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学者姓名：陈阳舟
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Abstract ：
This article investigates the problem of finite-frequency fault estimation (FE) and adaptive event-triggered fault-tolerant consensus for linear parameter-varying multiagent systems. A polytopic parameter-varying framework is introduced to represent the dynamics of each agent with internal model perturbation and parameter uncertainties. In order to reduce the conservatism brought by full-frequency domain approaches, the finite-frequency technique is employed to design a FE observer that can estimate the magnitude of faults. To eliminate/reduce the impact of faults on system performance, an adaptive event-triggered fault-tolerant consensus controller is then developed, which adjusts the consensus protocol based on the FE information. With the developed distributed fault-tolerant protocol and adaptive event-triggered control scheme, the agents can reach consensus in the presence of system faults and the transmission of unnecessary information in the control channels is avoided. The proposed triggering scheme offers certain advantages over existing results in balancing desired consensus performance and improving network utilization. By constructing a parameter-dependent Lyapunov function, a sufficient condition for designing the consensus controller gain and the adjustment matrix can be derived in the form of linear matrix inequality. Finally, two simulation examples are included to illustrate the effectiveness of the obtained theoretical results.
Keyword ：
Adaptive event-triggered control Adaptive event-triggered control fault-tolerant consensus fault-tolerant consensus multiagent systems (MASs) multiagent systems (MASs) fault estimation (FE) fault estimation (FE) linear parameter-varying (LPV) model linear parameter-varying (LPV) model
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| GB/T 7714 | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Finite-Frequency Fault Estimation and Adaptive Event-Triggered Fault-Tolerant Consensus for LPV Multiagent Systems [J]. | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS , 2024 . |
| MLA | Li, Shanglin 等. "Finite-Frequency Fault Estimation and Adaptive Event-Triggered Fault-Tolerant Consensus for LPV Multiagent Systems" . | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2024) . |
| APA | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Finite-Frequency Fault Estimation and Adaptive Event-Triggered Fault-Tolerant Consensus for LPV Multiagent Systems . | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS , 2024 . |
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Abstract ：
To obtain the optimal online driving strategy, this paper first establishes a dynamic model for a single subway train and further discretizes it concerning the position variable. Then, the charging and discharging strategy of the onboard storage system is designed, and the discrete dynamics model of the train under the charging and discharging conditions of the onboard supercapacitor is further established. Subsequently, an online inverse dynamic programming algorithm with an onboard energy storage system is proposed to solve the driving strategy and simulate it with actual data. The results show that, based on satisfying anti-interference and punctuality, the online energy-saving driving strategy obtained by the algorithm proposed in this paper reduces the total energy consumption of trains running online by 13.2% compared with those without onboard energy storage, achieving the purpose of online energy saving.
Keyword ：
regenerative braking regenerative braking on-board energy storage on-board energy storage run online run online energy saving optimization energy saving optimization dynamic programming dynamic programming
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| GB/T 7714 | Chen, Yangzhou , Hu, Maolin . On-Line Energy-Saving Driving Strategy of Subway Trains with On-Board Energy Storage [J]. | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 : 20-30 . |
| MLA | Chen, Yangzhou 等. "On-Line Energy-Saving Driving Strategy of Subway Trains with On-Board Energy Storage" . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION (2023) : 20-30 . |
| APA | Chen, Yangzhou , Hu, Maolin . On-Line Energy-Saving Driving Strategy of Subway Trains with On-Board Energy Storage . | CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION , 2023 , 20-30 . |
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Abstract ：
In this paper, the periodic event-triggered consensus problem for linear multiagent systems (MASs) with random packet dropouts in a generic directed communication topology is addressed. Both leaderless and leader-following mean square consensus problems, where the random packet dropouts are described by a Bernoulli-distributed sequence, are considered. To solve these problems, a linear transformation matrix is constructed from a given directed spanning tree of the communication topology of the MASs, which equivalently transforms the mean square consensus problem into the corresponding mean square asymptotic stability problem of the derived reduced-order systems with constraints. Then, mean square consensus criteria are derived using the Lyapunov stability theory, which is expressed in terms of linear matrix inequalities (LMIs) concerning the sampling period, the packet dropout probability, and the control gain matrix. To reduce the information updating number, an event-triggered mechanism is designed with fewer unknown parameters. Finally, numerical simulations are given to verify the effectiveness of the theoretical results.
Keyword ：
periodic event-triggered mechanism periodic event-triggered mechanism Directed communication topology Directed communication topology linear multiagent system linear multiagent system leaderless and leader-following consensus leaderless and leader-following consensus random packet dropouts random packet dropouts
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| GB/T 7714 | Chen, Bing , Chen, Yangzhou , Zhan, Jingyuan . Periodic Event-triggered Consensus of Multiagent Systems Under Random Packet Dropouts [J]. | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS , 2023 , 21 (9) : 2938-2949 . |
| MLA | Chen, Bing 等. "Periodic Event-triggered Consensus of Multiagent Systems Under Random Packet Dropouts" . | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 21 . 9 (2023) : 2938-2949 . |
| APA | Chen, Bing , Chen, Yangzhou , Zhan, Jingyuan . Periodic Event-triggered Consensus of Multiagent Systems Under Random Packet Dropouts . | INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS , 2023 , 21 (9) , 2938-2949 . |
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Abstract ：
This paper is concerned with the problem of fault estimation and fault-tolerant consensus tracking control for Lipschitz nonlinear multi-agent systems subject to external disturbance. In order to improve the communication efficiency of main network channels, two periodic event-triggered mechanisms are developed between sensor to observer and observer to controller, respectively. An event-triggered fault observer is developed to estimate existing faults and the estimated result is used for the design of a fault-tolerant controller to ensure system security. According to Lyapunov-Krasovskii theorem and the free-weighting matrix technique, the model gains of the observer and the controller can be obtained by solving a series of bilinear matrix inequalities (BMIs). To address the difficulty associated with BMIs, two iterative algorithms based on linear matrix inequalities (LMIs) are developed. Finally, a simulation example of satellite vehicles is given to illustrate the effectiveness of the obtained theoretical results.
Keyword ：
Fault estimation Fault estimation Security Security multi-agent systems multi-agent systems Fault tolerance Fault tolerance periodic event-triggered mechanism periodic event-triggered mechanism Estimation Estimation Multi-agent systems Multi-agent systems Observers Observers fault-tolerant tracking control fault-tolerant tracking control Fault tolerant systems Fault tolerant systems Iron Iron
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| GB/T 7714 | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism [J]. | IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS , 2023 , 9 : 229-241 . |
| MLA | Li, Shanglin 等. "Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism" . | IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 9 (2023) : 229-241 . |
| APA | Li, Shanglin , Chen, Yangzhou , Liu, Peter Xiaoping . Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism . | IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS , 2023 , 9 , 229-241 . |
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Abstract ：
In this paper, consensus analysis and design are investigated for discrete-time multi-agent systems (MASs) with consecutive packet losses in communication links of directed communication topology. It is assumed that at each transmitted instant, the packet loss is stochastic and described by Bernoulli distribution, but during a given time window, the data could be successfully transmitted to the agent from each of its neighbors. First, we utilize the incidence matrix of a directed spanning tree of the communication topology to construct a linear transformation matrix so that the consensus problem is equivalently transformed into a mean square asymptotic stability problem of a reduced-order system. Second, by using Lyapunov-Krasovskii functional approach, we derive some sufficient conditions of consensus criterion in terms of linear matrix inequalities (LMIs). These conditions express the relationship among the control gain matrix, packet loss rate, and the number of consecutive packet losses. Based on the conditions, gain matrix in the consensus protocol is designed to guarantee the MAS with stochastic packet losses to achieve mean square asymptotic consensus. Moreover, for the special case of undirected communication topology, by using the matrix decomposition method, the variables of LMIs are transformed into the low-order conditions independent of the network size. Finally, some numerical examples are given to show the effectiveness of the proposed method.
Keyword ：
Consensus Consensus linear transformation linear transformation discrete-time multi-agent systems discrete-time multi-agent systems packet losses packet losses directed spanning tree directed spanning tree
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| GB/T 7714 | Chen, Bing , Chen, Yangzhou , Zhan, Jingyuan . Consensus of discrete-time multi-agent systems with consecutive packet losses in directed communication topology [J]. | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2023 , 45 (10) : 1829-1841 . |
| MLA | Chen, Bing 等. "Consensus of discrete-time multi-agent systems with consecutive packet losses in directed communication topology" . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 45 . 10 (2023) : 1829-1841 . |
| APA | Chen, Bing , Chen, Yangzhou , Zhan, Jingyuan . Consensus of discrete-time multi-agent systems with consecutive packet losses in directed communication topology . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2023 , 45 (10) , 1829-1841 . |
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Abstract ：
This article studies the problem of cooperative control of heterogeneous vehicles in a platoon. First, a novel predictive spacing strategy (PSS) is proposed for vehicles that are described by a third-order heterogeneous dynamics model. The PSS utilizes the current velocity information of each vehicle to predict its travel distance forward, thereby enhancing the control performance of the vehicle platoon. Second, the vehicle platooning problem is equivalently transformed into a leader-following consensus (LFC) for multi-vehicle system by introducing new variables, and in this way a distributed linear control protocol with a generalized structure is proposed. Then, we cleverly employ a linear transformation based on a directed spanning tree (DST) to further convert the consensus problem into an asymptotic stability problem with partial variables of the equivalent system. On this basis, the conditions for achieving platoon control in the multi-vehicle system are derived in conjunction with the partial stability theory, and the conditions for the system to satisfy string stability are further deduced. In addition, a method for solving the gain matrix in the control protocol is elaborated. Finally, the effectiveness of the proposed PSS and the designed protocol is verified by numerical simulation.
Keyword ：
Heterogeneous vehicle platoon Heterogeneous vehicle platoon leader-following consensus (LFC) leader-following consensus (LFC) linear transformation linear transformation partial stability partial stability predictive spac-ing strategy (PSS) predictive spac-ing strategy (PSS) string stability string stability
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| GB/T 7714 | Chen, Yangzhou , Yan, Bingzhuang . Vehicle Platoon Control Based on Third-Order Heterogeneous Model and Predictive Spacing Strategy [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2023 , 25 (5) : 4458-4469 . |
| MLA | Chen, Yangzhou 等. "Vehicle Platoon Control Based on Third-Order Heterogeneous Model and Predictive Spacing Strategy" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 25 . 5 (2023) : 4458-4469 . |
| APA | Chen, Yangzhou , Yan, Bingzhuang . Vehicle Platoon Control Based on Third-Order Heterogeneous Model and Predictive Spacing Strategy . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2023 , 25 (5) , 4458-4469 . |
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Abstract ：
Accurate and efficient short-term traffic flow prediction is one of the basic guarantees for solving various traffic problems. According to the road network topology and the temporal and spatial correlation of traffic flow, a multi-step road network speed prediction method based on graph convolution-long short-term memory neural network (GCLSTM) is proposed. Firstly, the weight parameters of the convolutional layer are designed to increase the connection between the convolutional layers. Convolutional layer is embedded in the gating unit of long short-term memory neural network (LSTM) to achieve the effect of capturing the spatial and temporal correlation at the same time. Secondly, an encoder and decoder structure is used to realize multi-step prediction. The structure gradually increase the output sequence length to improve the efficiency of model training. Finally, ablation experiments and comparison experiments are performed on the expressway dataset and the urban road dataset. The ablation experiments show that the error index of the hybrid network prediction model is significantly reduced. The comparative experiments exhibit that the GCLSTM prediction model has higher multi-step prediction accuracy and better prediction performance at a single observation point. This model provides accurate prediction information for intelligent transportation.
Keyword ：
intelligent transportation intelligent transportation short-term traffic flow prediction short-term traffic flow prediction hybrid network hybrid network spatiotemporal correlation spatiotemporal correlation
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| GB/T 7714 | Liang, Chaoqiang , Chen, Yangzhou , Shi, Zeyu . Multi-step Road Network Speed Prediction Based on Graph Convolution Long Short-Term Memory Neural Network [J]. | 2022 IEEE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING, ICITE , 2022 : 278-283 . |
| MLA | Liang, Chaoqiang 等. "Multi-step Road Network Speed Prediction Based on Graph Convolution Long Short-Term Memory Neural Network" . | 2022 IEEE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING, ICITE (2022) : 278-283 . |
| APA | Liang, Chaoqiang , Chen, Yangzhou , Shi, Zeyu . Multi-step Road Network Speed Prediction Based on Graph Convolution Long Short-Term Memory Neural Network . | 2022 IEEE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING, ICITE , 2022 , 278-283 . |
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Abstract ：
本发明公开了一种基于视频的交叉口区域交通参数统计方法，该方法包括：数据采集、交通数据预处理、道路区域划分、行程时间估计、计算行驶距离及数据修复六个主要阶段。本发明可以用于修复卫星定位系统和视频采集等来源的车辆轨迹数据，提高轨迹数据的利用率和信息完整度。同时，利用信息融合和人工智能技术考虑了交通状态对车辆行驶轨迹的影响，使修复的轨迹符合车辆行驶的时空特征，提高了修复后轨迹数据的可信度及可靠性，该方法修复轨迹数据既避免了人工经验修复轨迹数据的不可靠性，也弥补了数据驱动方法的泛化能力不足的缺点。该方法结果适应于地理信息系统及智能交通系统方面的科学研究和实践应用。
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| GB/T 7714 | 陈阳舟 , 师泽宇 , 辛乐 . 基于交通状态的交叉口车辆轨迹数据修复方法 : CN202110669070.6[P]. | 2021-06-17 . |
| MLA | 陈阳舟 等. "基于交通状态的交叉口车辆轨迹数据修复方法" : CN202110669070.6. | 2021-06-17 . |
| APA | 陈阳舟 , 师泽宇 , 辛乐 . 基于交通状态的交叉口车辆轨迹数据修复方法 : CN202110669070.6. | 2021-06-17 . |
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Abstract ：
This paper is concerned with the problem of fault detection and consensus control via event-triggered scheme for a class of linear multi-agent systems subject to external disturbances. For the network of multi-agent systems with unknown faults and disturbances, the event-triggered consensus protocol and observer-based fault detection filter are designed simultaneously. Through the model transformation and decomposition, the specific design problem can be transformed into a multi-objective optimization problem by using a mixed H∞/H− method. Based on the Lyapunov-Krasovskii Theory and Projection Lemma, some sufficient conditions, which ensure the decomposed system is not only asymptotically stable, but also satisfies the prescribed optimization performance constraints, are derived in the form of linear matrix inequalities. Finally, two simulation examples are provided to verify the practicality and validity of the theoretical results. © 2021 The Franklin Institute
Keyword ：
Multiobjective optimization Multiobjective optimization Fault detection Fault detection Linear matrix inequalities Linear matrix inequalities Multi agent systems Multi agent systems
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| GB/T 7714 | Li, Shanglin , Chen, Yangzhou , Zhan, Jingyuan . Simultaneous observer-based fault detection and event-triggered consensus control for multi-agent systems [J]. | Journal of the Franklin Institute , 2021 , 358 (6) : 3276-3301 . |
| MLA | Li, Shanglin 等. "Simultaneous observer-based fault detection and event-triggered consensus control for multi-agent systems" . | Journal of the Franklin Institute 358 . 6 (2021) : 3276-3301 . |
| APA | Li, Shanglin , Chen, Yangzhou , Zhan, Jingyuan . Simultaneous observer-based fault detection and event-triggered consensus control for multi-agent systems . | Journal of the Franklin Institute , 2021 , 358 (6) , 3276-3301 . |
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Abstract ：
Tunnel LED lighting system is an important infrastructure to ensure the safety and comfort of driving in highway tunnels. In this paper, an automatic robust detection of lighting LED lamps in highway tunnels based on vehicle-mounted video processing is proposed. By analyzing the geometric structure of the interior road environment in tunnels, this method includes the following three aspects. Firstly, the front-vehicle vanishing point is detected by using the M-estimator sample and consensus (MSAC) algorithm, just with the set of significant parallel lines extracted using the LSD (Line Segment Detector) operator. Secondly, after the dark region on the top of the tunnel is accurately segmented, an image segmentation algorithm based on adaptive threshold is adopted, realizing the LED lamp candidate region detection. Thirdly, this paper proposes post-processing methods to ensure the accurate detection of LED lamps in complex scenes with highlight-interference in the tunnel. The experimental results show that this method can robustly detect the LED lamps in the tunnel under complex conditions with high accuracy, which can meet the needs of efficient acceptance inspection and daily maintenance of tunnel LED lighting system.
Keyword ：
Tunnel Lighting System Tunnel Lighting System Front-vehicle Vanishing Point Front-vehicle Vanishing Point On-board Video Processing On-board Video Processing Adaptive Threshold Segmentation Adaptive Threshold Segmentation Robust Detection of Lighting LEDs Robust Detection of Lighting LEDs
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| GB/T 7714 | Xin, Le , Shi, Zeyu , Chen, Yangzhou . Robust Detection of Lighting LEDs by Analyzing the Geometric Structure of the Tunnel Interior Environment in Vehicle-Mounted Video Sequences [J]. | 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) , 2021 : 3327-3333 . |
| MLA | Xin, Le 等. "Robust Detection of Lighting LEDs by Analyzing the Geometric Structure of the Tunnel Interior Environment in Vehicle-Mounted Video Sequences" . | 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) (2021) : 3327-3333 . |
| APA | Xin, Le , Shi, Zeyu , Chen, Yangzhou . Robust Detection of Lighting LEDs by Analyzing the Geometric Structure of the Tunnel Interior Environment in Vehicle-Mounted Video Sequences . | 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) , 2021 , 3327-3333 . |
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