Liverpool Skyline

Department of Electronics and Electrical Engineering

Prof Dingli Yu

Prof Dingli Yu

Telephone: 0151 231 2033

Publications

Journal article

Li ST, Zhao D, Ding H, Han F, Yu DL. 2017. Control strategies of tandem master cylinder pedal stroke simulator Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 47 :1886-1893 >DOI

Deng LF, Shi Y, Zhu LX, Yu DL, Zhu R. 2017. Based on the multi variable system design and parameter tuning method of PID ntroller International Journal of Control and Automation, 10 :1-14 >DOI

Deng LF, Shi Y, Zhu LX, Yu DL, Zhu R. 2017. Research and application of failure detection method based on closed-loop systems International Journal of Control and Automation, 10 :1-12 >DOI

Deng LF, Shi YW, Zhu LX, Yu DL. 2017. Failure detection of closed-loop systems and application to SI engines Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 47 :577-582 >DOI

Siong Tok DK, Shi Y, Tian Y, Yu DL. 2017. Factorized f-step radial basis function model for model predictive control Neurocomputing, 239 :102-112 >DOI

Zhai Y-J, Yu D-L, Qian K-J, Lee S, Theera-Umpon N. 2017. A Soft Sensor-Based Fault-Tolerant Control on the Air Fuel Ratio of Spark-Ignition Engines ENERGIES, 10 >DOI >Link

Rajarathinam K, Gomm JB, Yu DL, Abdelhadi A. 2017. An improved search space resizing method for model identification by standard genetic algorithm Systems Science and Control Engineering, 5 :117-128 >DOI

Shi Y, Yu DL, Tian Y, Shi Y. 2017. Modified Volterra model-based non-linear model predictive control of IC engines with real-time simulations Transactions of the Institute of Measurement and Control, 39 :208-223 >DOI

Zhu Q, Yu D, Zhao D. 2017. An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 48 :451-461 >DOI >Link

Gu L, Tok DKS, Yu DL. 2016. Development of adaptive p-step RBF network model with recursive orthogonal least squares training Neural Computing and Applications, :1-10 >DOI

Rajarathinam K, Gomm JB, Yu DL, Abdelhadi AS. 2016. PID controller tuning for a multivariable glass furnace process by genetic algorithm International Journal of Automation and Computing, 13 :64-72 >DOI

Tok DKS, Yu D-L, Mathews C, Zhao D-Y, Zhu Q-M. 2015. Adaptive structure radial basis function network model for processes with operating region migration NEUROCOMPUTING, 155 :186-193 >DOI >Link

Shi Y, Yu D-L, Tian Y, Shi Y. 2015. Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 45 :313-324 >DOI >Link

Kamal MM, Yu DW, Yu DL. 2014. Fault detection and isolation for PEM fuel cell stack with independent RBF model ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 28 :52-63 >DOI >Link

Hamad A, Zhao DY, Yu DL, Zhu QM. 2013. On-board monitoring of air path for automotive IC engines International Journal of Modelling, Identification and Control, 20 :1-15 >DOI

Mahanijah MK, Yu DW, Yu DL. 2013. Fault detection and isolation based on feedforward-feedback control for oxygen excess of fuel cell stack ICAC 2013 - Proceedings of the 19th International Conference on Automation and Computing: Future Energy and Automation, :156-160

Ragb O, Zhao DY, Yu DL, Zhu QM. 2013. Comparison study of different non-linear feed-forward controllers for oxygen starvation control of PEM fuel cell stacks International Journal of Modelling, Identification and Control, 19 :352-360 >DOI

Yu D, Hamad A, Gomm JB. 2012. Dynamic Fault Detection and Isolation For Automotive Engine Air Path By Independent Neural Network Model International Journal of Engine Research, 15 :87-100 >DOI

Bian X, Yan Z, Chen T, Yu DL, Zhao Y. 2012. Mission management and control of BSA-AUV for ocean survey OCEAN ENGINEERING, 55 :161-174 >DOI >Link

Zhai Y-J, Yu D-W, Guo H-Y, Yu DL. 2010. Robust air/fuel ratio control with adaptive DRNN model and AD tuning ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 23 :283-289 >DOI >Link

Zhai Y-J, Yu D-L. 2009. Neural network model-based automotive engine air/fuel ratio control and robustness evaluation ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 22 :171-180 >DOI >Link

Wang SW, Yu DL. 2008. Neural network-based integral sliding mode control for nonlinear uncertain systems Lecture Notes in Electrical Engineering, 5 LNEE :245-257 >DOI

Wang S, Yu DL. 2008. Adaptive RBF network for parameter estimation and stable air-fuel ratio control NEURAL NETWORKS, 21 :102-112 >DOI >Link

Zhai YJ, Yu DL. 2008. Radial-basis-function-based feedforward-feedback control for air-fuel ratio of spark ignition engines PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 222 :415-428 >DOI >Link

Wang S, Yu DL. 2007. Neural network parameter adaptation for a fuel injection control system Canadian Conference on Electrical and Computer Engineering, :558-561 >DOI

Wang S, Yu DL. 2007. An application of second-order sliding mode control for IC engine fuel injection Canadian Conference on Electrical and Computer Engineering, :1035-1038 >DOI

Sangha MS, Yu DL, Gomm JB. 2007. Adaptive FDI for automotive engine air path and robustness assessment under closed-loop control INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 8 :637-650 >Link

Yu DL, Yu DW. 2007. A new structure adaptation algorithm for RBF networks and its application NEURAL COMPUTING & APPLICATIONS, 16 :91-100 >DOI >Link

Yu DL, Chang TK, Yu DW. 2007. A stable self-learning PID control for multivariable time varying systems CONTROL ENGINEERING PRACTICE, 15 :1577-1587 >DOI >Link

Wang S, Yu DL. 2007. A new development of internal combustion engine air-fuel ratio control with second-order sliding mode JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 129 :757-766 >DOI >Link

Yu DW, Yu DL. 2007. Multi-rate model predictive control of a chemical reactor based on three neural models BIOCHEMICAL ENGINEERING JOURNAL, 37 :86-97 >DOI >Link

Wang SW, Yu DL, Gomm IB, Page GF, Douglas SS. 2006. Adaptive neural network model based predictive control of an internal combustion engine with a new optimization algorithm PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 220 :195-208 >DOI >Link

Wang SW, Yu DL, Gomm JB, Page GF, Douglas SS. 2006. Adaptive neural network model based predictive control for air-fuel ratio of SI engines ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 19 :189-200 >DOI >Link

Yu D-L, Yu D-W, Gomm JB. 2006. Neural model adaptation and predictive control of a chemical process rig IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 14 :828-840 >DOI >Link

Sangha MS, Yu DL, Gomm JB. 2006. On-board monitoring and diagnosis for spark ignition engine air path via adaptive neural networks PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 220 :1641-1655 >DOI >Link

Sangha MS, Gomm JB, Yu DL, Page GF. 2005. Fault detection and identification of automotive engines using neural networks IFAC Proceedings Volumes (IFAC-PapersOnline), 16 :272-277

Wang SW, Yu DL, Gomm JB, Beham M, Page GF, Douglas SS. 2005. Adaptive modelling and predictive control of an IC engine IFAC Proceedings Volumes (IFAC-PapersOnline), 16 :242-247

Yu DL, Yu DW, Gomm JB, Page GF. 2005. A new development of adaptive model predictive control IFAC Proceedings Volumes (IFAC-PapersOnline), 16 :348-353

Beham M, Yu DL. 2005. On-line control for optimal ignition timing using the pseudolinear radial basis function and the local linear model tree PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 219 :227-240 >DOI >Link

Yu DL, Chang TK, Yu DW. 2005. Fault tolerant control of multivariable processes using auto-tuning PID controller IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 35 :32-43 >DOI >Link

Yu DL, Chang TK, Yu DW. 2005. Adaptive neural model-based fault tolerant control for multi-variable processes ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 18 :393-411 >DOI >Link

Yu DL, Chang TK. 2005. Adaptation of diagonal recurrent neural network model NEURAL COMPUTING & APPLICATIONS, 14 :189-197 >DOI >Link

Yu DW, Yu DL. 2005. Modeling a multivariable reactor and on-line model predictive control ISA TRANSACTIONS, 44 :539-559 >DOI >Link

Chang TK, Yu DL, Yu DW. 2004. Neural network model adaptation and its application to process control ADVANCED ENGINEERING INFORMATICS, 18 :1-8 >DOI >Link

Yu DL, Yu DW, Gomm JB, Page GF. 2004. Adaptive RBF model for model-based control Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 1 :78-82

Beham M, Etzel M, Yu DL. 2004. Development of a new automatic calibration method for control of variable valve timing PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 218 :707-718 >DOI >Link

Beham M, Yu DL. 2004. Modelling a variable valve timing spark ignition engine using different neural networks Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 218 :1159-1171 >DOI

Beham M, Yu DL. 2004. Modelling a variable valve timing spark ignition engine using different neural networks PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 218 :1159-1171 >DOI >Link

Yu DL. 2004. A localized forgetting method for Gaussian RBFN model adaptation NEURAL PROCESSING LETTERS, 20 :125-135 >DOI >Link

Wang J, Sii HS, Yang JB, Pillay A, Yu D, Liu J, Maistralis E, A Saajedi . 2004. Use of advances in technology for maritime risk assessment. Risk Anal, 24 :1041-1063 >DOI >Link

Yu DL, Yu DW. 2003. A linear parameter-varying radial basis function model and predictive control of a chemical reactor INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 34 :747-761 >DOI >Link

Yu DW, Yu DL. 2003. A comparison study on a chemical reactor modelling with a physical model and PLRBF networks ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 16 :629-645 >DOI >Link

Yu DW, Yu DL. 2003. Neural network control of multivariable processes with a fast optimisation algorithm NEURAL COMPUTING & APPLICATIONS, 12 :185-189 >DOI >Link

Yu DL, Gomm JB. 2002. Enhanced neural network modelling for a real multivariable chemical process NEURAL COMPUTING & APPLICATIONS, 10 :289-299 >DOI >Link

Yu DL, Shields DN. 2001. Extension of the parity-space method to fault diagnosis of bilinear systems INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 32 :953-962 >DOI >Link

Gomm JB, Yu DL. 2000. Selecting radial basis function network centers with recursive orthogonal least squares training IEEE TRANSACTIONS ON NEURAL NETWORKS, 11 :306-314 >DOI >Link

Yu DL, Gomm JB, Williams D. 2000. Neural model input selection for a MIMO chemical process ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 13 :15-23 >DOI >Link

Yu DL, Williams D, Gomm JB. 2000. On-line implementation of a neural network model predictive controller IEE Colloquium (Digest), :39-42

Yu DL. 2000. Diagnosing simulated faults for an industrial furnace based on bilinear model IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 8 :435-442 >DOI >Link

Gomm JB, Yu DL. 2000. Order and delay selection for neural network modelling by identification of linearized models INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 31 :1273-1283 >DOI >Link

Yu DL, Gomm JB, Williams D. 1999. Sensor fault diagnosis in a chemical process via RBF neural networks CONTROL ENGINEERING PRACTICE, 7 :49-55 >DOI >Link

Yu DL, Williams D, Gomm JB. 1999. On-line implementation of a model predictive controller on a multivariable chemical process IEE Colloquium (Digest), :5-9

Yu DL, Gomm JB, Williams D. 1997. A recursive orthogonal least squares algorithm for training RBF networks NEURAL PROCESSING LETTERS, 5 :167-176 >DOI >Link

Yu DL, Shields DN. 1997. A bilinear fault detection filter INTERNATIONAL JOURNAL OF CONTROL, 68 :417-430 >DOI >Link

Yu D. 1997. Fault diagnosis for a hydraulic drive system using a parameter-estimation method CONTROL ENGINEERING PRACTICE, 5 :1283-1291 >DOI >Link

Gomm JB, Yu DL, Williams D. 1996. New model structure selection method for non-linear systems in neural modelling IEE Conference Publication, :752-757

Yu DL, Shields DN, Daley S. 1996. A bilinear fault detection observer and its application to a hydraulic drive system INTERNATIONAL JOURNAL OF CONTROL, 64 :1023-1047 >DOI >Link

Yu DL, Shields DN, Disdell K. 1996. A simulation study on fault diagnosis of a high-temperature furnace using a bilinear observer method CONTROL ENGINEERING PRACTICE, 4 :1681-1691 >DOI >Link

Chen X, Sufian M, Yu D. Investigating the Capability of Precision in Robotic Grinding Xplore, the 23rd International Conference on Automation & Computing,

ERTIAME AM, YU DL, YU F, GOMM JB. Robust fault diagnosis for an exothermic semi-batch polymerization reactor under open-loop Systems Science & Control Engineering, 3 :14-23 >DOI

Conference publication

Borairi M, Soufian M, Yu DL. 2017. Fault Detection Observer of a Pilot Plant Papermaking Machine 2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 26th IEEE International Symposium on Industrial Electronics (ISIE) :1820-1824 >Link

Rajarathinam K, Gomm JB, Yu D, Abdelhadi AS. 2016. Model Parameters Identification for Excess Oxygen by Standard Genetic Algorithm Xu Z, Wang J. 2016 22ND INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 22nd International Conference on Automation & Computing (ICAC) :198-203 >Link

Rajarathinam K, Gomm JB, Yu D, Abdelhadi AS. 2015. An improved search space resizing method for model identification by Standard Genetic Algorithm 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015, 21st International Conference on Automation and Computing (ICAC) :1-6 >DOI

Li S, Guo P, Jiang W, Ding H, Yu D. 2015. Research on Response Characteristics and Parameters Optimization of High-speed Solenoid Valve Zhao Q, Liu S. 2015 34TH CHINESE CONTROL CONFERENCE (CCC), 34th Chinese Control Conference (CCC) :2327-2332 >Link

Kamal MM, Yu D. 2014. Online fault diagnosis of fuel cell systems using independent MLP neural network model 2014 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND SYSTEM ENGINEERING (ICEESE), 2nd International Conference on Electrical, Electronics and System Engineering (ICEESE) :38-41 >Link

Liu Y, Yu D-L. 2014. Robust fault detection for wind turbine systems Luo X, Cao Y, Tong Z. PROCEEDINGS OF THE 2014 20TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC'14), 20th International Conference on Automation and Computing (ICAC) :38-42 >Link

Abdelhadi A, Gomm JB, Yu D, Rajarathinam K. 2014. Nonlinear System Identification and Control of a pH process using Local Linear Model Networks Strategy Luo X, Cao Y, Tong Z. PROCEEDINGS OF THE 2014 20TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC'14), 20th International Conference on Automation and Computing (ICAC) :254-259 >Link

Rajarathinam K, Gomm JB, Yu D, Abdelhadi AS. 2014. Decentralised PID Control Tuning for a Multivariable Glass Furnace by Genetic Algorithm Luo X, Cao Y, Tong Z. PROCEEDINGS OF THE 2014 20TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC'14), 20th International Conference on Automation and Computing (ICAC) :14-19 >Link

Abdelhadi A, Gomm JB, Yu D, Rajarathinam K. 2014. Comparison of RBF and Local Linear Model Networks for Nonlinear Identification of a pH Process 2014 UKACC INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), United-Kingdom-Automatic-Control-Council (UKACC) 10th International Conference on Control (CONTROL) :361-366 >Link

Wang S, Yu D-L. 2007. Neural network in stable adaptive control law for automotive engines Liu D, Fei S, Hou ZG, Zhang HG, Sun CY. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 4th International Symposium on Neural Networks (ISNN 2007) 4491 :122-+ >Link

Zhai Y-J, Yu D-L. 2007. A neural network model based MPC of engine AFR with single-dimensional optimization Liu D, Fei S, Hou ZG, Zhang HG, Sun CY. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 4th International Symposium on Neural Networks (ISNN 2007) 4491 :339-+ >Link

Wang S, Yu DL, IAENG . 2007. Robust integral sliding mode control against matched and unmatched system uncertainty IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, :1483-1488 >Link

Wang S, Yu DL, IAENG . 2007. A new fuel injection control solution via simple and adaptive sliding mode IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, :1528-1535 >Link

Yu DL, Chang TK, Yu DW. 2007. An on-line learning algorithm of parallel mode for MLPN models Advances in Neural Networks - ISNN 2007, Pt 2, Proceedings, 4492 :432-437 >Link

Yu D-L, Chang T-K. 2006. Fault diagnosis with enhanced neural network modelling Wang J, Yi Z, Zurada JM, Lu BL, Yin H. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS, 3rd International Symposium on Neural Networks (ISNN 2006) 3973 :358-363 >Link

Yu D-W, Yu D-L. 2006. Adaptive pseudo linear RBF model for process control Wang J, Yi Z, Zurada JM, Lu BL, Yin H. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS, 3rd International Symposium on Neural Networks (ISNN 2006) 3972 :1013-1018 >Link

Wang S, Yu DL, IEEE . 2006. An application of second-order sliding mode control for ic engine fuel injection 2006 Canadian Conference on Electrical and Computer Engineering, Vols 1-5, :961-964 >Link

Wang S, Yu DL, IEEE . 2006. Neural network parameter adaptation for a fuel injection control 2006 Canadian Conference on Electrical and Computer Engineering, Vols 1-5, :981-984 >Link

Yu DL, Chang TH, Wang J. 2005. Fault tolerant control of nonlinear processes with adaptive diagonal recurrent neural network model Wang J, Liao X, Yi Z. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2nd International Symposium on Neural Networks 3498 :86-91 >Link

Yu DL, Yu DW. 2005. Detecting sensor faults for a chemical reactor rig via adaptive neural network model Wang J, Liao X, Yi Z. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2nd International Symposium on Neural Networks 3498 :544-549 >Link

Yu DL, Beham M. 2005. Comparative study on engine torque modelling using different neural networks Wang J, Liao X, Yi Z. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2nd International Symposium on Neural Networks 3498 :865-870 >Link

Yu DL, Gomm JB. 2003. Implementation of neural network predictive control to a multivariable chemical reactor CONTROL ENGINEERING PRACTICE, 14th IFAC World Congress 11 :1315-1323 >DOI >Link

Yu DL, Yu DW, Gomm JB, Williams D. 2002. Model predictive control of a chemical process based on an adaptive neural network IFAC Proceedings Volumes (IFAC-PapersOnline), 15 :295-300

Yu DL, Gomm JB. 2002. RBFN model adaptation based on orthogonal decomposition Bittanti S. ADAPTATION AND LEARNING IN CONTROL AND SIGNAL PROCESSING 2001, IFAC Workshop on Adaptation and Learning in Control and Signal Processing :101-106 >Link

Chang TK, Yu DL. 2002. Fault-tolerant control based on adaptive neural network Katebi R. CONTROL APPLICATIONS IN MARINE SYSTEMS 2001 (CAMS 2001), IFAC Conference on Control Applications in Marine Systems :77-82 >Link

Chang TK, Yu DL, Williams D. 2002. Enhanced neural network modelling for process fault diagnosis Katebi R. CONTROL APPLICATIONS IN MARINE SYSTEMS 2001 (CAMS 2001), IFAC Conference on Control Applications in Marine Systems :215-220 >Link

Chang TK, Yu DL, Williams D. 2002. A parallel MLPN model with EKF-based on-line learning algorithm Katebi R. CONTROL APPLICATIONS IN MARINE SYSTEMS 2001 (CAMS 2001), IFAC Conference on Control Applications in Marine Systems :499-504 >Link

Yu DL, Gomm JB, Williams D. 1998. Selection of neural model order and time-delay for MIMO non-linear systems and a case study on a CSTR process Sawaragi Y, Sagara S. (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 11th IFAC Symposium on System Identification (SYSID 97) :227-232 >Link

Yu DL, Gomm JB, Williams D. 1998. Modelling a MIMO chemical process using a RBF network with recursive OLS updating Sawaragi Y, Sagara S. (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 11th IFAC Symposium on System Identification (SYSID 97) :549-554 >Link

Yu DL, Gomm JB, Williams D. 1998. Model predictive control of a chemical process using neural network UKACC INTERNATIONAL CONFERENCE ON CONTROL '98, VOLS I&II, UKACC International Conference on Control 98 :798-803 >Link

Yu DL, Gomm JB, Williams D. 1998. Diagnosing sensor faults in a chemical process via rbf networks Patton RJ, Chen J. (SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3, 3rd IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes 1997 (SAFEPROCESS 97) :893-898 >Link

Yu DL. 1998. Application of parameter estimation method to fault diagnosis of a hydraulic system Sawaragi Y, Sagara S. (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 11th IFAC Symposium on System Identification (SYSID 97) :609-614 >Link

Yu DL, Shields DN. 1998. An extended parity space method and a case study on an industrial furnace Patton RJ, Chen J. (SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3, 3rd IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes 1997 (SAFEPROCESS 97) :771-776 >Link

Yu D, Shields DN. 1996. A bilinear fault detection observer AUTOMATICA, 2nd IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 94) 32 :1597-1602 >DOI >Link

Yu DL, Shields DN. 1995. Optimally robust fault diagnosis using genetic algorithms Pearson DW, Steele NC, Albrecht RF. ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, International Conference on Artificial Neural Nets and Genetic Algorithms :104-107 >Link

YU DL, GOMM JB, SHIELDS DN, WILLIAMS D, DISDELL K. 1995. Fault diagnosis for a gas-fired furnace using bilinear observer method PROCEEDINGS OF THE 1995 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1995 American Control Conference :1127-1131 >Link

Yu DL, Shields DN, Daley S. 1995. Application of radial basis function networks to fault diagnosis for a hydraulic system Pearson DW, Steele NC, Albrecht RF. ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, International Conference on Artificial Neural Nets and Genetic Algorithms :100-103 >Link

YU DL, WILLIAMS D, SHIELD DN, GOMM JB. 1995. A parity space method of fault detection for bilinear systems PROCEEDINGS OF THE 1995 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1995 American Control Conference :1132-1133 >Link

YU DL, SHIELDS DN, MAHTANI JL. 1994. FAULT-DETECTION FOR BILINEAR-SYSTEMS WITH APPLICATION TO A HYDRAULIC SYSTEM PROCEEDINGS OF THE THIRD IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-3, 3rd IEEE Conference on Control Applications :1379-1384 >DOI >Link

YU DL, SHIELDS DN, MAHTANI JL. 1994. A NONLINEAR FAULT-DETECTION METHOD FOR A HYDRAULIC SYSTEM INTERNATIONAL CONFERENCE ON CONTROL 94, VOLS 1 AND 2, International Conference on Control 94 :1318-1322 >Link