Search Results - "Qie, Tianhao"
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A Novel Data-Driven Linear Quadratic Regulator for an Interleaved DC/DC Boost Converter
Published in IEEE transactions on power electronics (01-05-2024)“…This article proposes a novel data-driven linear quadratic regulator for an interleaved boost dc/dc converter. The proposed method utilizes policy iteration…”
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A New Robust Integral Reinforcement Learning Based Control Algorithm for Interleaved DC/DC Boost Converter
Published in IEEE transactions on industrial electronics (1982) (01-04-2023)“…This article proposes a novel online integral reinforcement learning (IRL) based data-driven control algorithm for interleaved dc/dc boost converter. The…”
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A Novel Deep Deterministic Policy Gradient Assisted Learning-Based Control Algorithm for Three-Phase DC/AC Inverter With an RL Load
Published in IEEE journal of emerging and selected topics in power electronics (01-12-2023)“…This article proposes a novel deep deterministic policy gradient (DDPG) assisted integral reinforcement learning (IRL)-based control algorithm for the…”
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A Novel Integral Reinforcement Learning-Based H∞ Control Strategy for Proton Exchange Membrane Fuel Cell in DC Microgrids
Published in IEEE transactions on smart grid (01-05-2023)“…In this paper, a novel integral reinforcement learning (IRL) based <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> control…”
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A Novel Integral Reinforcement Learning-Based Control Method Assisted by Twin Delayed Deep Deterministic Policy Gradient for Solid Oxide Fuel Cell in DC Microgrid
Published in IEEE transactions on sustainable energy (01-01-2023)“…This paper proposes a new online integral reinforcement learning (IRL)-based control algorithm for the solid oxide fuel cell (SOFC) to overcome the…”
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A novel online reinforcement learning‐based linear quadratic regulator for three‐level neutral‐point clamped DC/AC inverter
Published in Energy conversion and economics (01-10-2024)“…This article proposes a novel online reinforcement learning‐based linear quadratic regulator for the three‐level neutral‐point clamped DC/AC voltage source…”
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A New Reinforcement Learning Based Voltage Control for Three-Phase AC/DC Converter
Published in 2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS) (14-07-2023)“…This paper proposes a novel integral reinforcement learning (IRL) based DC-link voltage control method for three-phase AC/DC converter. The proposed IRL…”
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Conference Proceeding -
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An Advanced Learning-Based Linear Quadratic Regulator For Proton Exchange Membrane Fuel Cell in DC Microgrids
Published in 2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA) (18-08-2023)“…An advanced learning-based linear quadratic regulator (LQR) is proposed to enhance the output voltage control performance of proton exchange membrane fuel cell…”
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Conference Proceeding -
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A Novel Data-Driven Large Signal Stabilizer for Interleaved DC/DC Boost Converter With Constant Power Load
Published in IEEE transactions on industrial electronics (1982) (01-11-2024)“…The interleaved dc/dc boost converter (IBC) has been widely used to interface the solar photovoltaic panels and fuel cells to dc microgrids. With the…”
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10
Generative Physics Informed Machine Learning Method for DC-Link Capacitance Estimation
Published in IEEE transactions on industrial electronics (1982) (19-10-2024)“…This article proposes an innovative generative physics-informed machine learning (GPIML) method for the estimation of dc-link capacitance during the…”
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A Novel Machine Learning-Based Online Optimal Control Strategy for Fuel Cell in Electrified Transportation System
Published in IEEE transactions on intelligent transportation systems (30-09-2024)“…Proton exchange membrane fuel cells (PEMFCs) have been widely used as clean energy storage devices in electrified transportation system. The key challenges in…”
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Dynamics of gas distribution in batch-scale fermentation experiments: The unpredictive distribution of biogas between headspace and gas collection device
Published in Journal of cleaner production (10-05-2023)“…Biohydrogen potential of biodegradable samples is often evaluated with batch experiments, where gas collection devices (gasbags, syringes, water displacement…”
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A novel learning-based data-driven H∞ control strategy for vanadium redox flow battery in DC microgrids
Published in Journal of power sources (01-11-2023)“…Vanadium redox flow battery (VRB) is one of the most promising batteries at present. In order to enhance the stability and anti-interference ability of VRB in…”
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Journal Article -
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A novel online learning-based linear quadratic regulator for vanadium redox flow battery in DC microgrids
Published in Journal of power sources (15-12-2023)“…This paper proposes a novel learning-based linear quadratic regulator (LQR) to overcome the long-lasting problem of model dependency in the existing vanadium…”
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15
Multiple reflective signal reception in gas flow measurement using air-coupled leaky Lamb waves
Published in Measurement : journal of the International Measurement Confederation (01-07-2019)“…•A non-contact ultrasonic method of gas flow metering in a duct is described.•Wave propagation was visualized by COMSOL Multiphysics®.•Multipath signals with…”
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Quasi-dispersion of air-coupled ultrasonic signal for angle-dependent reception
Published in Measurement : journal of the International Measurement Confederation (01-12-2019)“…In many practical applications of air-coupled ultrasonic inspection, the accurate direction of the wavefronts of the ultrasound in air is unknown. Thereby, the…”
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A Novel Data-driven Excitation Control for the MPPT of Wound Rotor Synchronous Generator based Wind Turbine
Published in 2021 31st Australasian Universities Power Engineering Conference (AUPEC) (26-09-2021)“…This paper proposes an integral reinforcement learning (IRL)-based excitation control for the maximum power point tracking (MPPT) of wound rotor synchronous…”
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Conference Proceeding -
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Proton Exchange Membrane Fuel Cell in DC Microgrids with a New Adaptive Model Predictive Control
Published in 2021 31st Australasian Universities Power Engineering Conference (AUPEC) (26-09-2021)“…A new adaptive model predictive control (AMPC) is proposed in this paper to enhance the performance of proton exchange membrane fuel cell (PEMFC) in DC…”
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Conference Proceeding