Hui Peng

Orcid: 0000-0002-9794-9225

Affiliations:
  • Central South University, School of Information Science and Engineering, Changsha, China
  • Institute of Statistical Mathematics, Tokyo, Japan (former)
  • Graduate University for Advanced Studies, Hayama, Japan (PhD 2003)


According to our database1, Hui Peng authored at least 57 papers between 2001 and 2023.

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Bibliography

2023
Deep Learning-Based State-Dependent ARX Modeling and Predictive Control of Nonlinear Systems.
IEEE Access, 2023

2022
A Hybrid Modeling Method Based on Linear AR and Nonlinear DBN-AR Model for Time Series Forecasting.
Neural Process. Lett., 2022

Nonlinear curve fitting-based fast robust MPC algorithm for nonlinear system.
J. Frankl. Inst., 2022

2021
A modelling and predictive control approach to linear two-stage inverted pendulum based on RBF-ARX model.
Int. J. Control, 2021

A synthesis approach of fast robust MPC with RBF-ARX model to nonlinear system with uncertain steady status information.
Appl. Intell., 2021

Robust predictive control of coupled water tank plant.
Appl. Intell., 2021

A Quantum Evolutionary Algorithm and Its Application to Optimal Dynamic Investment in Market Microstructure Model.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
Single image dehazing based on fusion strategy.
Neurocomputing, 2020

A Hybrid Parameter Estimation for Multi-asset Modeling and Dynamic Allocation Based on Financial Market Microstructure Model.
Int. J. Artif. Intell. Tools, 2020

DBN based SD-ARX model for nonlinear time series prediction and analysis.
Appl. Intell., 2020

2019
RBF-ARX model-based two-stage scheduling RPC for dynamic systems with bounded disturbance.
Neural Comput. Appl., 2019

Deep belief network-based AR model for nonlinear time series forecasting.
Appl. Soft Comput., 2019

A hybrid modelling method for time series forecasting based on a linear regression model and deep learning.
Appl. Intell., 2019

Robust Predictive Control Algorithm Based on Parameter Variation Rate Information of Functional-Coefficient ARX Model.
IEEE Access, 2019

A Robust Controller Design Method Based on Parameter Variation Rate of RBF-ARX Model.
IEEE Access, 2019

2018
A Regularized SNPOM for Stable Parameter Estimation of RBF-AR(X) Model.
IEEE Trans. Neural Networks Learn. Syst., 2018

Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process.
Neural Comput. Appl., 2018

Modelling financial time series based on heavy-tailed market microstructure models with scale mixtures of normal distributions.
Int. J. Syst. Sci., 2018

Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm.
IET Image Process., 2018

2017
RBF-ARX model-based robust MPC for nonlinear systems with unknown and bounded disturbance.
J. Frankl. Inst., 2017

Implementation of regularization for separable nonlinear least squares problems.
Appl. Soft Comput., 2017

2016
Performance analysis and parameter optimization of an inner spiral in-pipe robot.
Robotica, 2016

Temporal-Spatial Filtering for Enhancement of Low-Light Surveillance Video.
J. Adv. Comput. Intell. Intell. Informatics, 2016

Visibility detection approach to road scene foggy images.
KSII Trans. Internet Inf. Syst., 2016

Genetic algorithm-based parameter selection approach to single image defogging.
Inf. Process. Lett., 2016

An adaptive modeling and asset allocation approach to financial markets based on discrete microstructure model.
Appl. Soft Comput., 2016

A Self-Organizing State Space Type Microstructure Model for Financial Asset Allocation.
IEEE Access, 2016

2015
A Variable Projection Approach for Efficient Estimation of RBF-ARX Model.
IEEE Trans. Cybern., 2015

Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets.
Math. Comput. Simul., 2015

Nonlinear modeling and control approach to magnetic levitation ball system using functional weight RBF network-based state-dependent ARX model.
J. Frankl. Inst., 2015

A modeling approach to financial time series based on market microstructure model with jumps.
Appl. Soft Comput., 2015

2014
A sequential learning algorithm based on adaptive particle filtering for RBF networks.
Neural Comput. Appl., 2014

Local Polynomial Wavelet Neural Network with a Nonlinear Structured Parameter Optimization Method.
J. Inf. Sci. Eng., 2014

A New Restoration Algorithm for Single Image Defogging.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2013
A State-Space Approach to Explore the Strain Behavior before and after the 2003 Tokachi-Oki Earthquake (M8)<sup>1</sup>.
Data Sci. J., 2013

2012
A global-local optimization approach to parameter estimation of RBF-type models.
Inf. Sci., 2012

Nonlinear time series modeling and prediction using functional weights wavelet neural network-based state-dependent AR model.
Neurocomputing, 2012

Stability analysis of RBF network-based state-dependent autoregressive model for nonlinear time series.
Appl. Soft Comput., 2012

2010
A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling.
Inf. Sci., 2010

An adaptive decision maker for constrained evolutionary optimization.
Appl. Math. Comput., 2010

A hybrid approach for parameter optimization of RBF-AR model.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

RBF-ARX Model-based Modeling and Control of Quadrotor.
Proceedings of the IEEE International Conference on Control Applications, 2010

A Statistical Modeling and Tracking Control Approach to Marine Vehicle.
Proceedings of the IEEE International Conference on Control Applications, 2010

2007
Nonlinear Predictive Control Using Neural Nets-Based Local Linearization ARX Model - Stability and Industrial Application.
IEEE Trans. Control. Syst. Technol., 2007

Nonlinear system modeling and robust predictive control based on RBF-ARX model.
Eng. Appl. Artif. Intell., 2007

Detection of low-frequency large-amplitude jump in financial time series.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
A predictive control strategy for nonlinear NOx decomposition process in thermal power plants.
IEEE Trans. Syst. Man Cybern. Part A, 2006

2005
Modelling and asset allocation for financial markets based on a stochastic volatility microstructure model.
Int. J. Syst. Sci., 2005

Robust MPC Based on Multivariable RBF-ARX Model for Nonlinear Systems.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2003
A parameter optimization method for radial basis function type models.
IEEE Trans. Neural Networks, 2003

Stability analysis of the RBF-ARX model based nonlinear predictive control.
Proceedings of the 7th European Control Conference, 2003

Modeling and control of nonlinear nitrogen oxide decomposition process.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
A nonlinear exponential ARX model-based multivariable generalized predictive control strategy for thermal power plants.
IEEE Trans. Control. Syst. Technol., 2002

Structured parameter optimization method for the radial basis function-based state-dependent autoregressive model.
Int. J. Syst. Sci., 2002

Modeling and control for foreign exchange based on a continuous time stochastic microstructure model.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Nonlinear predictive control based on a global model identified off-line.
Proceedings of the American Control Conference, 2002

2001
Modeling and control of systems with signal dependent nonlinear danymics.
Proceedings of the 6th European Control Conference, 2001


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