Bin Jiang

Nanjing University of Aeronautics and Astronautics

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Hao Yang

Harbin Engineering University

106

Peng Shi

University of Adelaide

Ke Zhang

Nanjing University of Aeronautics and Astronautics

Youmin Zhang

Concordia University

Zehui Mao

Nanjing University of Aeronautics and Astronautics

Ningyun Lu

Nanjing University of Aeronautics and Astronautics

Gang Tao

C&R Technologies (United States)

Yajie Ma

Nanjing University of Aeronautics and Astronautics

Vincent Cocquempot

Centre de Recherche en Informatique

Yuehua Cheng

Nanjing University of Aeronautics and Astronautics

Cooperative Institutions

Nanjing University of Aeronautics and Astronautics

268

Chinese Academy of Sciences

Nanjing University

Jinan University

Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality

Zhejiang University

Shanghai Jiao Tong University

Northeastern University

Southeast University

Harbin Institute of Technology

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Incipient anomaly detection for railway vehicle door system based on adaptive mean shift clustering

Geun-Seok Han Y. Zhang Ningyun Lu Bin Jiang Zhigang Xu

Reliability of door system is directly related to the operation safety of railway vehicles. However, door system is with high failure rate. Accurate detection of the early-stage incipient anomalies is an urgent need in the field of railway transportation. This paper proposes an Adaptive Mean Shift Clustering (AMSC) algorithm, which can successfully detect and isolate common and frequent anomalies in railway vehicle door systems. At the same time, the proposed AMSC algorithm has superior ability for outlier rejection, hence makes it suitable for practical applications. Comparative experiments show that, the proposed AMSC based incipient anomaly detection method outperforms the density-based spatial clustering of applications with noise (DBSCAN) based method for railway vehicle door systems.

DBSCAN

Mean-shift

Anomaly (physics)

10.1109/cac.2017.8242967

Cite

Citations (6)

Faulty Plant Reconfiguration Based on Disturbance Decoupling Methods

Asian Journal of Control (2015)

Arvo Kaldmäe Ülle Kotta Bin Jiang Alexey Shumsky Alexey Zhirabok

Abstract The disturbance decoupling problem by dynamic measurement feedback (DDDPM) for discrete‐time nonlinear control systems is considered in this paper. The mathematical approach known under the name “the algebra of functions” is used to derive an algorithm that finds, whenever possible, a measurement feedback which solves the DDDPM. Finally, the applicability of the DDDPM in fault tolerant control (FTC) is discussed.

Decoupling (probability)

Control reconfiguration

10.1002/asjc.1185

Cite

Citations (17)

Online Adaptive Policy Learning Algorithm for $H_{\infty }$ State Feedback Control of Unknown Affine Nonlinear Discrete-Time Systems

IEEE Transactions on Cybernetics (2014)

Huaguang Zhang Chunbin Qin Bin Jiang Yanhong Luo

The problem of H∞ state feedback control of affine nonlinear discrete-time systems with unknown dynamics is investigated in this paper. An online adaptive policy learning algorithm (APLA) based on adaptive dynamic programming (ADP) is proposed for learning in real-time the solution to the Hamilton-Jacobi-Isaacs (HJI) equation, which appears in the H∞ control problem. In the proposed algorithm, three neural networks (NNs) are utilized to find suitable approximations of the optimal value function and the saddle point feedback control and disturbance policies. Novel weight updating laws are given to tune the critic, actor, and disturbance NNs simultaneously by using data generated in real-time along the system trajectories. Considering NN approximation errors, we provide the stability analysis of the proposed algorithm with Lyapunov approach. Moreover, the need of the system input dynamics for the proposed algorithm is relaxed by using a NN identification scheme. Finally, simulation examples show the effectiveness of the proposed algorithm.

Feedback Control

10.1109/tcyb.2014.2313915

Cite

Citations (213)

Distributed consensus of multiple nonholonomic mobile robots

IEEE/CAA Journal of Automatica Sinica (2014)

Kecai Cao Bin Jiang Dong Yue

Consensus problems of multiple nonholonomic mobile robots are considered in this paper. These problems are simplified into consensus problems of two subsystems based on structure of nonholonomic mobile robots. Linear distributed controllers are constructed respectively for these two subsystems thanks to the theory of nonautonomous cascaded systems. Consensus of multiple nonholonomic mobile robots has been realized using the methodology proposed in this paper no matter whether the group reference signal is persistent excitation or not. Different from previous research on cooperative control of nonholonomic mobile robots where the consensus problem under persistent exciting reference has received a lot of attention, this paper reports the first consensus result for multiple nonholonomic mobile robots whose group reference converges to zero. Simulation results using Matlab illustrate the effectiveness of the proposed controllers in this paper.

Nonholonomic system

10.1109/jas.2014.7004546

Cite

Citations (23)

Fuzzy unknown input observer-based robust fault estimation design for discrete-time fuzzy systems

Signal Processing (2016)

Ke Zhang Bin Jiang Vincent Cocquempot

Observer (physics)

Linear matrix inequality

10.1016/j.sigpro.2016.03.015

Cite

Citations (49)

Online ADP based Oxygen Excess Ratio Control of the PEM Fuel Cell System Applying to UAVs

2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2020)

Jing Zhu Peng Zhang Bin Jiang

The excess ratio control of PEM fuel cells systems is investigated in this paper with the use of double loop cascade control structure. In the outer loop, an improved super-twisting control algorithm is proposed which is robust against dynamics and disturbances in UAVs. As for the inner loop, the optimal tracking controller based upon adaptive dynamic programming (ADP) is exploited to adaptively approximate the optimal control policy, where the weights of neural networks are updated real-time. Simulation results are demonstrated with comparison between the traditional cascaded super twisting control scheme and the ADP based scheme.

Inner loop

Tracking (education)

10.1109/icuas48674.2020.9213845

Cite

Citations (1)

Observer-based Fault Tolerant Control for Constrained Switched Systems

HAL (Le Centre pour la Communication Scientifique Directe) (2007)

Hao Yang Bin Jiang Vincent Cocquempot

An observer-based fault tolerant control (FTC) method is proposed for constrained switched systems (CSS) with input constraints. A family of Lyapunov-based bounded controllers are designed to ensure that, whenever actuator faults occur at the dwell time period of each continuous mode, the mode is always within its corresponding stability region. A set of switching laws are designed to guarantee the asymptotic stability of the overall CSS. The fixed stability regions on which the FTC method is based are also relaxed by the proposed variable stability regions. An example of CPU processing illustrates the effectiveness of proposed method.

Dwell time

Observer (physics)

Mode (computer interface)

Lyapunov stability

Source

Cite

Citations (16)

A Fault Prognosis Strategy Based on Time‐Delayed Digraph Model and Principal Component Analysis

Mathematical Problems in Engineering (2012)

Ningyun Lu Bin Jiang Lei Wang Jianhua Lu Xi Chen

Because of the interlinking of process equipments in process industry, event information may propagate through the plant and affect a lot of downstream process variables. Specifying the causality and estimating the time delays among process variables are critically important for data‐driven fault prognosis. They are not only helpful to find the root cause when a plant‐wide disturbance occurs, but to reveal the evolution of an abnormal event propagating through the plant. This paper concerns with the information flow directionality and time‐delay estimation problems in process industry and presents an information synchronization technique to assist fault prognosis. Time‐delayed mutual information (TDMI) is used for both causality analysis and time‐delay estimation. To represent causality structure of high‐dimensional process variables, a time‐delayed signed digraph (TD‐SDG) model is developed. Then, a general fault prognosis strategy is developed based on the TD‐SDG model and principle component analysis (PCA). The proposed method is applied to an air separation unit and has achieved satisfying results in predicting the frequently occurred “nitrogen‐block” fault.

Digraph

Causality

Information flow

Component (thermodynamics)

10.1155/2012/937196

Cite

Citations (2)

Interval observer and unknown input observer-based sensor fault estimation for high-speed railway traction motor

Journal of the Franklin Institute (2019)

Yang Tian Ke Zhang Bin Jiang Xing‐Gang Yan

Observer (physics)

Traction motor

10.1016/j.jfranklin.2019.11.062

Cite

Citations (30)

Hermits' Moral Education Role in the Han Dynasty and Its Enlightenment for Contemporary Era

Journal of Wuling (2013)

Bin Jiang

The Han government attached importance to moral education and the hermits in Han dynasty played a unique role in it. On the one hand, the government used consciously hermits to promote moral education; on the other hand, the hermits took part in moral education consciously and unconsciously by their own conducts. Most of the hermits lived in rural areas and they played a positive role in the purification of rural morality, which was beneficial to the stability of the basic-level organizations and thus the management of the whole country. The hermits' moral education role in the Han Dynasty and the hermit spirit has positive enlightenment for the morality construction of contemporary era.

Moral Education

Source

Cite

Citations (0)