Dingli Yu

发表

Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network

Yantao Tian, Dingli Yu, Yaowu Shi, 2015, Eng. Appl. Artif. Intell..

Fault detection observer of a pilot plant papermaking machine

Dingli Yu, Majeed Soufian, Majid Borairi, 2017, 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE).

An Extended Parity Space Method and a Case Study on an Industrial Furnace

D. N. Shields, Dingli Yu, 1997 .

Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process

Dingli Yu, J. B. Gomm, Dingli Yu, 2002, Neural Computing & Applications.

A bilinear fault detection filter

D. N. Shields, Dingli Yu, 1997 .

Model-based fault detection for proton exchange membrane fuel cell systems

Dingli Yu, MMd Kamal, Dingli Yu, 2012 .

A stable self-learning PID control for multivariable time varying systems

Dingli Yu, T. Chang, Ding-Wen Yu, 2007 .

SYSTEMS USING NEUTRAL NETWORK MODELS

Dingli Yu, M. Kamal, 2015 .

Factorized �-Step Radial Basis Function Model for Model Predictive Control

Yiran Shi, Dingli Yu, Yan-tao Tian, 2019 .

Robust Integral Sliding Mode Control against Matched and Unmatched System Uncertainty

Dingli Yu, Shiwei Wang, Dingli Yu, 2007, IMECS.

A New Fuel Injection Control Solution via Simple and Adaptive Sliding Mode

Dingli Yu, Shiwei Wang, Dingli Yu, 2007, IMECS.

Fault Diagnosis for Fuel Cell Stack using Independent MLP Neural Network

Dingli Yu, M. Kamal, 2022 .

Based on the Multi Variable System Design and Parameter Tuning Method of PID Controller

Rui Zhu, Yaowu Shi, Dingli Yu, 2017 .

A nonlinear fault detection method for a hydraulic system

Dingli Yu, D. N. Shields, J. L. Mahtani, 1994 .

Computational Intelligence in Data-Driven Modelling and Its Engineering Applications

Dingli Yu, Li Xu, Sarah K. Spurgeon, 2018, Mathematical Problems in Engineering.

The indirect shared steering control under double loop structure of driver and automation

Yiran Shi, Dingli Yu, Yan-tao Tian, 2020, IEEE/CAA Journal of Automatica Sinica.

Fault diagnosis for engine air path with neural models and classifier

Sangha, Dingli Yu, J. Gomm, 2012 .

Neural model adaptation and predictive control of a chemical process rig

Dingli Yu, Ding-Wen Yu, J. B. Gomm, 2006, IEEE Transactions on Control Systems Technology.

A linear parameter-varying radial basis function model and predictive control of a chemical reactor

Dingli Yu, Ding-Wen Yu, Dingli Yu, 2003, Int. J. Syst. Sci..

Implementation of neural network predictive control to a multivariable chemical reactor

Dingli Yu, J. B. Gomm, Dingli Yu, 2003 .

On-line predictive control of a chemical process using neural network models

J. B. Gomm, David Williams, Dingli Yu, 1999 .

A hybrid fault diagnosis approach using neural networks

Dingli Yu, D. N. Shields, Steve Daley, 1996, Neural Computing & Applications.

A simulation study on fault diagnosis of a high-temperature furnace using a bilinear observer method

D. N. Shields, Dingli Yu, K. J. Disdell, 1996 .

A bilinear fault detection observer

Dingli Yu, D. N. Shields, Derek Nicholas Shields, 1996, Autom..

Factorized f-step radial basis function model for model predictive control

D. K. Siong Tok, Yantao Tian, Yiran Shi, 2017, Neurocomputing.

Sensor fault diagnosis for automotive engines with real data evaluation

Dingli Yu, Sangha, Jb Gomm, 2012 .

Development of adaptive p-step RBF network model with recursive orthogonal least squares training

Lei Gu, D. K. Siong Tok, Dingli Yu, 2016, Neural Computing and Applications.

A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks

Dingli Yu, D. Williams, J. B. Gomm, 1997, Neural Processing Letters.

A CEEMD Method for Diesel Engine Misfire Fault Diagnosis based on Vibration Signals

Yu Zhang, Jingfu Jin, Dingli Yu, 2020, 2020 39th Chinese Control Conference (CCC).

Driving Lane Change Intent Recognition Based on Vehicle Exterior Environment Variables

Yantao Tian, Dingli Yu, Shoutao Li, 2018, 2018 37th Chinese Control Conference (CCC).

Adaptive neural network model based predictive control for air-fuel ratio of SI engines

S. S. Douglas, Dingli Yu, J. B. Gomm, 2006, Eng. Appl. Artif. Intell..

A bilinear fault detection observer and its application to a hydraulic drive system

D. N. Shields, S. Daley, Dingli Yu, 1996 .

Automatic visual defects inspection of wind turbine blades via YOLO-based small object detection approach

Dingli Yu, Shuangxin Wang, Zifeng Qiu, 2019, J. Electronic Imaging.

An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models

Dingli Yu, Quan Min Zhu, Dong-Ya Zhao, 2017, Int. J. Syst. Sci..

Fault detection and isolation based on feedforward-feedback control for oxygen excess of fuel cell stack

Dingli Yu, M. K. Mahanijah, D. W. Yu, 2013, 2013 19th International Conference on Automation and Computing.

Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning network

Dingli Yu, Shuangxin Wang, Juchao Zhao, 2021, Intell. Data Anal..

Fault diagnosis for a hydraulic drive system using a parameter-estimation method

Ding-Wen Yu, Dingli Yu, Ding-Wen Yu, 1997 .

Robust visual-inertial odometry with point and line features for blade inspection UAV

Dingli Yu, Shuangxin Wang, Yufei Ma, 2021, Ind. Robot.

A two-layer modelling framework for predicting passenger flow on trains: A case study of London underground trains

Dingli Yu, Sarah K. Spurgeon, Qian Zhang, 2021 .

Dynamic Particle Swarm Optimization with Any Irregular Initial Small-World Topology

Dingli Yu, Shuangxin Wang, Guibin Tian, 2015, Int. J. Swarm Intell. Res..

Selecting radial basis function network centers with recursive orthogonal least squares training

Dingli Yu, J. B. Gomm, Dingli Yu, 2000, IEEE Trans. Neural Networks Learn. Syst..

Order and delay selection for neural network modelling by identification of linearized models

Dingli Yu, J. B. Gomm, Dingli Yu, 2000, Int. J. Syst. Sci..

Adaptive air-fuel ratio control with MLP network

Dingli Yu, Shi-Wei Wang, Dingli Yu, 2005, Int. J. Autom. Comput..

Adaptive RBF network for parameter estimation and stable air-fuel ratio control

Dingli Yu, Shiwei Wang, Dingli Yu, 2008, Neural Networks.

Dynamic fault detection and isolation for automotive engine air path by independent neural network model

Dingli Yu, Adnan Hamad, J. Barry Gomm, 2014 .

Sensor fault diagnosis in a chemical process via RBF neural networks

Dingli Yu, J. B. Gomm, David Williams, 1999 .

Extension of the parity-space method to fault diagnosis of bilinear systems

Dingli Yu, D. N. Shields, Derek Nicholas Shields, 2001, Int. J. Syst. Sci..

A parity space method of fault detection for bilinear systems

Dingli Yu, D. N. Shields, J. B. Gomm, 1995, Proceedings of 1995 American Control Conference - ACC'95.

A New Development of Internal Combustion Engine Air-Fuel Ratio Control With Second-Order Sliding Mode

Shiwei Wang, Dingli Yu, Dingli Yu, 2007 .

Modified Volterra model-based non-linear model predictive control of IC engines with real-time simulations

Yantao Tian, Dingli Yu, Yaowu Shi, 2017 .

Neural network fault classification of transient data in an automotive engine air path

Dingli Yu, J. B. Gomm, Mahavir S. Sangha, 2008, Int. J. Model. Identif. Control..

Neural Network Parameter Adaptation for a Fuel Injection Control System

Dingli Yu, Shiwei Wang, Dingli Yu, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

FAULT DETECTION AND IDENTIFICATION OF AUTOMOTIVE ENGINES USING NEURAL NETWORKS

J. B. Gomm, G. F. Page, Dingli Yu, 2005 .

Robustness assessment and adaptive FDI for car engine

J. Barry Gomm, Mahavir S Sangha, Dingli Yu, 2008, Int. J. Autom. Comput..

PID controller tuning for a multivariable glass furnace process by genetic algorithm

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2016, International Journal of Automation and Computing.

Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2014, 2014 20th International Conference on Automation and Computing.

Nonlinear Adaptive PID Control for a Semi-Batch Reactor Based On an RBF Network

Magdi M. Nabi, Dingli Yu, M. M. Nabi, 2014 .

RBF Modelling and Optimization Control for Semi-Batch Reactors

Magdi M. Nabi, Dingli Yu, M. M. Nabi, 2014 .

Model parameters identification for excess oxygen by Standard Genetic Algorithm

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2016, 2016 22nd International Conference on Automation and Computing (ICAC).

An Application of Second-Order Sliding Mode Control for IC Engine Fuel Injection

Dingli Yu, Shiwei Wang, Dingli Yu, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

A new model structure selection method for non-linear systems in neural modelling

Dingli Yu, J. B. Gomm, D. Williams, 1996 .

COMPARISON OF SINGLE-DIMENSIONAL AND MULTI-DIMENSIONAL OPTIMIZATION APPROACHES IN ADAPTIVE MODEL PREDICTIVE CONTROL FOR AIR-FUEL RATIO OF SI ENGINES

Dingli Yu, Y. Zhai, Kelin Wang, 2007 .

Neural network control of multivariable processes with a fast optimisation algorithm

Dingli Yu, Ding-Wen Yu, Dingli Yu, 2003, Neural Computing & Applications.