Hao Wang

ORCID: 0000-0002-0135-6039
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About
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Research Areas
  • Smart Agriculture and AI
  • Robotic Mechanisms and Dynamics
  • PAPR reduction in OFDM
  • Electric Vehicles and Infrastructure
  • Advanced Numerical Analysis Techniques
  • Dynamics and Control of Mechanical Systems
  • Advanced Wireless Communication Technologies
  • Robotic Locomotion and Control
  • Solar Thermal and Photovoltaic Systems
  • Remote Sensing and LiDAR Applications
  • Iterative Learning Control Systems
  • Autonomous Vehicle Technology and Safety
  • Advanced Differential Equations and Dynamical Systems
  • Remote Sensing in Agriculture
  • Advanced Algorithms and Applications
  • Mechanical Engineering and Vibrations Research
  • Advanced Battery Technologies Research
  • Cooperative Communication and Network Coding
  • Full-Duplex Wireless Communications
  • Hydraulic and Pneumatic Systems
  • Optical Network Technologies
  • Nonlinear Dynamics and Pattern Formation
  • Solar Radiation and Photovoltaics
  • Structural Health Monitoring Techniques
  • Advanced Vision and Imaging

Yunnan University
2022-2025

Beijing Academy of Agricultural and Forestry Sciences
2011-2023

Nanjing Forestry University
2021

Zhejiang University of Science and Technology
2021

University of Alberta
2018

Shanghai University
2014

Shanghai Jiao Tong University
2010

In order to improve the estimation accuracy of state charge (SOC) electric vehicle power batteries, a dual Kalman filter method based on online identification model parameters is proposed estimate in lithium-ion batteries. Here, we build first-order equivalent circuit batteries and derive its extended (EKF). Considering that noise value EKF algorithm difficult select through experiments achieve best filtering effect, this paper combines an improved particle swarm optimization (IPSO) with...

10.3390/pr9081412 article EN Processes 2021-08-16

Aiming at the need to prevent agricultural machinery from colliding with obstacles in operation of unmanned machinery, an obstacle detection algorithm using 2D lidar was proposed, and a pre-collision system designed this algorithm, which tested on harvester. The method uses differences between data frames calculate collision times farm obstacles. consists following steps: pre-processing determine region interest, median filtering, DBSCAN (density-based spatial clustering applications noise)...

10.3390/agronomy13020388 article EN cc-by Agronomy 2023-01-28

The clearances of joints in a rigid multibody system may deteriorate the motion accuracy and even cause vibrations, noise fatigue failure structures. In over-constrained mechanisms, number degree-of-freedoms is more than that independent coordinates which leads to numerical challenges solving underdetermined force equilibrium equations. A comprehensive study on dynamic model performance an planar parallelogram mechanism with multiple clearance presented this paper. Since common angular...

10.1177/0954406217738032 article EN Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2017-10-30

This paper presents the design and construction of a photovoltaic system (PV system) using dual axis solar tracking maximum power point (MPPT) controller to improve efficiency PV cell output power. The technique is designed track sun both azimuth angle altitude enable panel perpendicular illumination sun. MPPT algorithm keep operating at point, modified variable step size incremental conductance has been proposed in this meet requirements response speed dynamic stability. Both algorithms are...

10.1109/icma.2014.6885696 article EN 2014-08-01

Abstract We present a pure data-driven method to estimate vehicle dynamics from the measurements of sideslip and yaw rate in use GPS inertial navigation system. The INS configuration provides position, velocity vector, orientation, observations. A new dynamic mode decomposition with control (DMDc) denoises state observations by adopting total least-squares algorithm. DMD (tlsDMDc) helps discover underlying time-dependent states external control. experiments simulated linear model synthetic...

10.1007/s10291-020-01051-5 article EN cc-by GPS Solutions 2020-11-13

In this paper, we propose a CPG (central pattern generator) network control system using motor dynamics for the gait planning of quadruped robot with trot walking to climb up and down slope turn back follow symmetry route. The unit model, which includes two DC motors has ability generate periodic joint angle complex-value parameters. Through plural feedback parameters, can adjust frequency amplitude an internal neuron model such as meeting irregular surface road. Using stride length angles,...

10.3390/sym13112090 article EN Symmetry 2021-11-04

This article proposes a novel low-complexity parallel message passing (PMP) detection scheme for orthogonal time-frequency space (OTFS) modulation technology. The traditional (MP) is to detect symbols individually. Due large number of loop nesting calculations in the process MP symbol detection, overall calculation time relatively long, and its efficiency lower. In PMP scheme, all are detected synchronously. optimizes structure algorithm, can significantly shorten time. A non-sparse channel...

10.1109/tvt.2022.3227282 article EN IEEE Transactions on Vehicular Technology 2022-12-07

In order to obtain fine spectra with high resolution and accuracy, the large optical path difference stable reciprocal scanning modulation are necessary in a spectrum detection system. According characteristics, mathematical model of permanent magnet synchronous motor is established. Considering long length, rapid commutation, speed stability, this paper develops feedback loop position PI controller. As controller produces periodic error when tracking signals reduces rate modified repetitive...

10.1109/imccc.2018.00223 article EN 2018-07-01

Orthogonal time frequency space (OTFS) modulation can meet the challenges in high mobility environment. The signal detection for OTFS system is necessary, so that precise channel state information to improve accuracy essential. Therefore, we propose a complex Bayesian compressive sensing (CBCS) algorithm, which utilizes sparsity of channel. We first model by employing hierarchical Laplace prior. Then, based on marginal likelihood sparse signal, separate current hyperparameter and derive CBCS...

10.1109/iaecst60924.2023.10503449 article EN 2023-12-08

For Physical-layer Network Coding (PNC) with high-order modulation, the problem of ambiguity mapping is a focus field. In this paper, we present PNC Reconfigurable Superposition Mapping (RSM-PNC) scheme. Based on scheme, two-way relay communication system model consisting source and nodes using 16QAM modulation constructed. addition, demodulation rule at node displayed, decoding redesigned, calculation formula symbol error rate (SER) under Additive White Gaussian Noise (AWGN) derived as...

10.1109/icct56141.2022.10073019 article EN 2022-11-11
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