贾立

2026

A Risk-Aware Coordinated Optimisation Scheduling Method for Coupled Power-Computing-Network-Storage Systems in Remote Data Centres Based on Graph Attention, Green Affinity and CVaR

Energies

DOI

2026

Performance Analysis and Power Prediction of Iced Wind Turbines Based on CFD-OpenFAST-Stacking

Energies

DOI

2026

Tube-based model predictive control for wind power system using adaptive just-in-time learning modeling methodology

Transactions of the Institute of Measurement and Control

DOI

2026

Event-Triggered Model-Free Adaptive Predictive Control for Networked Wind-Power Microgrids Subject to Aperiodic DoS Attacks

IEEE Transactions on Information Forensics and Security

DOI

2025

基于Alopex进化算法和集成学习的多模态神经网络的污水反渗透过程建模

《化工学报》

2025

Prescribed performance based direct data-driven model predictive control for continuous stirred tank reactor

Journal of Process Control

DOI

2025

Data-driven co-design of adaptive FDI estimation and secure frequency predictive control for networked microgrids under hybrid cyberattacks

Applied Mathematics and Computation

DOI

2025

Prescribed performance-based event-triggered adaptive PID controller for chemical processes

Chemical Engineering Science

DOI

2025

Identification of Wiener system with time delay using correlation analysis and swarm intelligence methods

Transactions of the Institute of Measurement and Control

DOI

2025

Probability Density Function Control‐Based Deep Ensemble Learning for Wind Energy System Power Forecasting

International Journal of Adaptive Control and Signal Processing

DOI

2025

Identification Method for Coupled MIMO Wiener Model with Output Noise

DOI

2025

Data-driven predictive adaptive iterative learning fault-tolerant control for networked batch processes

Journal of Process Control

DOI

2025

Prescribed Performance-Based Distributed Event-Triggered Data-Driven Frequency Control for Hybrid Power Systems Under Jamming Attacks

IEEE Transactions on Automation Science and Engineering

DOI

2024

Event‐Triggered Model‐Free Neuroadaptive Iterative Learning Control via Controller Dynamic Linearization and Application to Impact Load Frequency Regulation

International Journal of Robust and Nonlinear Control

DOI

2024

Improved Iterative Learning Model Predictive Control for Nonlinear Batch Processes

International Journal of Robust and Nonlinear Control

DOI

2024

The Probability Density Function Based Neuro-Fuzzy Wind Power Prediction With Global Convergence

IEEE Transactions on Industry Applications

DOI

2024

Data-driven two-dimensional integrated control for nonlinear batch processes

Journal of Process Control

DOI

2023

Auxiliary modelling error and probability density function based neuro-fuzzy short-term wind power prediction

International Conference on Power and Renewable Energy (ICPRE)

DOI

2023

Directed-Graph-Based Distributed Data-Driven LFC Approach for Multi-Source Interconnected Power Systems in Energy Internet

Power System and Green Energy Conference (PSGEC)

DOI

2023

Adaptive Neural Data-Driven Learning Load Frequency Control for Nonlinear Power Systems with Repetitive Electric Loads

Conference on Fully Actuated System Theory and Applications (FASTA)

DOI

2023

Iterative Neuro-Fuzzy Hammerstein Model Based Model Predictive Control for Wind Turbines

IEEE Transactions on Industry Applications

DOI

2023

Wind-storage combined system based on just-in-time-learning prediction model with dynamic error compensation

Journal of Energy Storage

DOI

2023

Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

High‐order iterative learning model predictive control for batch chemical processes

The Canadian Journal of Chemical Engineering

DOI

2023

Tube‐based batch model predictive control for polystyrene polymerization reaction process

Asia-Pacific Journal of Chemical Engineering

DOI

2023

Identification of nonlinear process described by neural fuzzy Hammerstein-Wiener model using multi-signal processing

Advances in Manufacturing

DOI

2022

基于Wiener模型的风力发电系统变桨距控制

《系统仿真学报》

DOI

2022

Dynamic Linear Prediction Model Based on Energy Storage System Compensating Prediction Error for Wind Power

International Conference on Power and Energy Engineering (ICPEE)

DOI

2022

Dynamic just-in-time learning based model predictive control for variable pitch wind energy conversion system

Journal of Renewable and Sustainable Energy

DOI

2022

A two-stage robust iterative learning model predictive control for batch processes

ISA Transactions

DOI

2022

Identification of Multivariable Hammerstein CARMA System Using Special Test Signals

Journal of Dynamic Systems Measurement and Control

DOI

2022

Tube-based iterative-learning-model predictive control for batch processes using pre-clustered just-in-time learning methodology

Chemical Engineering Science

DOI

2022

Correlation based neuro-fuzzy Wiener type wind power forecasting model by using special separate signals

Energy Conversion and Management

DOI

2021

A local dynamic extreme learning machine based iterative learning control of nonlinear batch process

Optimal Control Applications and Methods

DOI

2021

Parameter Estimation of the Hammerstein Output Error Model Using Multi-signal Processing

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2021

A novel learning algorithm of the neuro-fuzzy based Hammerstein–Wiener model corrupted by process noise

Journal of the Franklin Institute

DOI

2020

Combined Signals Based Identification Scheme for the Hammerstein-Wiener System with Process Noise

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2020

Parameter estimation of neuro-fuzzy based Hammerstein controlled autoregressive autoregressive moving average systems

Chinese Automation Congress

DOI

2020

Neuro-fuzzy based identification of Hammerstein OEAR systems

Computers & Chemical Engineering

DOI

2020

Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals

IEEE Access

DOI

2019

基于工况划分的火电机组运行多目标优化

《自动化仪表》

DOI

2019

An integrated robust iterative learning control strategy for batch processes based on 2D system

Journal of Process Control

DOI

2019

An Novel Integrated Iterative Dynamic Programming Control Strategy for Batch Processes

Chinese Automation Congress

DOI

2019

A robust integrated model predictive iterative learning control strategy for batch processes

Science China Information Sciences

DOI

2019

A just-in-time-learning based two-dimensional control strategy for nonlinear batch processes

Information Sciences

DOI

2019

Identification of Wiener Model with Output Colored Noise Based on Separable Signal Sources

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2019

An Improved Iterative Dynamic Programming Control Strategy Based on Neuro-fuzzy Model for Batch Processes

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2019

Parameter estimation of Hammerstein–Wiener nonlinear system with noise using special test signals

Neurocomputing

DOI

2019

Quadratic-Criterion-Based Model Predictive Iterative Learning Control for Batch Processes Using Just-in-Time-Learning Method

IEEE Access

DOI

2019

Correlation Analysis Algorithm‐Based Multiple‐Input Single‐Output Wiener Model with Output Noise

Complexity

DOI

2018

Just-in-time learning based integrated MPC-ILC control for batch processes

Chinese Journal of Chemical Engineering

DOI

2018

Identification of a Class of Multi-signal Based Neuro-fuzzy Wiener Systems

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2017

Combined separable signals based neuro-fuzzy Hammerstein-Wiener model

Memetic Computing，Vol. 90, No. 30

DOI

2017

Model predictive control of batch processes based on two-dimensional integration frame

Nonlinear Analysis Hybrid Systems

DOI

2017

Correlation analysis method based SISO neuro-fuzzy Wiener model

Journal of Process Control

DOI

2017

Correlation analysis-based error compensation recursive least-square identification method for the Hammerstein model

Journal of Statistical Computation and Simulation

DOI

2017

Identification method of neuro‐fuzzy‐based Hammerstein model with coloured noise

IET Control Theory and Applications

DOI

2017

Soft sensor modeling based on auxiliary error probability density function shape control

Chinese Control Conference (CCC)

DOI

2017

Neuro-fuzzy based identification method for Hammerstein output error model with colored noise

Neurocomputing

DOI

2017

Identification Approach of Hammerstein-Wiener Model Corrupted by Colored Process Noise

Communications in computer and information science

DOI

2017

An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes

Communications in computer and information science

DOI

2016

间歇过程PSO-SQP混合优化算法研究

《仪器仪表学报》

DOI

2016

基于即时学习的间歇过程复合模型

《上海交通大学学报》

2016

含过程噪声的Hammerstein-Wiener神经模糊模型多信号源辨识

《上海交通大学学报》

2016

An integrated model predictive control strategy for batch processes

Chinese Control and Decision Conference (CCDC)

DOI

2016

Dynamic R-parameter based integrated model predictive iterative learning control for batch processes

Journal of Process Control

DOI

2016

Correlation analysis based MIMO neuro-fuzzy Hammerstein model with noises

Journal of Process Control

DOI

2016

An Integrated Model Predictive Iterative Learning Control Strategy for Batch Processes

Communications in computer and information science

DOI

2015

Auxiliary error and probability density function based neuro-fuzzy model and its application in batch processes

Chinese Journal of Chemical Engineering

DOI

2015

Intelligent virtual reference feedback tuning and its application to heat treatment electric furnace control

Engineering Applications of Artificial Intelligence

DOI

2015

The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals

Neurocomputing

DOI

2014

集成软测量方法研究及其在烟气含氧量中的应用

《系统仿真学报》

2014

The probability density function based neuro-fuzzy model and its application in batch processes

Neurocomputing

DOI

2014

Identification of MIMO Neuro-fuzzy Hammerstein Model with Noises

Communications in computer and information science

DOI

2014

Integrated Iterative Learning Control Strategy for Batch Processes

Communications in computer and information science

DOI

2014

Batch-Wise Updating Neuro-Fuzzy Model Based Predictive Control for Batch Processes

Communications in computer and information science

DOI

2014

Integrated IMC-ILC Control System Design for Batch Processes

Communications in computer and information science

DOI

2014

Integrated Neurofuzzy-JITL Model and Its Application in Batch Processes

Communications in computer and information science

DOI

2013

基于多信号源的神经模糊Hammerstein-Wiener模型研究

《自动化学报》

2013

火电机组主蒸汽温度神经模糊-PID串级控制

《控制工程》

2013

An integrated iterative learning control strategy with model identification and dynamic R-parameter for batch processes

Journal of Process Control

DOI

2013

Identification of hammerstein model

2013

Design of integrated iterative learning control for batch processes based on online model modification

National University of Singapore

2013

Time-varying neuro-fuzzy model using probability density function techniques for batch processes

Journal of Statistical Computation and Simulation

DOI

2013

Analysis on Data-Based Integrated Learning Control for Batch Processes

Communications in computer and information science

DOI

2012

基于建模误差PDF形状的间歇过程数据驱动模型

《仪器仪表学报》

DOI

2012

Adaptive decentralized PID controllers design using JITL modeling methodology

Journal of Process Control

DOI

2012

Integrated neuro-fuzzy model and dynamic R-parameter based quadratic criterion-iterative learning control for batch process

Neurocomputing

DOI

2012

Special two-stage input signal based neuro-fuzzy model for Hammerstein-Wiener processes

International Journal of System Control and Information Processing

DOI

2012

Iterative Learning Control of Batch Processes Using Adaptive Differential Evolution Algorithm

Communications in computer and information science

DOI

2012

Data-driven Based Integrated Learning Controller Design for Batch Processes

IFAC Proceedings Volumes

DOI

2011

间歇生产过程优化控制的分布式仿真平台

《系统仿真学报》

DOI

2011

基于微粒群优化算法的间歇过程迭代学习

《控制工程》

2011

Neuro-fuzzy-based dynamic quadratic criterion-iterative learning control for batch process

Transactions of the Institute of Measurement and Control

DOI

2011

Pareto-optimal solutions based multi-objective particle swarm optimization control for batch processes

Neural Computing and Applications

DOI

2011

Data driven- Adaptive single neuron predictive controller based on Lyapunov approach

World Congress on Intelligent Control and Automation

DOI

2010

Adaptive IMC controller design using linear multiple models

Journal of the Taiwan Institute of Chemical Engineers

DOI

2010

Multi-objective Particle Swarm Optimization Control Technology and Its Application in Batch Processes

Lecture notes in computer science

DOI

2010

Optimal Tracking Performance for Unstable Processes with NMP Zeroes

Lecture notes in computer science

DOI

2010

Iterative Learning Control Based on Integrated Dynamic Quadratic Criterion for Batch Processes

Lecture notes in computer science

DOI

2010

Batch-to-Batch Iterative Optimal Control of Batch Processes Based on Dynamic Quadratic Criterion

Lecture notes in computer science

DOI

2009

间歇过程的全局收敛性神经模糊模型

《信息与控制》

2009

基于线性化误差模型的自适应控制系统设计

《华南理工大学学报(自然科学版)》

2009

基于神经模糊系统的自适应前馈-反馈控制系统设计

《华东理工大学学报(自然科学版)》

2009

空调蒸发器的自适应预测控制策略

《控制工程》

2009

Run-to-run product quality control of batch processes

Journal of Shanghai University (English Edition)

DOI

2009

A novel neuro-fuzzy model-based run-to-run control for batch processes with uncertainties

Chinese Control and Decision Conference (CCDC)

DOI

2008

基于模糊神经模型的自适应单神经元控制系统设计

《华东理工大学学报(自然科学版)》

2008

Self-tuning PID controllers based on the Lyapunov approach

Chemical Engineering Science

DOI

2008

An Analytical Adaptive Single-Neuron Compensation Control Law for Nonlinear Process

Lecture notes in computer science

DOI

2007

Fuzzy Neural Network-Based Adaptive Single Neuron Controller

Lecture notes in computer science

DOI

2007

Adaptive IMC Design Using Multiple Models

International Conference on Control and Automation

DOI

2007

Batch-to-batch control of batch processes based on multilayer recurrent fuzzy neural network

DOI

2006

Adaptive Feedback-Feedforward Control for a Class of Nonlinear Chemical Processes

DOI

2002

神经模糊系统中模糊规则的优选

《控制与决策》

2001

一种新型自动化仪表用高斯基函数网络算法研究(英文)

《仪器仪表学报》

2001

基于自适应混合变异进化策略的神经模糊系统及应用研究

《系统仿真学报》

2001

自组织神经模糊系统及其在辛烷值软测量中的应用

《仪器仪表学报》

2001

一种非线性和时滞系统自适应控制方法

《信息与控制》

2000

基于神经网络的时滞系统自适应内模控制

《模式识别与人工智能》

2000

基于神经网络的时变时滞系统自适应内模控制

《兰州理工大学学报》

2000

基于神经网络的时变时滞系统自适应内模控制(英文)

《兰州大学学报(自然科学版)》

2021

A just-in-time learning based integrated IMC-ILC control strategy for batch processes

《第40届中国控制会议论文集（5）》

DOI

2017

A SISO neuro-fuzzy wiener model identification by correlation analysis method

Data Driven Control and Learning Systems Conference (DDCLS)

DOI