Honghong Wang

Qingdao University

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i-10 index

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Bing Chen

Qingdao University

Chong Lin

Qingdao University

Yumei Sun

Shandong University of Science and Technology

Gang Xu

Hubei Engineering University

Huibin Sui

Shandong University

Fang Wang

Wenzhou Medical University

Zhengxin Liu

Shanghai Institute of Microsystem and Information Technology

Haitao Ran

Chongqing Medical University

Hao Li

Tsinghua University

Shaowei Zhou

Peking University

Cooperative Institutions

Qingdao University

Chinese Academy of Sciences

Huazhong University of Science and Technology

Central South University

Peking University

Lawrence Berkeley National Laboratory

Shandong University

Fritz Haber Institute of the Max Planck Society

Jilin University

University of Chinese Academy of Sciences

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Dipolar angular distributions and branching ratio of xenon 4d photoelectrons in the photon energy range of 100-250 eV

Honghong Wang G. Snell O. Hemmers B. Langer M. M. Sant’Anna

Photoelectric effect

Branching (polymer chemistry)

Photon energy

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A comprehensive review on research methods for lithium-ion battery of state of health estimation and end of life prediction: Methods, properties, and prospects

Protection and Control of Modern Power Systems (2024)

Jiahui Ren Jinkai Ma Honghong Wang Teng Yu Kai Wang

State of health

10.23919/pcmp.2024.000211

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Output-feedback control for MIMO nonlinear systems with input Saturations

2022 34th Chinese Control and Decision Conference (CCDC) (2017)

Honghong Wang Bing Chen Chong Lin Yumei Sun

The fuzzy adaptive output-feedback control is considered for a class of multi-input and multi-output (MIMO) nonlinear systems with input saturations. Because only the output is measurable, an observer is structured at first to estimate the unmeasurable state variables. With the nonlinearities unavailable, the fuzzy logic systems (FLSs) are applied as approximators and observer-based adaptive controllers are derived. By combing Lyapunov stability theory, backstepping technique and adaptive technology, we can prove that the resulting closed-loop systems are stable in the sense of semi-global uniform ultimate boundedness. At last, the simulations are performed and simulating results exhibit the effectiveness of the presented control method.

Observer (physics)

Lyapunov stability

Adaptive system

Combing

10.1109/ccdc.2017.7979267

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Observer-based neural adaptive control for a class of MIMO delayed nonlinear systems with input nonlinearities

Neurocomputing (2017)

Honghong Wang Bing Chen Chong Lin Yumei Sun

Observer (physics)

10.1016/j.neucom.2017.10.045

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Citations (12)

Remote meter reading system based on GPRS used in substations

Telecommunications for Electric Power System (2007)

Huibin Sui Honghong Wang Hongwei Wang XU Chun-hua

This paper presents a remote meter reading system based on GPRS for power substations by combining the wireless communication technology with computer technique.It discusses the process of GPRS wireless network communication,including the GPRS networking and meter reading server.The paper also introduces in detail the program coded by MFC and Win Socket.Furthermore,some source code written by Socket is provided and the whole operation procedure is introduced.The operation results show that the system enjoys high transmission rate,high reliability and economic efficiency.It can meet the requirement of remote meter reading in power stations.

Automatic meter reading

Electricity meter

GPRS core network

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Citations (6)

Observer-based adaptive fuzzy tracking control for a class of MIMO nonlinear systems with unknown dead zones and time-varying delays

International Journal of Systems Science (2019)

Honghong Wang Bing Chen Chong Lin Yumei Sun

The adaptive tracking control strategy is investigated for a class of multi-input and multi-output pure-feedback nonlinear delayed systems with unknown dead-zone inputs. This problem is challenging due to the existence of unknown dead zones, time-varying delays and unavoidable state variables. By constructing fuzzy approximators and state observers, the difficulties from unknown nonlinearities and unavailable state variables are surmounted, respectively. Lyapunov–Krasovskii functions are introduced to deal with the time-varying delays. The adaptive controllers are designed by a backstepping method and adaptive technique so that the closed-loop systems remain stable and the target signals can be tracked within a small error as well. At last, two examples are provided to show the effectiveness of the proposed scheme.

Dead zone

Observer (physics)

Tracking error

Tracking (education)

10.1080/00207721.2018.1563224

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Citations (16)

Compressed Sensing based on Wavelet Tree Model in Wireless Sensor Networks

Journal of Convergence Information Technology (2013)

Weijun Su Honghong Wang Chongchong Yu Mingxing Li

Tree (set theory)

10.4156/jcit.vol8.issue9.122

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Fuzzy-approximation-based decentralized adaptive control for nonlinear large-scale systems with unknown interconnections by output feedback

Honghong Wang Bing Chen Chong Lin Yumei Sun Junhang Ding

The decentralized adaptive control method is proposed for a class of large-scale uncertain nonlinear systems with unknown interconnections, unavailable states and input saturations. The observer is used to reconstruct the system states. The unknown nonlinearities can be identified by the fuzzy logical systems (FLSs). By applying a separation technique, the restrictions coming from unknown interconnections are relaxed. Combing adaptive method, Lyapunov stability theory and backstepping technique, decentralized output feedback controllers are proposed to stabilize the resulting interconnected systems. Finally, simulation results are given to illustrate the effectiveness of the presented approach.

Observer (physics)

Decentralised system

Strict-feedback form

Lyapunov stability

Adaptive system

Combing

10.1109/ccdc.2019.8833327

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Citations (1)

Adaptive neural control for a class of stochastic non-strict-feedback nonlinear systems with time-delay

Neurocomputing (2016)

Yumei Sun Bing Chen Chong Lin Honghong Wang

Tracking error

10.1016/j.neucom.2016.06.060

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Citations (35)

Adaptive control for nonlinear large-scale systems with unavailable states and unknown virtual control coefficients

Honghong Wang Gang Xu Bing Chen Chong Lin Yumei Sun

Base on the approximation capability of fuzzy logical systems (FLSs), adaptive decentralized control is discussed for a class of large-scale nonlinear systems with unavailable states, input saturations and unknown virtual control coefficients. In order to overcome the challenges coming from unknown virtual control coefficients and system states, the convex combination method and the observer are applied, respectively. Combing Lyapunov stability theory and backstepping technique, a decentralized output feedback control strategy is proposed to stabilize the resulting interconnected systems. Finally, an example is given to illustrate the effectiveness of our results.

Lyapunov stability

Combing

Observer (physics)

Decentralised system

10.1109/ccdc52312.2021.9602479

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