Qiang Xiao

Beijing Academy of Artificial Intelligence

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i-10 index

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Zhigang Zeng

Huazhong University of Science and Technology

Tingwen Huang

Texas A&M University at Qatar

Hanguang Fu

Beijing University of Technology

Frank L. Lewis

The University of Texas at Arlington

William D. Armstrong

University of Wyoming

Yin Sheng

Huazhong University of Science and Technology

Qiping Chen

China Academy of Engineering Physics

Luu Nguyen

Sejong University

Jingtao Man

Huazhong University of Science and Technology

Liping Zeng

Hunan Institute of Engineering

Cooperative Institutions

Huazhong University of Science and Technology

Central South University

Chinese Academy of Sciences

Ministry of Education of the People's Republic of China

Zhejiang University

East China Jiaotong University

North China Electric Power University

Beihang University

Hefei University of Technology

East China University of Science and Technology

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Histogram based fuzzy C-mean algorithm for image segmentation

Qing Ye Huang Hua Qiang Xiao

Since a real image is usually very complex, there must be some uncertainties and errors in image segmentation. The fuzzy C-mean (FCM) algorithm can overcome this problem, but the cost will be a large amount of computation time. The authors present an improved FCM algorithm which uses a histogram, instead of the gray function, to find centers of the gray level. Theoretical analysis and experiment results show that it can reduce the computing time significantly. >

Image histogram

Gray (unit)

Segmentation-based object categorization

10.1109/icpr.1992.202084

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Citations (11)

A simple method for extracting truncation error of numerical integration and differentiation

Journal of Baoji College of Arts and Science (2002)

Qiang Xiao

The generalied Peano theorem is given and proved for extracting trucation error of numerical integration and differentiation.The conception of algebraic preasion and the theorem are used to derive the truncation error of the Simpson formula,which is -b-a180(b-a2) 4f (4) (η) ,the formula of numerical differentiation like f″(a)≈α 1f(a)+α 2f′(a)+α 3f(b) and its truncation error,which is  -(b-a)/3f (3) (ξ 0).

Truncation error

Truncation (statistics)

Numerical differentiation

Error Analysis

Source

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Citations (0)

Heat treatment of multi-element low alloy wear-resistant steel

Materials Science and Engineering A (2005)

Hanguang Fu Qiang Xiao Hanfeng Fu

Tempering

Heat treating

Alloy steel

Carbon fibers

10.1016/j.msea.2005.01.023

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Citations (59)

The recognition system of the inaccurate fitting of one-off injectors on virtual instrument

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2008)

Zhengping Liu Qiang Xiao

The system that can recognize whether a pinhead is inaccurate fitting and location in hackle is introduced. The system includes several parts: lamp-house, pick-up camera, movement control card, step motor, hackle and switch. Image collected by pick-up camera is auto-threshold, binary, located and template matched. As there is a tilt between hackle and pins, collected image must be rectified before matching template. After the comparison of template and searching graph, the system can get similarity automatically, the inaccurate fitting pinhead can be recognized easily, and it also can give an alarm while there is inaccurate fitting. It is proved that recognizable ability and accuracy can meet the demand of the production completely by experiment.

Similarity (geometry)

10.1117/12.819776

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Citations (1)

Positivity and stability of coupled differential–difference equations with time-varying delay on time scales

Automatica (2021)

Qiang Xiao Zhigang Zeng Tingwen Huang Frank L. Lewis

Delay differential equation

Stability theory

10.1016/j.automatica.2021.109774

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Citations (8)

Enhancing thermal comfort prediction in high-speed trains through machine learning and physiological signals integration

Journal of Thermal Biology (2024)

Wen‐Jun Zhou Mingzhi Yang Xiaoyan Yu Yong Peng Chaojie Fan

10.1016/j.jtherbio.2024.103828

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Citations (3)

Passivity and Passification of Fuzzy Memristive Inertial Neural Networks on Time Scales

IEEE Transactions on Fuzzy Systems (2018)

Qiang Xiao Tingwen Huang Zhigang Zeng

A class of Takagi-Sugeno (T-S) fuzzy memristor-based inertial neural networks (FMINNs) is studied on time scales. The second-order derivative of the state variable in the network denotes the inertial term. At first, one timescale-type FMINNs is formulated on the basis of T-S fuzzy rules. By a variable transformation, the original network is transformed into first-order differential equations. Then, passivity criteria for the FMINNs are presented based on the characteristic function approach, linear matrix inequality techniques, and the calculus of time scales. Furthermore, two classes of control protocols, i.e., memristor- and fuzzy-related control protocols are designed to solve the passification problem for the considered FMINNs. The optimization problem of the passivity performance is also involved. Finally, simulation examples are given to show the effectiveness and validity of the obtained results, and an application is also given in pseudorandom number generation.

Memristor

Passivity

Time derivative

10.1109/tfuzz.2018.2825306

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Citations (80)

Event-Based Time-Interval Pinning Control for Complex Networks on Time Scales and Applications

IEEE Transactions on Industrial Electronics (2018)

Qiang Xiao Frank L. Lewis Zhigang Zeng

This paper studies the synchronization problem for linear complex dynamical networks (CDNs) on time scales. An intermittent dynamic time-interval pinning control strategy is designed to achieve synchronization for CDNs with the isolated node. Based on the Lyapunov approach and the theory of time scales, synchronization criteria are established for CDNs on general time scales. The main results in the paper show that, by controlling a proportion of the network nodes, the exponential synchronization can be achieved. Moreover, the infinitely fast switching of the pinning node set is avoided by means of the event-triggered strategy. According to our selection algorithm, the number of pinning nodes will be updated online at each pinning time. The modeling framework investigated in this paper is a unification and generalization of many existing continuous-time and discrete-time complex network models. Three numerical examples are given to illustrate the effectiveness and priority of the obtained results. Finally, the analytical results are applied to the distributed auxiliary control of microgrids and formation control of spacecraft.

Dwell time

10.1109/tie.2018.2813968

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Citations (50)

Signal Simulation of Target Tracking System of Fire-Control Radar Based on HLA

Advanced materials research (2014)

Qiang Xiao Zhuang Zhi Han Hong Wei Zhang

. Target tracking is not only an important operation mode of fire-control radar, but also the primary task of the fire-control system. Firstly, scalable and reusable signal-level target tracking simulation system of fire-control radar based on HLA is developed. Then starting from the signal-level simulation model, by antenna module, receiver and signal processing module, filtering and prediction module, control system modules being organically combined, target tracking system modeling and simulation is completed. The simulation result indicates that the simulation system can carry out the dynamical process of target tracking effectively, it is of some reference value for the research on training simulation system design of fire-control radar and electronic warfare system evaluation .

Fire-control system

SIGNAL (programming language)

Tracking (education)

Tracking system

10.4028/www.scientific.net/amr.926-930.1831

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Citations (1)

Synchronization of Timescale-Type Nonautonomous Neural Networks With Proportional Delays

IEEE Transactions on Systems Man and Cybernetics Systems (2021)

Qiang Xiao Tingwen Huang Zhigang Zeng

Synchronization of a class of drive-response timescale-type nonautonomous proportional-delayed neural networks (TNPNNs) is addressed in this article. The key technique to cope with the proportional term is using comparison principle. By timescale theory, inequality technique, and comparison principle, criteria of synchronization are obtained. The method used in this article is effective to cope with TNPNNs and it is a direct approach as well by eliminating the conventional exponential transformation. The obtained results are verified with three examples.

10.1109/tsmc.2021.3049363

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Citations (20)