相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Computer Science, Theory & Methods
Liang Cao et al.
Summary: This paper investigates the formation control issue of nonlinear multiagent systems with asymmetric input saturation and unmeasured states. A high-gain fuzzy observer is constructed to estimate the unavailable states, and a leader-follower formation control strategy is proposed. Two new dynamic event triggering mechanisms and dynamic rules of threshold parameters are established to reduce the communication between controller and actuator. Furthermore, a modified auxiliary system is developed to counteract the adverse effect of asymmetric input saturation.
FUZZY SETS AND SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Hongjing Liang et al.
Summary: This study proposes an improved finite-time performance function (FTPF) to address the impact of stochastic disturbances and actuator faults on controller design and tracking accuracy in nonlinear multiagent systems (MASs). By designing a relaxed parameter selection range, the system achieves better transient performance. With the help of the stochastic Lyapunov stability theory, it is proven that all signals of the system are semiglobal uniformly ultimately bounded in probability, and bipartite consensus errors can satisfy the arbitrary precision with probability within the predefined time. Finally, the proposed control scheme is applied to a group of vehicles' BCT tasks to verify its effectiveness and demonstrate anticipated control performance under various uncertainties.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Guohuai Lin et al.
Summary: This article focuses on the event-based finite-time neural attitude consensus control problem for the six-rotor unmanned aerial vehicle (UAV) systems with unknown disturbances. It addresses the issues of external disturbances and uncertain nonlinear dynamics using a disturbance observer and radial basis function neural networks (RBF NNs). The proposed finite-time command filtered (FTCF) backstepping method effectively manages the complexity explosion problem and an event-triggered mechanism is considered to alleviate the communication burden.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Hongjing Liang et al.
Summary: This article investigates the problem of adaptive performance guaranteed tracking control for multiagent systems (MASs) with power integrators and measurement sensitivity. A new control approach is proposed to guarantee the convergence of the relative position error between neighboring agents within a preassigned finite time. By utilizing the Nussbaum gain technique and neural networks, a novel control scheme is developed to solve the unknown measurement sensitivity on the sensor, relaxing the restrictive condition. Based on the Lyapunov functional method, it is proven that the relative position error can converge into the prescribed boundary.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Xiangpeng Xie et al.
Summary: This paper introduces the resilient fuzzy stabilization technique, which improves the adjustability of conservatism by employing a switching-type gain-scheduling control law and introducing a time-variant balanced matrix.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Li Sun et al.
Summary: This article proposes a quantitative tuning rule for the time-delayed ADRC (TD-ADRC) structure in power plant processes and validates its effectiveness through simulation and experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Yongchao Liu et al.
Summary: An adaptive optimized control scheme based on neural networks is developed for perturbed strict-feedback nonlinear systems. The scheme employs an optimized backstepping technique and a disturbance observer to enhance system robustness.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Jiayue Sun et al.
Summary: This article solves the fault-tolerant control problem of uncertain time-delayed systems with signal quantization. It proposes an observer-based scheme that enhances the robust stability of the systems and can estimate incomplete measurable variables. The article also introduces a novel method for efficiently seeking the upper bound solution of time-varying delay, reducing conservativeness. The effectiveness of the design method is verified through simulated analysis.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Yang Liu et al.
Summary: Finite/time stabilization and tracking control is a popular field with better control performance and disturbance rejection. This paper provides an overview of the basic definitions, reviews research results, and presents some challenging problems that need to be addressed.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Engineering, Electrical & Electronic
Zhong-Hua Pang et al.
Summary: This paper deals with the time-varying formation problem for second-order networked multi-agent systems subject to random communication delays and packet dropouts. It proposes a cloud-based time-varying formation predictive control method with control input quantization to actively compensate for these constraints. Simulation results are provided to validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Automation & Control Systems
Zhitai Liu et al.
Summary: This article proposes an approximation-free robust synchronization control scheme for dual-linear-motors-driven systems. It achieves high-precision tracking and synchronization performance without requiring explicit system model, reducing computational burden and complexity. The concept of prescribed performance is adopted to guarantee control effect and state constraints.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Min Wang et al.
Summary: This paper focuses on the problem of distributed cooperative learning for a class of multi-agent systems under directed graphs. It proposes a novel adaptive neural network control scheme and develops two lemmas to analyze the exponential convergence of linear time-varying systems with nonsymmetric Laplacian matrix and time delays. The proposed method is shown to be effective in improving the control performance of similar control tasks.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Computer Science, Artificial Intelligence
Liang Cao et al.
Summary: This article addresses the fixed-time formation control problem for nonlinear multiagent systems with dynamic uncertainties and limited communication resources. The backstepping method is used to design a controller with a time-varying formation function. A fixed-time prescribed performance function is introduced to achieve the desired transient and steady-state performance. A neural network-based composite dynamic surface control strategy is proposed to improve the approximating performance. Disturbance observers are established to overcome approximating errors and mismatched disturbances. An improved dynamic event-triggered mechanism and varying threshold parameters are constructed to reduce signal transmission frequency. Via Lyapunov stability theory, all signals in the closed-loop system are proven to be semi-globally uniformly ultimately bounded. Simulation results demonstrate the effectiveness of the developed control strategy.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Lei Liu et al.
Summary: This paper investigates the secure distributed set-membership filtering problem for general nonlinear systems over wireless sensor networks. Bias injection attacks and channel fading of wireless communication are taken into account in filter design. By using LMI technique and Taylor's expansion formula, nonlinearity, channel fading, bias injection attacks, and non-fragility are handled simultaneously to address the filter design problem. Sufficient conditions are obtained for pre-specified filtering performance, and an optimal algorithm is proposed for locally best performance. Simulation example demonstrates the effectiveness of the proposed secure filtering algorithm.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Yang Yang et al.
Summary: An observer-based containment control approach is proposed for uncertain nonlinear multiagent systems with a directed topology. The method utilizes extended state observers and tracking differentiators, and the convergence of follower containment errors can be adjusted through parameter selection.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Yafeng Li et al.
Summary: This paper addresses the distributed adaptive containment control problem for uncertain nonlinear multiagent systems with time delays and unmodeled dynamics. By introducing a local reference generator and nonlinear function approximation method, a linear-like distributed adaptive output feedback controller is designed to simplify the controller design. Simulation results illustrate the effectiveness of the proposed method.
Article
Mathematics, Interdisciplinary Applications
Pang Zhonghua et al.
Summary: This paper presents a novel observer-based predictive control method for networked systems, considering random delays and packet losses. The proposed method introduces the concept of destination-based lumped delay, designs different compensation schemes for feedback and forward channels, and uses actual control inputs to generate future control signals. The stability condition derived is less conservative and independent of random communication constraints in both channels. Simulation results demonstrate the effectiveness of the method.
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
(2021)
Article
Automation & Control Systems
Xing-Chen Shangguan et al.
Summary: This research proposes a robust delay-dependent PI-based load frequency control (LFC) scheme for power systems, which can handle uncertainties related to transmission delays, sampling periods, parameter uncertainties, load fluctuations, and intermittent generation of renewable energy sources. The scheme is designed to operate stably under various sampling periods and transmission delays, showing strong robustness against uncertainties in power systems, communication networks, load fluctuations, and intermittent generation of RESs.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
Min Wang et al.
Summary: This paper investigates event-based disturbance compensation control for discrete-time SPMSM. A novel backstepping-based control framework and event-based adaptive neural control scheme are proposed to improve disturbance rejection ability and reduce communication resource. The effectiveness of the proposed controller is demonstrated through simulation results, ensuring bounded signals and reduced communication resources.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Hailong Tan et al.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2020)
Article
Engineering, Multidisciplinary
Su HouSheng et al.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2020)
Article
Computer Science, Information Systems
Wencheng Zou et al.
IEEE SYSTEMS JOURNAL
(2020)
Article
Automation & Control Systems
Guanghui Wen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2019)
Article
Automation & Control Systems
Liuliu Zhang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2019)
Article
Automation & Control Systems
Yujuan Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS
(2019)
Article
Computer Science, Information Systems
Wencheng Zou et al.
IEEE SYSTEMS JOURNAL
(2019)
Article
Computer Science, Artificial Intelligence
Fuyong Wang et al.
Article
Automation & Control Systems
Fang Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS
(2017)
Article
Automation & Control Systems
Zhi-Liang Zhao et al.
Article
Automation & Control Systems
Sung Jin Yoo
Article
Automation & Control Systems
Bao-Zhu Guo et al.
SYSTEMS & CONTROL LETTERS
(2011)
Article
Automation & Control Systems
Ziyang Meng et al.
Article
Automation & Control Systems
Jingqing Han
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2009)
Article
Automation & Control Systems
HB Ji et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2006)
Article
Automation & Control Systems
BZ Guo et al.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2002)
Article
Multidisciplinary Sciences
Y Huang et al.
CHINESE SCIENCE BULLETIN
(2000)
