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学者姓名：陈阳舟
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Abstract ：
This article proposes a novel framework for studying the consensus problem for a class of nonlinear multiagent systems (MASs) based on decentralized output-feedback stabilization of derived reduced-order fundamental edge states dynamic systems. First, by introducing edge states dynamics with respect to a directed spanning tree of the communication topology, we equivalently transform the state consensus problem into a decentralized output feedback stabilization problem. Then, for the case of linear MASs, we derive a new sufficient and necessary consensus criterion in terms of the concept of decentralized fixed modes and also present a design procedure of the protocol gains in terms of linear matrix inequalities (LMIs). Next, a sufficient consensus condition is derived in terms of LMIs for the nonlinear MAS with local proportional-integral (PI) observers. Furthermore, to reduce the complexity of the condition verification, we introduce a graph representation of the fundamental edge states dynamic system and decompose it into strongly connected components and, thus, reorganize the condition in a decentralized form. On this basis, we present a hierarchical method to design the consensus protocols and PI observers based on the information of the subsystem itself only. Finally, several numerical examples are given to illustrate the effectiveness of the proposed method.
Keyword ：
Interconnected systems Interconnected systems decentralized output feedback stabilization decentralized output feedback stabilization Consensus Consensus fundamental edge states dynamic system fundamental edge states dynamic system Observers Observers nonlinear multiagent system (MAS) nonlinear multiagent system (MAS) Network systems Network systems Topology Topology Output feedback Output feedback proportional-integral (PI) observer proportional-integral (PI) observer Eigenvalues and eigenfunctions Eigenvalues and eigenfunctions Transforms Transforms
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| GB/T 7714 | Chen, Yangzhou , Huang, Xiaolong . PI-Observer-Based Consensus of Nonlinear Multiagent Systems via Reduced-Order Edge State Dynamics and Decentralized Procedure [J]. | IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS , 2024 , 11 (2) : 769-781 . |
| MLA | Chen, Yangzhou 等. "PI-Observer-Based Consensus of Nonlinear Multiagent Systems via Reduced-Order Edge State Dynamics and Decentralized Procedure" . | IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 11 . 2 (2024) : 769-781 . |
| APA | Chen, Yangzhou , Huang, Xiaolong . PI-Observer-Based Consensus of Nonlinear Multiagent Systems via Reduced-Order Edge State Dynamics and Decentralized Procedure . | IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS , 2024 , 11 (2) , 769-781 . |
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Abstract ：
This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks. During the information exchange and dissemination, a malicious attacker can make full use of specialized computer technology and launch stochastic deception attacks against some vulnerable agents over the network. The attack signals in actual operation tend to be energy-constrained, and Bernoulli distribution can be used to describe the random features. Taking the attack information into account, the distributed fault detection observer and the dynamic consensus compensator are designed in two separate steps. In order to reduce unnecessary information transmission, a dynamic event-triggered mechanism with output-dependent threshold is introduced to the adjustment of consensus protocol. According to Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions are derived for developing the model gains of the observer and the compensator. Finally, a simulation example of RLC circuit systems is provided to illustrate the effectiveness of the obtained theoretical results.
Keyword ：
Cyberattack Cyberattack deception attacks deception attacks Observers Observers Integrated circuit modeling Integrated circuit modeling dynamic event-triggered consensus dynamic event-triggered consensus Multi-agent systems Multi-agent systems System performance System performance Task analysis Task analysis Distributed fault detection Distributed fault detection heterogeneous multiagent systems heterogeneous multiagent systems Fault detection Fault detection
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| GB/T 7714 | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks [J]. | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS , 2023 , 70 (8) : 3294-3304 . |
| MLA | Li, Shanglin 等. "Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks" . | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 70 . 8 (2023) : 3294-3304 . |
| APA | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks . | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS , 2023 , 70 (8) , 3294-3304 . |
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Abstract ：
Accurate traffic estimation on urban networks is a prerequisite for efficient traffic detection, congestion warning, and transportation schedule. The current estimation methods can be roughly divided into model-driven and the data-driven methods. The estimation accuracy of the model-driven methods cannot satisfy certain applications. Meanwhile, the data-driven methods have the disadvantages of poor generalization ability and weak interpretability. To overcome these challenges, this paper proposes a framework named the physics-informed spatiotemporal graph convolution neural network (PSTGCN) based on physics-informed deep learning theories. The PSTGCN uses a spatiotemporal graph convolution neural network combined with traffic flow models to estimate the traffic state. The proposed model not only considers the temporal and spatial dependence of traffic flow but also abides by the internal law of traffic flow. Furthermore, the estimation objects of the proposed model are multiple variables that comprehensively represent the traffic state. Experiments on real-world traffic data reveal the error of the PSTGCN is reduced by 38.39% compared to the baselines. Also, the PSTGCN can achieve a similar prediction effect as the baselines by using half of the global spatial information. These results demonstrate that the PSTGCN outperforms the state-of-the-art models in urban traffic estimation and is robust under variable road conditions and data scales.
Keyword ：
Hybrid model Hybrid model Physics-informed deep learning Physics-informed deep learning Urban network Urban network Traffic state estimation Traffic state estimation
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| GB/T 7714 | Shi, Zeyu , Chen, Yangzhou , Liu, Jichao et al. Physics-Informed Spatiotemporal Learning Framework for Urban Traffic State Estimation [J]. | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2023 , 149 (7) . |
| MLA | Shi, Zeyu et al. "Physics-Informed Spatiotemporal Learning Framework for Urban Traffic State Estimation" . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS 149 . 7 (2023) . |
| APA | Shi, Zeyu , Chen, Yangzhou , Liu, Jichao , Fan, Dechao , Liang, Chaoqiang . Physics-Informed Spatiotemporal Learning Framework for Urban Traffic State Estimation . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2023 , 149 (7) . |
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Abstract ：
This paper considers the problem of leader-following consensus and fault detection for a class of multi-agent systems with Lipschitz nonlinear dynamics. To reduce the amount of redundant information and avoid checking triggering conditions continually, this paper proposes an efficient network framework with a double periodic event-triggered mechanism. Based on the proposed framework, an improved fault detection observer and a consensus controller are designed. Then, the original problem is converted into a set of stability problems with constraints. According to Lyapunov-Krasovskii theorem and the free-weighting matrix technique, sufficient conditions for solving these stability problems are derived in the form of bilinear matrix inequalities (BMIs). Further, to eliminate the nonlinear terms of BMI and obtain optimal performance, two iterative algorithms based on linear matrix inequalities (LMIs) are developed. Two simulation examples are provided to verify the practicality and validity of the theoretical results.
Keyword ：
Lipschitz nonlinear dynamics Lipschitz nonlinear dynamics Fault detection Fault detection Multi-agent systems Multi-agent systems Periodic event-triggered mechanism Periodic event-triggered mechanism Leader-following consensus Leader-following consensus
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| GB/T 7714 | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Double event-triggered leader-following consensus and fault detection for Lipschitz nonlinear multi-agent systems via periodic sampling strategy [J]. | NONLINEAR DYNAMICS , 2023 , 111 (9) : 8293-8311 . |
| MLA | Li, Shanglin et al. "Double event-triggered leader-following consensus and fault detection for Lipschitz nonlinear multi-agent systems via periodic sampling strategy" . | NONLINEAR DYNAMICS 111 . 9 (2023) : 8293-8311 . |
| APA | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Double event-triggered leader-following consensus and fault detection for Lipschitz nonlinear multi-agent systems via periodic sampling strategy . | NONLINEAR DYNAMICS , 2023 , 111 (9) , 8293-8311 . |
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Abstract ：
In this paper, periodic event-triggered leaderless and leader-following consensus problems are studied for linear multi-agent systems with deterministic packet losses under the generic directed communication topology. Specially, an event-triggered mechanism is proposed, which only needs to communicate the event-triggered states of the agent and verify the event-triggered condition at the periodic sampling instants. A switched system with stable and unstable subsystems is used to describe packet dropouts in a deterministic way. The incidence matrix of a directed spanning tree in the directed communication topology is utilized to construct a linear transformation so that the consensus problems are equivalently transformed into the asymptotic stability problems of reduced-order systems. Then, some sufficient consensus conditions are derived and the consensus protocol gains are designed. Finally, simulation examples are given to show the effectiveness of the proposed results.
Keyword ：
leaderless and leader-following consensuses leaderless and leader-following consensuses deterministic packet losses deterministic packet losses linear multiagent system linear multiagent system sampled-data event-triggered mechanism sampled-data event-triggered mechanism directed communication topology directed communication topology
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| GB/T 7714 | Chen, Bing , Chen, Yangzhou . Periodic event-triggered consensus based on triggered communication states for multi-agent systems with packet losses [J]. | ASIAN JOURNAL OF CONTROL , 2023 , 25 (6) : 4319-4336 . |
| MLA | Chen, Bing et al. "Periodic event-triggered consensus based on triggered communication states for multi-agent systems with packet losses" . | ASIAN JOURNAL OF CONTROL 25 . 6 (2023) : 4319-4336 . |
| APA | Chen, Bing , Chen, Yangzhou . Periodic event-triggered consensus based on triggered communication states for multi-agent systems with packet losses . | ASIAN JOURNAL OF CONTROL , 2023 , 25 (6) , 4319-4336 . |
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Abstract ：
本发明公开了一种基于车载储能的地铁列车在线节能优化控制方法，在考虑存在基本阻力、列车牵引/制动力、坡度附加力等前提条件下，以列车位置为自变量、速度和时间为状态变量建立列车动力学模型；随后将地铁运行线路长度进行离散化处理，并将列车动力学模型以及所受力进行离散化；建立列车牵引力/制动力切换方案，规定列车在多站间行驶时的模态切换顺序；设计车载超级电容器的充放电策略；构造列车节能运行优化问题；根据约束条件结合状态递推方程，求解列车当前位置到终点的最优节能驾驶策略，每行驶到一个新的离散点，实时获取最优策略并进行更新，该方法充分利用了模态切换思想，具有滚动优化、在线控制列车、合理利用列车制动能量等优点。
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| GB/T 7714 | 陈阳舟 , 胡茂林 , 师泽宇 . 一种基于车载储能的地铁列车在线节能优化控制方法 : CN202211161070.6[P]. | 2022-09-22 . |
| MLA | 陈阳舟 et al. "一种基于车载储能的地铁列车在线节能优化控制方法" : CN202211161070.6. | 2022-09-22 . |
| APA | 陈阳舟 , 胡茂林 , 师泽宇 . 一种基于车载储能的地铁列车在线节能优化控制方法 : CN202211161070.6. | 2022-09-22 . |
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Abstract ：
本发明公开了一种基于神经网络的车辆通过交叉口行程时间的预测方法，属于智能交通系统领域，主要解决车辆在交叉口拥堵的情况和交通信号灯的影响下，实现对车辆通过交叉口时间的准确预测。所述方法步骤如下：(1)城市道路划分；(2)交叉口数据收集；(3)数据处理；(4)通过BP神经网络，将处理后的数据输入进行模型的迭代学习并得出交通参数和行程时间的关系从而达到预测时间的目的。本发明充分考虑了交叉口的复杂情况，利用神经网络模型的优势，预测出车辆通过交叉口的行程时间，可以为驾驶者后续的行驶路线选择提供可靠信息。
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| GB/T 7714 | 陈阳舟 , 袁新利 , 师泽宇 . 一种基于神经网络的车辆通过交叉口行程时间的预测方法 : CN202110058781.X[P]. | 2021-01-16 . |
| MLA | 陈阳舟 et al. "一种基于神经网络的车辆通过交叉口行程时间的预测方法" : CN202110058781.X. | 2021-01-16 . |
| APA | 陈阳舟 , 袁新利 , 师泽宇 . 一种基于神经网络的车辆通过交叉口行程时间的预测方法 : CN202110058781.X. | 2021-01-16 . |
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Abstract ：
This paper studies the distributed consensus problem of general linear multi-agent systems (MASs) based on a novel decentralized output feedback control approach. By introducing the edge state and a directed-spanning-tree-based linear transformation method, we firstly equivalently transform the consensus problem into the decentralized output feedback stabilization control problem. Then we employ the properties of distributed fixed modes in decentralized output feedback stabilization control problem to derive a necessary and sufficient condition for ensuring the asymptotic state consensus of the MAS under the linear state feedback control. We further present a gradient descent iterative algorithm to design the gain matrix in the linear feedback consensus protocol. Finally, we give a numerical example to demonstrate the effectiveness of the theoretical results.
Keyword ：
multi-agent system multi-agent system Consensus Consensus distributed fixed mode distributed fixed mode decentralized output feedback control decentralized output feedback control
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| GB/T 7714 | Chen, Yangzhou , Zhan, Jingyuan , Huang, Xiaolong . Distributed consensus of linear multi-agent systems via decentralized output feedback control approach [J]. | PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) , 2021 : 5297-5302 . |
| MLA | Chen, Yangzhou et al. "Distributed consensus of linear multi-agent systems via decentralized output feedback control approach" . | PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) (2021) : 5297-5302 . |
| APA | Chen, Yangzhou , Zhan, Jingyuan , Huang, Xiaolong . Distributed consensus of linear multi-agent systems via decentralized output feedback control approach . | PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) , 2021 , 5297-5302 . |
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Abstract ：
本发明公开了一种基于神经网络的车辆通过交叉口行程时间的预测方法，属于智能交通系统领域，主要解决车辆在交叉口拥堵的情况和交通信号灯的影响下，实现对车辆通过交叉口时间的准确预测。所述方法步骤如下：(1)城市道路划分；(2)交叉口数据收集；(3)数据处理；(4)通过BP神经网络，将处理后的数据输入进行模型的迭代学习并得出交通参数和行程时间的关系从而达到预测时间的目的。本发明充分考虑了交叉口的复杂情况，利用神经网络模型的优势，预测出车辆通过交叉口的行程时间，可以为驾驶者后续的行驶路线选择提供可靠信息。
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 陈阳舟 , 袁新利 , 师泽宇 . 一种基于神经网络的车辆通过交叉口行程时间的预测方法 : CN202110058781.X[P]. | 2021-01-16 . |
| MLA | 陈阳舟 et al. "一种基于神经网络的车辆通过交叉口行程时间的预测方法" : CN202110058781.X. | 2021-01-16 . |
| APA | 陈阳舟 , 袁新利 , 师泽宇 . 一种基于神经网络的车辆通过交叉口行程时间的预测方法 : CN202110058781.X. | 2021-01-16 . |
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Abstract ：
This paper focuses on the consensus control and fault estimation problems for a class of time-delayed multi-agent systems with Markov switching topologies. Two different event-triggered mechanisms are adopted with hope to reduce burden of shared network and improve energy efficiency. Under Markov process, by establishing the consensus control protocol and designing a novel adaptive fault estimation observer, the consensus control and fault estimation problems are transformed into two stochastic stability problems in different forms. Then, according to the switching Lyapunov function method and free-weighting matrix technique, two delay-dependent stability criteria on the consensus control and fault estimation are derived, respectively. However, the two criteria containing nonlinear coupling terms are not standard linear matrix inequalities (LMIs) and cannot be solved directly with the LMI toolbox. In order to eliminate the coupling terms, two improved path-following algorithms are presented. These algorithms depend on the initial conditions, so it is very crucial to choose the appropriate preset parameters. The computational complexity is increasing with the number of iterations, system size and matrix dimension, which is a fully new challenge for the study of consensus control and fault estimation of multi-agent systems. Based on the algorithms, the switching consensus controller gains and model gain matrices of fault estimation can be efficiently solved out. Finally, a simulation example of tailless fighter airplanes is given to illustrate the practicality and validity of the theoretical results. (c) 2021 Elsevier B.V. All rights reserved.
Keyword ：
Time-delayed multi-agent systems Time-delayed multi-agent systems Event-triggered mechanism Event-triggered mechanism Fault estimation Fault estimation Markov switching topologies Markov switching topologies Consensus control Consensus control
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| GB/T 7714 | Li, Shanglin , Chen, Yangzhou , Zhan, Jingyuan . Event-triggered consensus control and fault estimation for time-delayed multi-agent systems with Markov switching topologies [J]. | NEUROCOMPUTING , 2021 , 460 : 292-308 . |
| MLA | Li, Shanglin et al. "Event-triggered consensus control and fault estimation for time-delayed multi-agent systems with Markov switching topologies" . | NEUROCOMPUTING 460 (2021) : 292-308 . |
| APA | Li, Shanglin , Chen, Yangzhou , Zhan, Jingyuan . Event-triggered consensus control and fault estimation for time-delayed multi-agent systems with Markov switching topologies . | NEUROCOMPUTING , 2021 , 460 , 292-308 . |
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