Yuhuan Shi

ORCID: 0000-0002-2687-9848
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Research Areas
  • Control Systems and Identification
  • Reservoir Engineering and Simulation Methods
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Reinforcement Learning in Robotics
  • Advanced Image Fusion Techniques
  • Oil and Gas Production Techniques
  • Advanced Image Processing Techniques
  • Fault Detection and Control Systems
  • Advanced Optimization Algorithms Research
  • Mechanical Circulatory Support Devices
  • Vehicle Dynamics and Control Systems
  • Enhanced Oil Recovery Techniques
  • Dynamics and Control of Mechanical Systems
  • Soil Mechanics and Vehicle Dynamics
  • Adaptive Dynamic Programming Control

Changchun University of Science and Technology
2020

China National Petroleum Corporation (China)
2018

China University of Petroleum, East China
2018

This article presents an adaptive rationalized Haar function approximation method to solve dynamic optimization with mixed-integer and discontinuous controls. Three measures are taken deal the discontinuity. First, problem is converted into a multi-stage by non-uniform control vector parameterization. Secondly, strategy proposed regulate interval division order of vectors. Thirdly, structure detection presented refine subintervals, in which adjacent arcs same input type merged one modify...

10.1080/0305215x.2018.1508573 article EN Engineering Optimization 2018-09-26

Aiming at the swing problem of container cranes in process loading and unloading cargo, an adaptive neural fuzzy (ANFIS) control method based on Takagi-Sugeno (T-S) model is proposed this paper. Firstly, mathematical crane trolley-hoist system was established Lagrange's equation. Secondly, improved T-S network proposed. Since SNPRP conjugate gradient has sufficient descent global convergence under strong search conditions. In paper, used to train premise parameters consequent model. order...

10.1109/ccdc.2018.8408090 article EN 2018-06-01

Because of the mechanism complexity, coupling, and time‐space characteristic alkali‐surfactant‐polymer (ASP) flooding, common methods are very hard to be implemented directly. In this paper, an iterative dynamic programming (IDP) based on a biorthogonal spatial‐temporal Wiener modeling method is developed solve enhanced oil recovery for ASP flooding. At first, comprehensive model flooding introduced. Then presented build relation between inputs states, in which expanded set spatial basis...

10.1155/2018/9248161 article EN cc-by Complexity 2018-01-01

An approximate dynamic programming algorithm based on an actor–critic framework is proposed in this article. This takes the as basic framework, which actor and critic are used to optimal value function control strategy, respectively. At first, linear basis approximator function. Then method of construction system characteristics introduced. Furthermore, since injection concentration ASP flooding has a fixed interval, action weighting adopted restrict action. The parameter two strategy...

10.1080/0305215x.2019.1570180 article EN Engineering Optimization 2019-03-25

Severe weather conditions such as rain and snow often reduce the visual perception quality of video image system, traditional methods deraining desnowing usually rarely consider adaptive parameters.In order to enhance effect desnowing, this paper proposes a algorithm based on tolerance dual-tree complex wavelet.This can be widely used in security surveillance, military defense, biological monitoring, remote sensing other fields.First, introduces main work method for dynamic scenes.Second,...

10.9781/ijimai.2020.11.014 article EN cc-by International Journal of Interactive Multimedia and Artificial Intelligence 2020-01-01
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