Use of neural nets for dynamic modeling and control of chemical process systems N Bhat, TJ McAvoy Computers & Chemical Engineering 14 (4-5), 573-582, 1990 | 997 | 1990 |
Nonlinear principal component analysis—based on principal curves and neural networks D Dong, TJ McAvoy Computers & Chemical Engineering 20 (1), 65-78, 1996 | 919 | 1996 |
Identification of faulty sensors using principal component analysis R Dunia, SJ Qin, TF Edgar, TJ McAvoy AIChE Journal 42 (10), 2797-2812, 1996 | 775 | 1996 |
Nonlinear PLS modeling using neural networks SJ Qin, TJ McAvoy Computers & Chemical Engineering 16 (4), 379-391, 1992 | 665 | 1992 |
Base control for the Tennessee Eastman problem TJ McAvoy, N Ye Computers & Chemical Engineering 18 (5), 383-413, 1994 | 470 | 1994 |
Interaction analysis: Principles and applications TJ McAvoy (No Title), 1983 | 408 | 1983 |
Dynamics of pH in controlled stirred tank reactor TJ McAvoy, E Hsu, S Lowenthal Industrial & engineering chemistry process design and development 11 (1), 68-70, 1972 | 395 | 1972 |
Modeling chemical process systems via neural computation NV Bhat, PA Minderman, T McAvoy, NS Wang IEEE Control Systems Magazine 10 (3), 24-30, 1990 | 393 | 1990 |
Isolation enhanced principal component analysis J Gertler, W Li, Y Huang, T McAvoy AIChE Journal 45 (2), 323-334, 1999 | 285 | 1999 |
Interacting Control Systems, Part I. Steady State and Dynamic Measurement of Interaction TJ Witcher, M. and McAvoy I.S.A. Transactions 16, 35-41, 1977 | 274* | 1977 |
Comparison of four neural net learning methods for dynamic system identification SZ Qin, HT Su, TJ McAvoy IEEE Transactions on Neural Networks 3 (1), 122-130, 1992 | 271 | 1992 |
Long-term predictions of chemical processes using recurrent neural networks: A parallel training approach HT Su, TJ McAvoy, P Werbos Industrial & engineering chemistry research 31 (5), 1338-1352, 1992 | 259 | 1992 |
Neural net based model predictive control J Saint-Donat, N Bhat, TJ McAvoy International Journal of Control 54 (6), 1453-1468, 1991 | 256 | 1991 |
Surface state trapping models for SnO2-based microhotplate sensors J Ding, TJ McAvoy, RE Cavicchi, S Semancik Sensors and Actuators B: Chemical 77 (3), 597-613, 2001 | 228 | 2001 |
Use of neural networks for sensor failure detection in a control system SR Naidu, E Zafiriou, TJ McAvoy IEEE Control Systems Magazine 10 (3), 49-55, 1990 | 227 | 1990 |
Intelligent control KJ Åström, TJ McAvoy Journal of Process control 2 (3), 115-127, 1992 | 197 | 1992 |
Optimization of temperature programmed sensing for gas identification using micro-hotplate sensors TA Kunt, TJ McAvoy, RE Cavicchi, S Semancik Sensors and Actuators B: Chemical 53 (1-2), 24-43, 1998 | 177 | 1998 |
Batch tracking via nonlinear principal component analysis D Dong, TJ McAvoy AIChE Journal 42 (8), 2199-2208, 1996 | 169 | 1996 |
Short cut operability analysis. 1. The relative disturbance gain G Stanley, M Marino-Galarraga, TJ McAvoy Industrial & Engineering Chemistry Process Design and Development 24 (4 …, 1985 | 167 | 1985 |
Determining Model Structure for Neural Models By Network Stripping TJ Bhat, N. and McAvoy Computers and Chemical Engineering 16, 271-281, 1992 | 139 | 1992 |