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学者姓名：陈阳舟
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Abstract ：
A proportional-integral observer-based consensus control scheme is proposed for heterogeneous vehicular platoon systems (VPSs) subject to model uncertainties, mixed disturbances (external disturbances and measurement noise), and unavailable acceleration information. For each vehicle, this work considers the measurement noise in the velocity channel, then proposes a distributed proportional-integral observer that can accurately estimate the states information of velocity and acceleration. To improve the control performance of the VPSs, a predictive spacing strategy is adopted, which can transform the VPSs stability problem into a leader-follower consensus problem by introducing a new variable. Through utilizing a state linear transformation technique, the consensus problem can be further converted into a partial state stability problem. To facilitate the analysis of partial state stability under the disturbances, the partial state stability problem can be transformed into a multi-objective optimization problem by using the H infinity control method. Based on Lyapunov stability theory and projection lemma, the sufficient conditions are derived to achieve asymptotic stability of the VPSs and satisfy optimization performance indices simultaneously. In addition, the control scheme can also guarantee the L 2 string stability for the VPSs. Finally, the effectiveness of the proposed control method is confirmed through numerical simulations and comparisons.
Keyword ：
proportional-integral observer proportional-integral observer vehicular platoon vehicular platoon Consensus control Consensus control mixed disturbances mixed disturbances partial state stability partial state stability
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| GB/T 7714 | Li, Yang , Chen, Yangzhou , Li, Shanglin . Proportional-integral observer-based consensus control for heterogeneous vehicular platoon systems with mixed disturbances and unavailable acceleration information [J]. | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2025 . |
| MLA | Li, Yang 等. "Proportional-integral observer-based consensus control for heterogeneous vehicular platoon systems with mixed disturbances and unavailable acceleration information" . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2025) . |
| APA | Li, Yang , Chen, Yangzhou , Li, Shanglin . Proportional-integral observer-based consensus control for heterogeneous vehicular platoon systems with mixed disturbances and unavailable acceleration information . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2025 . |
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Abstract ：
This paper investigates the privacy-preserving cooperative control problem for heterogeneous vehicle platoon systems (VPSs) subject to deception attacks. First, based on the predictive spacing strategy, the vehicle platoon problem is transformed into a leader-follower consensus issue by introducing a new variable. Due to the open nature of vehicle-to-vehicle (V2V) wireless communication networks, the output mask approach, which encrypts V2V data prior to transmission, is adopted to prevent the leakage of initial states. Furthermore, considering the heterogeneous VPSs subjected to random deception attacks and external disturbances, a secure control scheme based on output mask is proposed for the platoon systems. This scheme can simultaneously achieve privacy protection and defense against deception attacks. Based on Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions for achieving platoon control objectives and ensuring the stability of the closed-loop system are derived. Finally, the effectiveness of the proposed control method is verified through numerical simulations and comparisons.
Keyword ：
Heterogeneous vehicle platoon systems Heterogeneous vehicle platoon systems Deception attacks Deception attacks Output mask Output mask Privacy-preserving Privacy-preserving
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| GB/T 7714 | Li, Yang , Chen, Yangzhou , Li, Shanglin . Privacy-Preserving Consensus Control for Heterogeneous Vehicular Platoon Systems Under Deception Attacks [J]. | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY , 2025 . |
| MLA | Li, Yang 等. "Privacy-Preserving Consensus Control for Heterogeneous Vehicular Platoon Systems Under Deception Attacks" . | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY (2025) . |
| APA | Li, Yang , Chen, Yangzhou , Li, Shanglin . Privacy-Preserving Consensus Control for Heterogeneous Vehicular Platoon Systems Under Deception Attacks . | INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY , 2025 . |
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Abstract ：
This article investigates the double dynamic event-triggered consensus of linear multiagent systems with periodic sampled-data via a novel decentralized output feedback stabilization approach. A novel dynamic event-triggered strategy based on periodic sampled-data is proposed for the sensor-to-controller channel and controller-to-actuator channel, respectively. This strategy can further reduce the number of triggers without affecting the system's performance. We use a state linear transformation based on a directed spanning tree of the communication topology to equivalently transform the consensus problem into the decentralized output feedback stabilization problem of the corresponding edge-state system and propose a decentralized pole assignment approach to design the gain matrix for the consensus protocol. Then, by employing the Lyapunov function combined with the lossless S-procedure, we derive consensus criteria containing matrix inequalities. Finally, numerical examples are provided to verify the effectiveness of the proposed approach.
Keyword ：
decentralized output feedback stabilization decentralized output feedback stabilization dynamic event-triggered strategy dynamic event-triggered strategy state consensus state consensus periodic sampling periodic sampling S-procedure S-procedure Linear multiagent system Linear multiagent system
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| GB/T 7714 | Chen, Yangzhou , Tian, Lu , Chen, Bing . Periodic sampled-data-based dynamic event-triggered consensus of linear multiagent systems via decentralized output feedback stabilization approach [J]. | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2024 . |
| MLA | Chen, Yangzhou 等. "Periodic sampled-data-based dynamic event-triggered consensus of linear multiagent systems via decentralized output feedback stabilization approach" . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2024) . |
| APA | Chen, Yangzhou , Tian, Lu , Chen, Bing . Periodic sampled-data-based dynamic event-triggered consensus of linear multiagent systems via decentralized output feedback stabilization approach . | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL , 2024 . |
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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 , 54 (12) : 7871-7883 . |
| 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 54 . 12 (2024) : 7871-7883 . |
| 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 , 54 (12) , 7871-7883 . |
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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, 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 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 ：
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 ：
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 ：
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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