Jun Zhao

China Jiliang University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Minglie Hu

Tianjin University

Yongfeng Lv

Taiyuan University of Technology

Jintao Fan

Tianjin University

Jing Na

Kunming University of Science and Technology

Guanbin Gao

Kunming University of Science and Technology

Ziliang Zhao

Shandong University of Science and Technology

Na Xiao

Guizhou Normal University

Ruoyu Liao

China Academy of Engineering Physics

Chingyue Wang

Tianjin University

Shuai Deng

South China University of Technology

Cooperative Institutions

Tianjin University

Chinese Academy of Sciences

Zhejiang University

Dalian University of Technology

Northeastern University

Kunming University of Science and Technology

Tsinghua University

Huazhong University of Science and Technology

Harbin Institute of Technology

Shanghai Jiao Tong University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Femtosecond Mamyshev oscillator with 10-MW-level peak power

Optica (2019)

Wu Liu Ruoyu Liao Jun Zhao Jiahua Cui Youjian Song

Ultrafast fiber lasers exhibit high broadband gain per pass, superior thermo-optical properties, and excellent beam quality, making them very suitable for practical use. For simplicity and efficiency, advanced mode-locked oscillator designs which can compete with the amplifier systems are always favorable. Here, we demonstrate a high-peak-power Mamyshev oscillator based on single-polarization, large-mode-area photonic crystal fibers. Using properly arranged filters, the fiber oscillator directly emits pulses with 9 W average power at 8 MHz repetition rate, corresponding to a single-pulse energy exceeding 1 μJ. The pulses are dechirped to 41 fs outside the cavity, leading to a record oscillator peak power as high as 13 MW. With such unprecedented performance, the proposed single-stage oscillator should be very attractive for various applications.

10.1364/optica.6.000194

Cite

Citations (131)

On the controllability of nonlinear systems with symmetry

Systems & Control Letters (1992)

Jun Zhao Siying Zhang

10.1016/0167-6911(92)90048-w

Cite

Citations (7)

HIGH-RISE BUILDINGS UNDER EARTHQUAKE EXCITATION: STABILIZATION USING SMC

IFAC Proceedings Volumes (2006)

Georgi M. Dimirovski Jun Zhao Miomir Vukobratović

Base isolation

Earthquake simulation

Mode (computer interface)

10.3182/20060912-3-de-2911.00134

Cite

Citations (2)

Towards intelligent management of regional building energy systems: A framework combined with deep reinforcement learning for hybrid energy storage

Energy Conversion and Management (2025)

Rendong Shen Ruifan Zheng Dongfang Yang Jun Zhao

10.1016/j.enconman.2025.119656

Cite

Citations (0)

A numerical analysis of power consumption differences between planning and operation stages using mutual information

Shengyuan Zhong Jun Zhao Hao Li Wenjia Li Yang Li

Building energy system that includes renewable energy is often considered as an effective method of saving energy and reducing emission. However, the energy consumption of the building energy system during the operational stage usually deviates from the expectation of the planning stage. The deviation causes the energy system to fail to play its role in energy conservation and emission reduction. Due to the intermittent and volatility of renewable energy optimization of supply side and demand side matching are often considered an effective way to reduce system energy consumption. This paper uses mutual information as a quantitative indicator to analyze the fluctuation of the energy consumption difference between the planning stage and operation stage. Firstly, a building energy system containing renewable energy and its control strategy is constructed as a planning model. Then, generated uniform distribution errors are used to simulate the mismatch of power consumption of supply and demand in the simulation control phase. Moreover, the mutual information is used for analysis. The final results show that as the mutual information increasing the deviation of the power consumption data in the planning and operation phases will be significantly reduced and tend to be planned value.

Energy supply

Energy accounting

10.1109/ei247390.2019.9061768

Cite

Citations (2)

Bumpless transfer control for switched linear systems with bump induced event-triggered mechanism

Journal of the Franklin Institute (2023)

Jinghan Li Jun Zhao

10.1016/j.jfranklin.2023.03.038

Cite

Citations (10)

Energy-to-peak combined switching bumpless transfer control for switched interval type-2 fuzzy delayed systems

Information Sciences (2022)

Siyuan Zhang Jun Zhao

Dwell time

10.1016/j.ins.2022.07.141

Cite

Citations (7)

High-Power, Widely-Tunable Femtosecond Cylindrical Vector Beam Optical Parametric Oscillator

Conference on Lasers and Electro-Optics (2019)

Jun Zhao Jintao Fan Na Xiao Youjian Song Minglie Hu

We propose a cylindrical vector beam optical parametric oscillator, which is capable of delivering on demand vector beam tunable across 1405~1601 nm directly, with a maximum power of 614 mW at 1505 nm.

Parametric oscillator

10.1364/cleo_si.2019.sth4e.1

Cite

Citations (0)

Optimal tracking control of hydraulic support initial support force based on adaptive dynamic programming

Qingliang Zeng Bingyi Jia Jun Zhao Lirong Wan

Tracking (education)

Force dynamics

10.23919/ccc63176.2024.10662121

Cite

Citations (1)

Adaptive Learning Based Output-Feedback Optimal Control of CT Two-Player Zero-Sum Games

IEEE Transactions on Circuits & Systems II Express Briefs (2021)

Jun Zhao Yongfeng Lv Ziliang Zhao

Although optimal control with full state-feedback has been well studied, online solving output-feedback optimal control problem is difficult, in particular for learning online Nash equilibrium solution of the continuous-time (CT) two-player zero-sum differential games. For this purpose, we propose an adaptive learning algorithm to address this trick problem. A modified game algebraic Riccati equation (MGARE) is derived by tailoring its state-feedback control counterpart. An adaptive online learning method is proposed to approximate the solution to the MGARE through online data, where two operations (i.e., vectorization and Kronecker's product) can be adopted to reconstruct the MGARE. Only system output information is needed to implement developed learning algorithm. Simulation results are carried out to exemplify the proposed control and learning method.

Zero (linguistics)

Zero-sum game

10.1109/tcsii.2021.3112050

Cite

Citations (21)