Ai Hui Tan
Ai Hui Tan
Associate Professor
Verified email at mmu.edu.my
Title
Cited by
Cited by
Year
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
1052002
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
842005
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
732005
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
662002
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
392009
Identification of processes with direction-dependent dynamics
AH Tan, KR Godfrey
IEE Proceedings-Control Theory and Applications 148 (5), 362-369, 2001
262001
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
242005
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
212004
Optimization of neural networks using variable structure systems
SA Mohseni, AH Tan
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012
182012
An improved routine for designing multi-level multi-harmonic signals
AH Tan, KR Godfrey
Proc. UKACC Int. Conf. Control, 2004
182004
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
172015
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
172004
Industrial Process Identification
AH Tan, KR Godfrey
Springer International Publishing, 2019
162019
Direct synthesis of pseudo-random ternary perturbation signals with harmonic multiples of two and three suppressed
AH Tan
Automatica 49 (10), 2975-2981, 2013
162013
Continuous-time model identification of a cooling system with variable delay
AH Tan, CL Cham
IET Control Theory & Applications 5 (7), 913-922, 2011
142011
Ternary input signal design for system identification
HA Barker, AH Tan, KR Godfrey
Control Theory & Applications, IET 1 (5), 1224-1233, 2007
142007
Identification of direction-dependent processes using maximum length ternary signals
AH Tan
IEE Proceedings-Control Theory and Applications 150 (2), 170-178, 2003
142003
Wiener models of direction-dependent dynamic systems
HA Barker, AH Tan, KR Godfrey
Automatica 39 (1), 127-133, 2003
142003
Identification of a multivariable nonlinear and time-varying mist reactor system
CL Cham, AH Tan, WH Tan
Control Engineering Practice 63, 13-23, 2017
132017
Direction-dependent systems—A survey
AH Tan
Automatica 45 (12), 2729-2743, 2009
132009
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