李善志｜宁波大学｜学者主页

2022

Fault-Tolerant Control of Wind Turbine System Using Linear Parameter-Varying Model

Shanzhi Li, Abdel Aïtouche, Nicolai D. Christov

Mathematical Problems in Engineering

DOI

2021

Multivariate statistical process monitoring based on principal discriminative component analysis

Shanzhi Li, Yang Chen, Chudong Tong

Journal of the Franklin Institute

DOI

2021

Dynamic statistical process monitoring based on online dynamic discriminative feature analysis

Shanzhi Li, Chudong Tong, Yang Chen, Ting Lan

Journal of Process Control

DOI

2019

基于双馈感应电机的风力发电系统故障估计与控制技术研究

李善志

《南京理工大学》

2019

Sensor fault estimation of PEM fuel cells using Takagi Sugeno fuzzy model

Shanzhi Li, Abdel Aïtouche, Haoping Wang, Nicolai D. Christov

International Journal of Hydrogen Energy

DOI

2018

Sliding mode observer design for fault and disturbance estimation using Takagi–Sugeno model

Shanzhi Li, Haoping Wang, Abdel Aïtouche, Nicolai D. Christov

European Journal of Control

DOI

2018

Active fault tolerant control of wind turbine systems based on DFIG with actuator fault and disturbance using Takagi-Sugeno fuzzy model

Shanzhi Li, Haoping Wang, A. Aitouche, N. D. Christov

Journal of the Franklin Institute

DOI

2018

Active fault tolerance control of a wind turbine system using an unknown input observer with an actuator fault

Shanzhi Li, Haoping Wang, A. Aitouche, Yang Tian, N. Christov

International Journal of Applied Mathematics and Computer Sciences

DOI

2018

Unknown input observer design for faults estimation using linear parameter varying model. Application to wind turbine systems

Shanzhi Li, Haoping Wang, A. Aitouche, N. Christov

International Computer Science Conference

DOI

2017

Robust unknown input observer design for state estimation and fault detection using linear parameter varying model

Shanzhi Li, Haoping Wang, A. Aitouche, Yang Tian, N. Christov

DOI

2017

Actuator Fault and Disturbance Estimation using the T-S fuzzy model

Shanzhi Li, Haoping Wang, A. Aitouche, Yang Tian, N. Christov

DOI

2016

Direct power control of DFIG wind turbine systems based on an intelligent proportional-integral sliding mode control.

Shanzhi Li, Haoping Wang, Yang Tian, Abdel Aitouch, John Klein

ISA transactions

DOI

2016

Intelligent Proportional Differential Neural Network Control for Unknown Nonlinear System

Haoping Wang, Shanzhi Li, Yang Tian, A. Aitouche

DOI

2016

Vol.25-Issue4-2016-WANG

Haoping Wang, Shanzhi Li, Yang Tian, A. Aitouche

2015

A RBF Neural Network based MPPT Method for Variable Speed Wind Turbine System

Shanzhi Li, Haoping Wang, Yang Tian, A. Aitouche

DOI

2015

A sliding model control based on intelligent PID control for wind turbine system

Shanzhi Li, Haoping Wang, Yang Tian, A. Aitouche

International Computer Science Conference

DOI

2015

Wind speed forecasting based on fuzzy-neural network combination method

Shanzhi Li, Haoping Wang, Yang Tian, Yan-Yan Shen, A. Aitouche

Chinese Control and Decision Conference

DOI

2014

NNPID-based Stator Voltage Oriented Vector Control for DFIG based Wind Turbine Systems

Shanzhi Li, Haoping Wang, Yang Tian, N. Christov, A. Aitouche

DOI

2014

Vol.23-Issue1-2014-LI

Shanzhi Li, Haoping Wang, Yang Tian, N. Christov, A. Aitouche

李善志

精选作品

期刊论文

Fault-Tolerant Control of Wind Turbine System Using Linear Parameter-Varying Model

Multivariate statistical process monitoring based on principal discriminative component analysis

Dynamic statistical process monitoring based on online dynamic discriminative feature analysis

基于双馈感应电机的风力发电系统故障估计与控制技术研究

Sensor fault estimation of PEM fuel cells using Takagi Sugeno fuzzy model

Sliding mode observer design for fault and disturbance estimation using Takagi–Sugeno model

Active fault tolerant control of wind turbine systems based on DFIG with actuator fault and disturbance using Takagi-Sugeno fuzzy model

Active fault tolerance control of a wind turbine system using an unknown input observer with an actuator fault

Unknown input observer design for faults estimation using linear parameter varying model. Application to wind turbine systems

Robust unknown input observer design for state estimation and fault detection using linear parameter varying model

Actuator Fault and Disturbance Estimation using the T-S fuzzy model

Direct power control of DFIG wind turbine systems based on an intelligent proportional-integral sliding mode control.

Intelligent Proportional Differential Neural Network Control for Unknown Nonlinear System

Vol.25-Issue4-2016-WANG

A RBF Neural Network based MPPT Method for Variable Speed Wind Turbine System

A sliding model control based on intelligent PID control for wind turbine system

Wind speed forecasting based on fuzzy-neural network combination method

NNPID-based Stator Voltage Oriented Vector Control for DFIG based Wind Turbine Systems

Vol.23-Issue1-2014-LI

研究方向