Weihao Song - IEEE Xplore Author Profile
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Weihao Song

Publications
12
Citations
129
Publications by Year
20182024
Co-Authors:
Show All Co-Authors (14)
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Weihao Song

Affiliation

Department of Mechanics and Engineering Science
State Key Laboratory for Turbulence and Complex Systems
College of Engineering, Peking University, Beijing, China

Publication Topics

Biography

Weihao Song received the B.S. degree in flight vehicle design and engineering and the Ph.D. degree in aeronautical and astronautical science and technology from the Beijing Institute of Technology, Beijing, China, in 2016 and 2021, respectively.,From May 2019 to May 2020, he was a Visiting Scholar with the Department of Computer Science, Brunel University London, Uxbridge, U.K. He is currently a Post-Doctoral Researcher with the College of Engineering, Peking University, Beijing. His research interests include Bayesian state estimation, distributed state estimation, nonlinear filtering, and networked control systems.(Based on document published on 21 August 2023).
Publications
12
Citations
129
Publications by Year
20182024
Co-Authors:
Show All Co-Authors (14)
Author's Published Works

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Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends

Weihao Song;Zidong Wang;Zhongkui Li;Jianan Wang;Qing-Long Han

IEEE/CAA Journal of Automatica Sinica
Year: 2024 | Volume: 11, Issue: 7 | Journal Article |
Cited by: Papers (3)
The nonlinear filtering problem has enduringly been an active research topic in both academia and industry due to its ever-growing theoretical importance and practical significance. The main objective of nonlinear filtering is to infer the states of a nonlinear dynamical system of interest based on the available noisy measurements. In recent years, the advance of network communication technology h...Show More

Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends

Weihao Song;Zidong Wang;Zhongkui Li;Jianan Wang;Qing-Long Han

Year: 2024 | Volume: 11, Issue: 7 | Journal Article |

Maximum Correntropy Filtering for Complex Networks With Uncertain Dynamical Bias: Enabling Componentwise Event-Triggered Transmission

Weihao Song;Zidong Wang;Zhongkui Li;Qing-Long Han;Dong Yue

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Volume: 35, Issue: 12 | Journal Article |
Cited by: Papers (2)
This article is concerned with the maximum correntropy filtering (MCF) problem for a class of nonlinear complex networks subject to non-Gaussian noises and uncertain dynamical bias. With aim to utilize the constrained network bandwidth and energy resources in an efficient way, a componentwise dynamic event-triggered transmission (DETT) protocol is adopted to ensure that each sensor component indep...Show More

Maximum Correntropy Filtering for Complex Networks With Uncertain Dynamical Bias: Enabling Componentwise Event-Triggered Transmission

Weihao Song;Zidong Wang;Zhongkui Li;Qing-Long Han;Dong Yue

Year: 2024 | Volume: 35, Issue: 12 | Journal Article |

Particle-Filter-Based State Estimation for Delayed Artificial Neural Networks: When Probabilistic Saturation Constraints Meet Redundant Channels

Weihao Song;Zidong Wang;Zhongkui Li;Qing-Long Han

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Volume: 35, Issue: 3 | Journal Article |
Cited by: Papers (5)
In this brief, the state estimation problem is investigated for a class of randomly delayed artificial neural networks (ANNs) subject to probabilistic saturation constraints (PSCs) and non-Gaussian noises under the redundant communication channels. A series of mutually independent Bernoulli distributed white sequences are introduced to govern the random occurrence of the time delays, the saturatio...Show More

Particle-Filter-Based State Estimation for Delayed Artificial Neural Networks: When Probabilistic Saturation Constraints Meet Redundant Channels

Weihao Song;Zidong Wang;Zhongkui Li;Qing-Long Han

Year: 2024 | Volume: 35, Issue: 3 | Journal Article |

Fixed-Time Impact Time Control Guidance Law for Missiles With Input Saturation Constraints Against Maneuvering Targets

Xiangjun Ding;Jianan Wang;Weihao Song;Jiayuan Shan

2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper is concerned with the fixed-time impact time control guidance (ITCG) problem against maneuvering targets. Firstly, the fixed-time observers are adopted to estimate the maneuvering target’s unknown acceleration. Then, a fixed-time ITCG law is derived by resorting to the time-to-go of deviated pursuit guidance, where the unknown target acceleration is compensated based on the estimates ob...Show More

Fixed-Time Impact Time Control Guidance Law for Missiles With Input Saturation Constraints Against Maneuvering Targets

Xiangjun Ding;Jianan Wang;Weihao Song;Jiayuan Shan

Year: 2023 | Conference Paper |

Protocol-Based Particle Filtering for Nonlinear Complex Networks: Handling Non-Gaussian Noises and Measurement Censoring

Weihao Song;Zidong Wang;Zhongkui Li;Hongli Dong;Qing-Long Han

IEEE Transactions on Network Science and Engineering
Year: 2023 | Volume: 10, Issue: 1 | Journal Article |
Cited by: Papers (15)
In this paper, the particle filtering problem is investigated for a class of discrete-time nonlinear complex networks with stochastic perturbations under the scheduling of random access protocol. The stochastic perturbations stem from the on-off stochastic coupling, non-Gaussian noises and measurement censoring. The random occurrence of the on-off node coupling is governed by a set of Bernoulli di...Show More

Protocol-Based Particle Filtering for Nonlinear Complex Networks: Handling Non-Gaussian Noises and Measurement Censoring

Weihao Song;Zidong Wang;Zhongkui Li;Hongli Dong;Qing-Long Han

Year: 2023 | Volume: 10, Issue: 1 | Journal Article |

Resilient Unscented Kalman Filtering Fusion With Dynamic Event-Triggered Scheme: Applications to Multiple Unmanned Aerial Vehicles

Chunyu Li;Zidong Wang;Weihao Song;Shixin Zhao;Jianan Wang;Jiayuan Shan

IEEE Transactions on Control Systems Technology
Year: 2023 | Volume: 31, Issue: 1 | Journal Article |
Cited by: Papers (22)
In this article, the resilient unscented Kalman filtering fusion issue is investigated for a class of nonlinear systems under the dynamic event-triggered mechanism where each sensor node transmits the measurement information to its corresponding local filter in an intermittent way. Compared with its static counterpart, the dynamic event-triggered scheme is capable of scheduling the frequency of da...Show More

Resilient Unscented Kalman Filtering Fusion With Dynamic Event-Triggered Scheme: Applications to Multiple Unmanned Aerial Vehicles

Chunyu Li;Zidong Wang;Weihao Song;Shixin Zhao;Jianan Wang;Jiayuan Shan

Year: 2023 | Volume: 31, Issue: 1 | Journal Article |

Secure Particle Filtering for Cyber-Physical Systems With Binary Sensors Under Multiple Attacks

Weihao Song;Zidong Wang;Jianan Wang;Fuad E. Alsaadi;Jiayuan Shan

IEEE Systems Journal
Year: 2022 | Volume: 16, Issue: 1 | Journal Article |
Cited by: Papers (11)
This article is concerned with the secure particle filtering problem for a class of discrete-time nonlinear cyber-physical systems with binary sensors in the presence of non-Gaussian noises and multiple malicious attacks. The multiple attacks launched by the adversaries, which take place in a random manner, include the denial-of-service attacks, the deception attacks, and the flipping attacks. Thr...Show More

Secure Particle Filtering for Cyber-Physical Systems With Binary Sensors Under Multiple Attacks

Weihao Song;Zidong Wang;Jianan Wang;Fuad E. Alsaadi;Jiayuan Shan

Year: 2022 | Volume: 16, Issue: 1 | Journal Article |

Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach

Weihao Song;Zidong Wang;Jianan Wang;Fuad E. Alsaadi;Jiayuan Shan

IEEE Transactions on Signal Processing
Year: 2021 | Volume: 69 | Journal Article |
Cited by: Papers (35)
This paper investigates the particle filtering problem for a class of nonlinear/non-Gaussian systems under the dynamic event-triggered protocol. In order to avert frequent data transmission and reduce the communication overhead, a dynamic event-triggered transmission mechanism is adopted to decide whether the data should be transmitted or not. We first consider a scenario where all sensor nodes se...Show More

Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach

Weihao Song;Zidong Wang;Jianan Wang;Fuad E. Alsaadi;Jiayuan Shan

Year: 2021 | Volume: 69 | Journal Article |

Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations

Weihao Song;Zidong Wang;Jianan Wang;Fuad E. Alsaadi;Jiayuan Shan

IEEE Transactions on Signal Processing
Year: 2021 | Volume: 69 | Journal Article |
Cited by: Papers (33)
In this paper, the particle filtering problem is investigated for a class of nonlinear/non-Gaussian systems with energy harvesting sensors subject to randomly occurring sensor saturations (ROSSs). The random occurrences of the sensor saturations are characterized by a series of Bernoulli distributed stochastic variables with known probability distributions. The energy harvesting sensor transmits i...Show More

Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations

Weihao Song;Zidong Wang;Jianan Wang;Fuad E. Alsaadi;Jiayuan Shan

Year: 2021 | Volume: 69 | Journal Article |

Remote State Estimation for Jump Markov Nonlinear Systems: A Stochastic Event-Triggered Approach

Weihao Song;Jianan Wang;Dandan Wang;Chunyan Wang;Jiayuan Shan

2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
This paper investigates the remote state estimation issue for the jump Markov nonlinear systems (JMNLSs) with the stochastic event-triggered transmission strategy. For the purpose of saving the scarce network resources, the stochastic event-triggered communication is employed to cut down the number of measurement transmission. The interacting multiple model (IMM) scheme is incorporated due to its ...Show More

Remote State Estimation for Jump Markov Nonlinear Systems: A Stochastic Event-Triggered Approach

Weihao Song;Jianan Wang;Dandan Wang;Chunyan Wang;Jiayuan Shan

Year: 2020 | Conference Paper |

Event-Triggered Cooperative Unscented Kalman Filtering

Weihao Song;Jianan Wang;Chunyan Wang;Jiayuan Shan

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Fin...Show More

Event-Triggered Cooperative Unscented Kalman Filtering

Weihao Song;Jianan Wang;Chunyan Wang;Jiayuan Shan

Year: 2018 | Conference Paper |

Event-Triggered Distributed Extended Kalman Filtering with Randomly Occurring Deception Attack: A Variance-Constrained Approach

Weihao Song;Jianan Wang;Jiayuan Shan;Housheng Su

2018 37th Chinese Control Conference (CCC)
Year: 2018 | Conference Paper |
In this paper, a distributed extended Kalman filtering algorithm is developed for a class of discrete-time nonlinear systems subject to stochastic disturbances and randomly occurring deception attacks. In order to utilize the limited communication and computation resources efficiently, the event-triggered communication scheme is introduced such that data transmission is executed only when the pred...Show More

Event-Triggered Distributed Extended Kalman Filtering with Randomly Occurring Deception Attack: A Variance-Constrained Approach

Weihao Song;Jianan Wang;Jiayuan Shan;Housheng Su

Year: 2018 | Conference Paper |

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