| Nanoscale heterogeneity promotes energy dissipation in bone K Tai, M Dao, S Suresh, A Palazoglu, C Ortiz Nature materials 6 (6), 454-462, 2007 | 421 | 2007 |
| Nolinear model predictive control using Hammerstein models KP Fruzzetti, A Palazoğlu, KA McDonald Journal of process control 7 (1), 31-41, 1997 | 348 | 1997 |
| Operational optimization and demand response of hybrid renewable energy systems X Wang, A Palazoglu, NH El-Farra Applied Energy 143, 324-335, 2015 | 286 | 2015 |
| Model predictive control based on Wiener models SJ Norquay, A Palazoglu, JA Romagnoli Chemical Engineering Science 53 (1), 75-84, 1998 | 211 | 1998 |
| Prediction of 24-hour-average PM2. 5 concentrations using a hidden Markov model with different emission distributions in Northern California W Sun, H Zhang, A Palazoglu, A Singh, W Zhang, S Liu Science of the total environment 443, 93-103, 2013 | 179 | 2013 |
| Introduction to process control JA Romagnoli, A Palazoglu CRC press, 2020 | 166 | 2020 |
| Application of Wiener model predictive control (WMPC) to a pH neutralization experiment SJ Norquay, A Palazoglu, JA Romagnoli IEEE Transactions on Control Systems Technology 7 (4), 437-445, 1999 | 153 | 1999 |
| Real-time fault detection and diagnosis using sparse principal component analysis S Gajjar, M Kulahci, A Palazoglu Journal of Process Control 67, 112-128, 2018 | 130 | 2018 |
| Sliding mode control of nonlinear distributed parameter chemical processes EM Hanczyc, A Palazoglu Industrial & engineering chemistry research 34 (2), 557-566, 1995 | 116 | 1995 |
| Real-time implementation of multi-linear model-based control strategies––an application to a bench-scale pH neutralization reactor O Galan, JA Romagnoli, A Palazoglu Journal of Process Control 14 (5), 571-579, 2004 | 106 | 2004 |
| Fault diagnosis of rolling bearing based on wavelet transform and envelope spectrum correlation W Sun, G An Yang, Q Chen, A Palazoglu, K Feng Journal of Vibration and Control 19 (6), 924-941, 2013 | 97 | 2013 |
| Gap metric concept and implications for multilinear model-based controller design O Galán, JA Romagnoli, A Palazoǧlu, Y Arkun Industrial & engineering chemistry research 42 (10), 2189-2197, 2003 | 95 | 2003 |
| Chemical process performance evaluation A Cinar, A Palazoglu, F Kayihan CRC press, 2007 | 92 | 2007 |
| Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems X Wang, NH El-Farra, A Palazoglu Renewable Energy 100, 53-64, 2017 | 84 | 2017 |
| An economic receding horizon optimization approach for energy management in the chlor-alkali process with hybrid renewable energy generation X Wang, H Teichgraeber, A Palazoglu, NH El-Farra Journal of Process Control 24 (8), 1318-1327, 2014 | 80 | 2014 |
| Application of Wiener model predictive control (WMPC) to an industrial C2-splitter SJ Norquay, A Palazoglu, JA Romagnoli Journal of Process Control 9 (6), 461-473, 1999 | 75 | 1999 |
| Enhanced feature analysis using wavelets for scanning probe microscopy images of surfaces A Maksumov, R Vidu, A Palazoglu, P Stroeve Journal of colloid and interface science 272 (2), 365-377, 2004 | 74 | 2004 |
| Robust H∞ control of nonlinear plants based on multi-linear models: an application to a bench-scale pH neutralization reactor O Gálan, JA Romagnoli, A Palazoglu Chemical Engineering Science 55 (20), 4435-4450, 2000 | 74 | 2000 |
| A data-driven multidimensional visualization technique for process fault detection and diagnosis S Gajjar, A Palazoglu Chemometrics and Intelligent Laboratory Systems 154, 122-136, 2016 | 72 | 2016 |
| An adaptive multimode process monitoring strategy based on mode clustering and mode unfolding C Tong, A Palazoglu, X Yan Journal of Process Control 23 (10), 1497-1507, 2013 | 72 | 2013 |
José A. RomagnoliCain Endowed Chair & Professor, Department of Chemical Engineering, Louisiana State UniversityVerified email at lsu.edu
