| The generation of binary and near-binary pseudorandom signals: an overview AH Tan, KR Godfrey Instrumentation and Measurement, IEEE Transactions on 51 (4), 583-588, 2002 | 145 | 2002 |
| A survey of readily accessible perturbation signals for system identification in the frequency domain KR Godfrey, AH Tan, HA Barker, B Chong Control engineering practice 13 (11), 1391-1402, 2005 | 96 | 2005 |
| From a Gaussian mixture model to additive fuzzy systems MT Gan, M Hanmandlu, AH Tan IEEE Transactions on Fuzzy Systems 13 (3), 303-316, 2005 | 80 | 2005 |
| Identification of Wiener-Hammerstein models using linear interpolation in the frequency domain (LIFRED) AH Tan, K Godfrey IEEE Transactions on Instrumentation and Measurement 51 (3), 509-521, 2002 | 72 | 2002 |
| Industrial Process Identification AH Tan, KR Godfrey Springer International Publishing, 2019 | 53 | 2019 |
| Design of ternary signals for MIMO identification in the presence of noise and nonlinear distortion AH Tan, KR Godfrey, HA Barker IEEE Transactions on Control Systems Technology 17 (4), 926-933, 2009 | 40 | 2009 |
| Optimization of neural networks using variable structure systems SA Mohseni, AH Tan IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012 | 26 | 2012 |
| Identification of an electric resistance furnace KC Chook, AH Tan IEEE Transactions on Instrumentation and Measurement 56 (6), 2262-2270, 2007 | 26 | 2007 |
| Design of computer-optimized pseudorandom maximum length signals for linear identification in the presence of nonlinear distortions AH Tan, KR Godfrey, HA Barker IEEE transactions on instrumentation and measurement 54 (6), 2513-2519, 2005 | 26 | 2005 |
| Identification of processes with direction-dependent dynamics AH Tan, KR Godfrey IEE Proceedings-Control Theory and Applications 148 (5), 362-369, 2001 | 26 | 2001 |
| Direct synthesis of pseudo-random ternary perturbation signals with harmonic multiples of two and three suppressed AH Tan Automatica 49 (10), 2975-2981, 2013 | 24 | 2013 |
| Design of multilevel perturbation signals with harmonic properties suitable for nonlinear system identification HA Barker, AH Tan, KR Godfrey IEE Proceedings-Control Theory and Applications 151 (2), 145-151, 2004 | 22 | 2004 |
| Identification of a multivariable nonlinear and time-varying mist reactor system CL Cham, AH Tan, WH Tan Control Engineering Practice 63, 13-23, 2017 | 21 | 2017 |
| Identification of multi-input systems using simultaneous perturbation by pseudorandom input signals AH Tan, HA Barker, KR Godfrey IET Control Theory & Applications 9 (15), 2283-2292, 2015 | 19 | 2015 |
| An improved routine for designing multi-level multi-harmonic signals AH Tan, KR Godfrey Proc. UKACC Int. Conf. Control, 2004 | 19 | 2004 |
| Modeling of direction-dependent processes using Wiener models and neural networks with nonlinear output error structure AH Tan, K Godfrey IEEE Transactions on Instrumentation and Measurement 53 (3), 744-753, 2004 | 19 | 2004 |
| Direction-dependent systems—A survey AH Tan Automatica 45 (12), 2729-2743, 2009 | 18 | 2009 |
| A guide to the design and selection of perturbation signals AH Tan, KR Godfrey Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 18 | 2009 |
| Identification of a Wiener–Hammerstein system using an incremental nonlinear optimisation technique AH Tan, HK Wong, K Godfrey Control Engineering Practice 20 (11), 1140-1148, 2012 | 16 | 2012 |
| Ternary input signal design for system identification HA Barker, AH Tan, KR Godfrey Control Theory & Applications, IET 1 (5), 1224-1233, 2007 | 16 | 2007 |
