Alexander G. Parlos

Publication Activity (10 Years)

Years Active: 1990-2007
Publications (10 Years): 0

Publications

Dan Ye, Alexander G. Parlos
Predictive Path Switching Control for Improving the Quality of Service in Real-Time Applications. J. Sel. Topics Signal Processing 1 (2) (2007)
Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto, Amir F. Atiya, Kimberly C. Claffy
Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks. IEEE Trans. Neural Networks 16 (5) (2005)
Hua Su, Kil To Chong, Alexander G. Parlos
A Neural Network Method for Induction Machine Fault Detection with Vibration Signal. ICCSA (2) (2005)
Amir F. Atiya, Mohamed A. Aly, Alexander G. Parlos
Sparse basis selection: new results and application to adaptive prediction of video source traffic. IEEE Trans. Neural Networks 16 (5) (2005)
Alexander G. Parlos, Dan Ye
A transport model for flow processes characterized by time-varying time delays. CDC (2003)
Nikolaos Kazantzis, Kil To Chong, Jong Ho Park, Alexander G. Parlos
Control-relevant discretization of nonlinear systems with time-delay using Taylor-Lie series. ACC (2003)
Kyusung Kim, Alexander G. Parlos, Raj Mohan Bharadwaj
Sensorless fault diagnosis of induction motors. IEEE Trans. Ind. Electron. 50 (5) (2003)
Aninda Bhattacharya, Alexander G. Parlos, Amir F. Atiya
Prediction of MPEG-coded video source traffic using recurrent neural networks. IEEE Trans. Signal Process. 51 (8) (2003)
Alexander G. Parlos, Kyusung Kim, Raj Mohan Bharadwaj
Detection of induction motor faults-combining signal-based and model-based techniques. ACC (2002)
Alexander G. Parlos, Kyusung Kim
Development and experimental demonstration of a model-based fault detection system for electromechanical systems. ACC (2001)
Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
An algorithmic approach to adaptive state filtering using recurrent neural networks. IEEE Trans. Neural Networks 12 (6) (2001)
Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
Neuro-predictive process control using online controller adaptation. IEEE Trans. Control. Syst. Technol. 9 (5) (2001)
Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
Neuro-predictive process control using online controller adaptation. ACC (2000)
Amir F. Atiya, Alexander G. Parlos
New results on recurrent network training: unifying the algorithms and accelerating convergence. IEEE Trans. Neural Networks Learn. Syst. 11 (3) (2000)
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
Multi-step-ahead prediction using dynamic recurrent neural networks. Neural Networks 13 (7) (2000)
Jayakumar Muthusami, Alexander G. Parlos, R. Kumar Pandey, Jo W. Howze
Control-relevant modeling of the Czockralski single crystal growth process using neural networks. ACC (2000)
Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
Adaptive state estimation using dynamic recurrent neural networks. IJCNN (1999)
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
Multi-step-ahead prediction using dynamic recurrent neural networks. IJCNN (1999)
Raj Mohan Bharadwaj, Alexander G. Parlos, Hamid A. Toliyat, Sunil K. Menon
A neural network-based speed filter for induction motors: Adapting to motor load changes. IJCNN (1999)
Alexander G. Parlos
Fuzzy logic and neural networks: clips from the field. IEEE Trans. Neural Networks 5 (4) (1994)
Alexander G. Parlos, Kil To Chong, Amir F. Atiya
Application of the recurrent multilayer perceptron in modeling complex process dynamics. IEEE Trans. Neural Networks 5 (2) (1994)
Alexander G. Parlos, Benito Fernandez, Amir F. Atiya, Jayakumar Muthusami, Wei Kang Tsai
An accelerated learning algorithm for multilayer perceptron networks. IEEE Trans. Neural Networks 5 (3) (1994)
Benito Fernandez, Alexander G. Parlos, Wei Kang Tsai
Nonlinear dynamic system identification using artificial neural networks (ANNs). IJCNN (1990)
Wei Kang Tsai, Alexander G. Parlos, Benito Fernandez
An associative memory knowledge base for diagnostic and high level control functions. TAI (1990)
Wei Kang Tsai, Alexander G. Parlos, Benito Fernandez
ASDM-a novel neural network model based on sparse distributed memory. IJCNN (1990)