Hui Peng
Orcid: 0000-0002-9794-9225Affiliations:
- 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.
Collaborative distances:
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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
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
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
A Hybrid Parameter Estimation for Multi-asset Modeling and Dynamic Allocation Based on Financial Market Microstructure Model.
Int. J. Artif. Intell. Tools, 2020
Appl. Intell., 2020
2019
RBF-ARX model-based two-stage scheduling RPC for dynamic systems with bounded disturbance.
Neural Comput. Appl., 2019
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
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
Appl. Soft Comput., 2017
2016
Robotica, 2016
J. Adv. Comput. Intell. Intell. Informatics, 2016
KSII Trans. Internet Inf. Syst., 2016
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
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
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
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
Appl. Math. Comput., 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the IEEE International Conference on Control Applications, 2010
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
Eng. Appl. Artif. Intell., 2007
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
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2003
IEEE Trans. Neural Networks, 2003
Proceedings of the 7th European Control Conference, 2003
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
Proceedings of the American Control Conference, 2002
2001
Proceedings of the 6th European Control Conference, 2001