time observer and a neural-adaptive control protocol to achieve system stability and output synchronization in the presence of uncertainty and disturbances.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Rongheng Cui et al.
Summary: This paper introduces an adaptive state-feedback strategy for state-constrained stochastic high-order nonlinear systems. The new adaptive controller, developed through the inclusion of a power integrator and adaptive backstepping techniques, ensures stability of the system and boundedness of signals.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Jinliang Liu et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2019)
Article
Automation & Control Systems
Sahar Yazdani et al.
Article
Computer Science, Artificial Intelligence
Li-Bing Wu et al.
Article
Engineering, Electrical & Electronic
Chunyan Wang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2015)
Article
Computer Science, Information Systems
Xiaohua Ge et al.
INFORMATION SCIENCES
(2015)
Article
Physics, Applied
Yurong Liu et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2009)
Article
Computer Science, Cybernetics
Zhiwei Gao et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
(2008)
Article
Automation & Control Systems
Yiguang Hong et al.