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Yushun Tan - IEEE Xplore Author Profile
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Yushun Tan

Publications
19
Citations
237
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (29)
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Yushun Tan

Affiliation

School of Applied Mathematics
Nanjing University of Finance and Economics
Nanjing, Jiangsu, China

Publication Topics

Biography

Yushun Tan was born in Linyi, Shandong, China, in 1977. He received the B.Sc. degree in mathematics and applied mathematics from Qufu Normal University, Qufu, China, in 2003, the M.Sc. degree in probability theory and mathematical statistics from the Huazhong University of Science and Technology, Wuhan, China, in 2006, and the Ph.D. degree in system engineering from Southeast University, Nanjing, in 2015.,Since 2006, he has been a Faculty Member with the College of Applied Mathematics, Nanjing University of Finance and Economics. Since 2016, he has been a Post-Doctoral Researcher with the School of Automation, Southeast University. He is currently a Visiting Fellow with the City University of Hong Kong. His current research interests includ...
Publications
19
Citations
237
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (29)
Author's Published Works

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Dynamic-Memory Event-Triggered Sliding-Mode Secure Control for Nonlinear Semi-Markov Jump Systems With Stochastic Cyber Attacks

Yushun Tan;Jiajing Liu;Xiangpeng Xie;Engang Tian;Jinliang Liu

IEEE Transactions on Automation Science and Engineering
Year: 2025 | Volume: 22 | Journal Article |
Cited by: Papers (17)
This paper presents an investigation of the sliding-mode secure control for nonlinear semi-Markov jump systems in the presence of non-periodic denial-of-service attacks and false data injection attacks. First of all, we employ Takagi-Sugeno fuzzy model to describe the nonlinear semi-Markov jump control systems. In order to optimize transmission efficiency and control performance, a novel dynamic-m...Show More

Dynamic-Memory Event-Triggered Sliding-Mode Secure Control for Nonlinear Semi-Markov Jump Systems With Stochastic Cyber Attacks

Yushun Tan;Jiajing Liu;Xiangpeng Xie;Engang Tian;Jinliang Liu

Year: 2025 | Volume: 22 | Journal Article |

Quantized Sliding Mode Control for Semi-Markovian Jump Systems with Partially Accessible Transition Rates and Asymmetric Dead Zone Input

Jingjing Liu;Xiaoming Chen;Qingling Zhang;Yushun Tan

2023 42nd Chinese Control Conference (CCC)
Year: 2023 | Conference Paper |
The problem of sliding-mode control (SMC) design is investigated for semi-Markovian jump systems (S-MJSs) with uncertain parameters. Compared with previous literature, the effects of signals quantization and asymmetric dead-zone input are considered simultaneously. To ensure stochastic stability of the corresponding system with generally uncertain transition rate (TR), we present sufficient condit...Show More

Quantized Sliding Mode Control for Semi-Markovian Jump Systems with Partially Accessible Transition Rates and Asymmetric Dead Zone Input

Jingjing Liu;Xiaoming Chen;Qingling Zhang;Yushun Tan

Year: 2023 | Conference Paper |

Event-Triggered Sliding-Mode Control for Fuzzy Semi-Markovian Jump Systems With Dead Zone Input and Application to Circuit Systems

Yushun Tan;Jiajing Liu;Xiangpeng Xie;Engang Tian;Jinliang Liu

IEEE Transactions on Circuits and Systems II: Express Briefs
Year: 2023 | Volume: 70, Issue: 9 | Journal Article |
Cited by: Papers (15)
This brief investigates event-triggered sliding mode control (SMC) for fuzzy semi-Markovian jump systems (S-MJSs) subject to limited communication capacity, in which we consider the network-induced transmission delay, dead-zone input and partially unknown transition rates of jumping mode in a whole framework. First, an event-triggered mechanism (ETM) is employed in the sensor-to-controller channel...Show More

Event-Triggered Sliding-Mode Control for Fuzzy Semi-Markovian Jump Systems With Dead Zone Input and Application to Circuit Systems

Yushun Tan;Jiajing Liu;Xiangpeng Xie;Engang Tian;Jinliang Liu

Year: 2023 | Volume: 70, Issue: 9 | Journal Article |

Observer-Based Event-Triggered Control for Interval Type-2 Fuzzy Networked System With Network Attacks

Yushun Tan;Ye Yuan;Xiangpeng Xie;Engang Tian;Jinliang Liu

IEEE Transactions on Fuzzy Systems
Year: 2023 | Volume: 31, Issue: 8 | Journal Article |
Cited by: Papers (62)
This article is focused on the adaptive event-based interval type-2 (IT-2) fuzzy security control problem for networked control systems with multiple network attacks. In order to save the network resources, this article proposes an improved adaptive event-triggered model, which can adjust the threshold dynamically according to the change of current signal and previous triggering signal. In additio...Show More

Observer-Based Event-Triggered Control for Interval Type-2 Fuzzy Networked System With Network Attacks

Yushun Tan;Ye Yuan;Xiangpeng Xie;Engang Tian;Jinliang Liu

Year: 2023 | Volume: 31, Issue: 8 | Journal Article |

Observer-Based Security Control for Interconnected Semi-Markovian Jump Systems With Unknown Transition Probabilities

Yushun Tan;Qingyi Liu;Jinliang Liu;Xiangpeng Xie;Shumin Fei

IEEE Transactions on Cybernetics
Year: 2022 | Volume: 52, Issue: 9 | Journal Article |
Cited by: Papers (44)
This article investigates the issue of observer-based security control for the interconnected semi-Markovian jump systems with completely unknown and uncertain bounded transition probabilities (TPs). Considering the limited bandwidth of communication network in each subsystem, an adaptive event-triggered mechanism (AETM) is developed to relieve more network burden than the conventional event-trigg...Show More

Observer-Based Security Control for Interconnected Semi-Markovian Jump Systems With Unknown Transition Probabilities

Yushun Tan;Qingyi Liu;Jinliang Liu;Xiangpeng Xie;Shumin Fei

Year: 2022 | Volume: 52, Issue: 9 | Journal Article |

Adaptive Event-Triggered Nonfragile State Estimation for Fractional-Order Complex Networked Systems With Cyber Attacks

Yushun Tan;Menghui Xiong;Baoyong Zhang;Shumin Fei

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2022 | Volume: 52, Issue: 4 | Journal Article |
Cited by: Papers (34)
This article addresses the adaptive event-triggered nonfragile state estimation for the fractional-order complex networked systems subject to randomly occurring nonlinearities and adversarial network attacks, in which the order of fractional derivative operator satisfies $0 < p < 1$ . To reduce unnecessary transmission burden as much as possible in an allowable range, an adaptive event-triggered ...Show More

Adaptive Event-Triggered Nonfragile State Estimation for Fractional-Order Complex Networked Systems With Cyber Attacks

Yushun Tan;Menghui Xiong;Baoyong Zhang;Shumin Fei

Year: 2022 | Volume: 52, Issue: 4 | Journal Article |

Adaptive Event-Based Non-Fragile Output Pinning Synchronization Control for Complex Networks With Random Saturations and Cyber-Attacks

Yuting Zhu;Rongqing Pan;Yushun Tan;Shumin Fei

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
This paper addresses the adaptive event-triggered non-fragile output pinning synchronization control for complex networks subject to random saturations and cyber-attacks. An adaptive event-triggered scheme (AETS) based on the output synchronization error is proposed to save network bandwidth, and a pinning control strategy is employed to reduce the input of control signal. Considering the effect o...Show More

Adaptive Event-Based Non-Fragile Output Pinning Synchronization Control for Complex Networks With Random Saturations and Cyber-Attacks

Yuting Zhu;Rongqing Pan;Yushun Tan;Shumin Fei

Year: 2021 | Volume: 9 | Journal Article |

Observer-Based Finite-Time $H_\infty$ Control for Interconnected Fuzzy Systems With Quantization and Random Network Attacks

Yushun Tan;Qingyi Liu;Dongsheng Du;Ben Niu;Shumin Fei

IEEE Transactions on Fuzzy Systems
Year: 2021 | Volume: 29, Issue: 3 | Journal Article |
Cited by: Papers (45)
This article investigates the observer-based finite-time $H_\infty$ control problem for interconnected fuzzy systems with quantization and random network attacks, where two types of network attacks including denial-of-service (DoS) and fault data injection (FDI) attacks are considered. In order to achieve the occupancy reduction of network resources, the measured outputs of interconnected systems ...Show More

Observer-Based Finite-Time $H_\infty$ Control for Interconnected Fuzzy Systems With Quantization and Random Network Attacks

Yushun Tan;Qingyi Liu;Dongsheng Du;Ben Niu;Shumin Fei

Year: 2021 | Volume: 29, Issue: 3 | Journal Article |

Observer-based distributed event-triggered control of Markov linear system over saturation sensor network

Qing Li;Qingyi Liu;Yushun Tan

2020 39th Chinese Control Conference (CCC)
Year: 2020 | Conference Paper |
Under the consideration of distributed adaptive event-triggered communication scheme and cyber-attacks, the paper focuses the observer-based H∞ control issue for Markov jump linear systems over stochastic saturation sensor networks. To describe physical systems with abrupt variations, the system parameters and the network structure composed of a group of sensor nodes are modeled by Markovian switc...Show More

Observer-based distributed event-triggered control of Markov linear system over saturation sensor network

Qing Li;Qingyi Liu;Yushun Tan

Year: 2020 | Conference Paper |

Robust State Estimation for Fractional-Order Nonlinear Uncertain Systems via Adaptive Event-Triggered Communication Scheme

Menghui Xiong;Guiyin Ju;Yushun Tan

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (6)
This paper is concerned with the adaptive event-triggered robust state estimation for a class of fractional-order nonlinear uncertain systems, where the fractional order satisfies 0 <; α <; 1. To save bandwidth resources effectively, an adaptive event-triggered scheme (AETS) is proposed to judge whether the measurement output of the sensor needs to be released to the estimator or not. Firstly, by ...Show More

Robust State Estimation for Fractional-Order Nonlinear Uncertain Systems via Adaptive Event-Triggered Communication Scheme

Menghui Xiong;Guiyin Ju;Yushun Tan

Year: 2019 | Volume: 7 | Journal Article |

Event-driven synchronization of chaotic neural networks subject to actuator saturation

Liuwen Li;Wenlin Zou;Jie Cao;Shumin Fei;Yushun Tan

2018 37th Chinese Control Conference (CCC)
Year: 2018 | Conference Paper |
This paper discusses event-driven synchronization control problem for chaotic neural networks subject to actuator saturation. Firstly, in order to reduce the load of network, the event-driven scheme is introduced to determine whether the sampled state should be sent to the controller. Secondly, a synchronization error model is constructed to describe the master-slave synchronization system with ev...Show More

Event-driven synchronization of chaotic neural networks subject to actuator saturation

Liuwen Li;Wenlin Zou;Jie Cao;Shumin Fei;Yushun Tan

Year: 2018 | Conference Paper |

Distributed $H_{\infty}$ Filter Design Over Sensor Network with Output Saturations: a Hybrid-Triggered Method

Yushun Tan;Menghui Xiong

2018 37th Chinese Control Conference (CCC)
Year: 2018 | Conference Paper |
By using hybrid-triggered method, this paper investigates the distributed H∞ filter design problem for networked control systems (NCSs) over sensor network with output saturations. The distributed hybrid-triggered transmission scheme (DHTTS) under the sensor output saturations is first proposed to solve the filter design, which can get a balance of saving network resources and improving systems pe...Show More

Distributed $H_{\infty}$ Filter Design Over Sensor Network with Output Saturations: a Hybrid-Triggered Method

Yushun Tan;Menghui Xiong

Year: 2018 | Conference Paper |

Event-Driven Synchronization of Lur'e System Subject to Cyber Attack

Liuwen Li;Wenlin Zou;Jie Cao;Yushun Tan;Shumin Fei

2018 37th Chinese Control Conference (CCC)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
This paper studies event-driven synchronization control problem for chaotic Lur'e system with cyber attack. Firstly, In order to save network bandwidth resources, the event-driven scheme is employed to determine whether the sampled state should be transmitted to the controller. Secondly, a synchronization error model is designed to describe the master-slave synchronization system with event-driven...Show More

Event-Driven Synchronization of Lur'e System Subject to Cyber Attack

Liuwen Li;Wenlin Zou;Jie Cao;Yushun Tan;Shumin Fei

Year: 2018 | Conference Paper |

Co-design of event generator and synchronous controller for chaotic neural networks with quantization

Liuwen Li;Wenlin Zou;Shumin Fei;Yushun Tan

2018 37th Chinese Control Conference (CCC)
Year: 2018 | Conference Paper |
This paper studies co-design of event generator and synchronous controller for chaotic neural networks with quantization. A quantized event-triggered scheme is presented to reduce the load of network transmission. Sufficient stabilization conditions for synchronization error system are derived on the basis of Lyapunov-Krasovskii functional. Based on the above stability condition, a co-designed par...Show More

Co-design of event generator and synchronous controller for chaotic neural networks with quantization

Liuwen Li;Wenlin Zou;Shumin Fei;Yushun Tan

Year: 2018 | Conference Paper |

Influence Area of Overlap Singularity in Multilayer Perceptrons

Weili Guo;Yuan Yang;Yingjiang Zhou;Yushun Tan;Haikun Wei;Aiguo Song;Guochen Pang

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (7)
The existing overlap singularities in the parameter space significantly affect the learning dynamics of the multilayer perceptrons. From the obtained theoretical learning trajectories near overlap singularity, when the learning process has been affected by the overlap singularity, the influence area of the overlap singularity is just the line space where the two hidden units equal to each other. H...Show More

Influence Area of Overlap Singularity in Multilayer Perceptrons

Weili Guo;Yuan Yang;Yingjiang Zhou;Yushun Tan;Haikun Wei;Aiguo Song;Guochen Pang

Year: 2018 | Volume: 6 | Journal Article |

Quantized H∞ state estimation for networked control systems: A hybrid-triggered method

Yushun Tan;Menghui Xiong

2018 Chinese Control And Decision Conference (CCDC)
Year: 2018 | Conference Paper |
This paper is concerned with the state estimation problem for hybrid-triggered networked control systems (NCSs) with stochastic nonlinearity and quantization. In order to establish a higher utilization of the network resources, a hybrid-triggered transmission scheme (HTTS) and measurement size reduction scheme are introduced. Firstly, the HTTS is presented such that the signal can be transmitted a...Show More

Quantized H∞ state estimation for networked control systems: A hybrid-triggered method

Yushun Tan;Menghui Xiong

Year: 2018 | Conference Paper |

Event-based H∞ filter design for T-S fuzzy systems with randomly occurring sensor saturations

Yushun Tan;Jinliang Liu;Yuanyuan Zhang

2015 34th Chinese Control Conference (CCC)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
In this paper, the event-based H∞ filtering problem is investigated for a Takagi-Sugeno(T-S) fuzzy systems with randomly occurring sensor saturations(ROSS). For the purpose of reducing communication, an event-triggered scheme is introduced to the networked control systems. Under this scheme, the sensor dada will be transmitted only when the sampled measurements violating specified triggering condi...Show More

Event-based H∞ filter design for T-S fuzzy systems with randomly occurring sensor saturations

Yushun Tan;Jinliang Liu;Yuanyuan Zhang

Year: 2015 | Conference Paper |

Transportaton and eect on economic growth based on optmal control theory

Yushun Tan;Senfa Chen;Yuanyuan Zhang;Jinliang Liu

The 26th Chinese Control and Decision Conference (2014 CCDC)
Year: 2014 | Conference Paper |
In order to study the relationship between transporation and economic growth from he macro, in this paper he concepts of impact factor and converson efficiency of tansporation level are introduced. Based on the analyss of New-Clascal Growth Theory, an economic growth model wih transporation factors is set up. Through analyss of he model the action mechanism and influence path of tansporation on re...Show More

Transportaton and eect on economic growth based on optmal control theory

Yushun Tan;Senfa Chen;Yuanyuan Zhang;Jinliang Liu

Year: 2014 | Conference Paper |

Pattern recognition based on weighted fuzzy C-means clustering

Yushun Tan;Senfa Chen

2013 6th International Congress on Image and Signal Processing (CISP)
Year: 2013 | Conference Paper |
Cited by: Papers (5)
In data mining, fuzzy C-means clustering algorithm has demonstrated advantage in dealing with the challenges posed by large collections of vague and uncertain data. This paper reviews concept of fuzzy C-means clustering which is widely used in context of pattern recognition. Based on the study of the fuzzy C-means algorithm, we propose a weighted local fuzzy regression model. The efficiency of the...Show More

Pattern recognition based on weighted fuzzy C-means clustering

Yushun Tan;Senfa Chen

Year: 2013 | Volume: 2 | Conference Paper |

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