A. Parlos

发表

New results on recurrent network training: unifying the algorithms and accelerating convergence

Amir F. Atiya, Alexander G. Parlos, A. Atiya, 2000, IEEE Trans. Neural Networks Learn. Syst..

Identification of nonlinear dynamics using a general spatio-temporal network

A. Atiya, A. Parlos, 1995 .

Sensorless fault diagnosis of induction motors

Alexander G. Parlos, Kyusung Kim, Raj Mohan Bharadwaj, 2003, IEEE Trans. Ind. Electron..

A numerical solution to the point kinetic equations using Taylor–Lie series combined with a scaling and squaring technique

Felipe P. Vista, Felipe P Vista, A. Parlos, 2014 .

Incipient fault detection and identification in process systems using accelerated neural network learning

Alexander G. Parlos, Amir F. Atiya, Jayakumar Muthusami, 1994 .

Multivariable control system synthesis based on the unknown-but-bounded disturbance model

Alexander G. Parlos, Wei K. Tsai, A. Parlos, 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

Minimizing the effects of unknown-but-bounded disturbance in power plants

A. Parlos, W. Tsai, 1987, 26th IEEE Conference on Decision and Control.

Gain-Scheduled Nonlinear Control of U-Tube Steam Generator Water Level

A. Parlos, S. Menon, 1992 .

Robust controller design for a space station using ellipsoidal set-theoretic bounds

A. Parlos, W. Tsai, J. Sunkel, 2002 .

NOISE-SENSITIVE LOOPS IDENTIFICATION FOR LINEAR TIME-VARYING ANALOG CIRCUITS A Thesis by

A. Parlos, M. Begovic, Peng Li, 2016 .

of Robust Controllers for Power Systems

A. Parlos, W. Tsai, 1990 .

DESIGN OF COMPACT FREQUENCY SYNTHESIZER FOR SELF-CALIBRATION IN RF CIRCUITS

A. Parlos, H. Taylor, 2004 .

FINAL REPORT - JUST-IN-TIME MAINTENANCE OF NUCLEAR POWER PLANTS

Alexander G. Parlos, A. Parlos, 2002 .

Gain-Scheduled Adaptive Control for Seismically Excited Hybrid Structures

Alexander G. Parlos, James R. Morgan, Moises A. Abraham, 2001 .

Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks

Amir F. Atiya, Thomas Parisini, Chuanyi Ji, 2005, IEEE Trans. Neural Networks.

DETECTION OF LUBRICATION STARVATION IN BALL BEARINGS AND PRELOAD EFFECTS

A. Parlos, B. Rasmussen, J. Mijares, 2017 .

A self-learning rule base for command following in dynamical systems

W. K. Tsai, Hon-Mun Lee, Alexander Parlos, 1992 .

A method for dynamic simulation of air-gap eccentricity in induction machines

Hamid A. Toliyat, Alexander G. Parlos, M. S. Arefeen, 1996 .

Study of three phase induction motors with incipient rotor cage faults under different supply conditions

Hamid A. Toliyat, Alexander G. Parlos, S. Nandi, 1999, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370).

Performance analysis of a three phase induction motor under mixed eccentricity condition

Hamid A. Toliyat, Alexander G. Parlos, S. Nandi, 1998, 1998 International Conference on Power Electronic Drives and Energy Systems for Industrial Growth, 1998. Proceedings..

Flow control of real-time unicast multimedia applications in best-effort networks

Alexander G. Parlos, Aninda Bhattacharya, A. Parlos, 2007 .

Identification of unknown parameter value for precise flow control of Coupled Tank using Robust Unscented Kalman filter

A. Atiya, A. Parlos, K. Chong, 2017 .

Nonlinear multivariable control of nuclear power plants based on the unknown-but-bounded disturbance model

A. G. Parlos, Allan F. Henry, F. C. Schweppe, 1988 .

Adaptive attitude control and momentum management for large-angle spacecraft maneuvers

Alexander G. Parlos, John W. Sunkel, A. Parlos, 1992 .

A reinforcement learning method based on adaptive simulated annealing

A.G. Parlos, A.F. Atiya, L. Ingber, 2003, 2003 46th Midwest Symposium on Circuits and Systems.

Multi-step-ahead prediction using dynamic recurrent neural networks

Amir F. Atiya, Alexander G. Parlos, Omar T. Rais, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Model Reference Adaptive Control with Selective State Variable Weighting Applied to a Space Nuclear Power System

Alexander G. Parlos, Mohamed S. El-Genk, John D. Metzger, 1991 .

An algorithmic approach to adaptive state filtering using recurrent neural networks

Amir F. Atiya, Alexander G. Parlos, Sunil K. Menon, 2001, IEEE Trans. Neural Networks.

Predictive Path Switching Control for Improving the Quality of Service in Real-Time Applications

Dan Ye, A.G. Parlos, A. Parlos, 2007, IEEE Journal of Selected Topics in Signal Processing.

Induction motor fault diagnosis based on neuropredictors and wavelet signal processing

Alexander G. Parlos, Kyusung Kim, A. Parlos, 2002 .

Time-discretization of nonlinear systems with delayed multi-input using Taylor series

Alexander G. Parlos, Nikolaos Kazantzis, Kil To Chong, 2004 .

Discretization of nonlinear input-driven dynamical systems using the Adomian Decomposition Method

Alexander G. Parlos, Yuanliang Zhang, Nikolaos Kazantzis, 2012 .

Control-relevant discretization of nonlinear systems with time-delay using Taylor-Lie series

Alexander G. Parlos, Junyoung Park, Nikolaos Kazantzis, 2003, Proceedings of the 2003 American Control Conference, 2003..

Neural network architectures for enhanced diagnostics and control of nuclear power plant components. Annual report, June 1, 1990--May 31, 1991

Alexander G. Parlos, Wei K. Tsai, Benito R. Fernandez, 1991 .

System design optimization for multimegawatt space nuclear power applications

Alexander G. Parlos, Mohamed S. El-Genk, David Buden, 1990 .

Neural speed filtering for sensorless induction motor drives

Hamid A. Toliyat, Alexander G. Parlos, R. M. Bharadwaj, 2004 .

Sensorless Detection of Cavitation in Centrifugal Pumps

Alexander G. Parlos, Parasuram P. Harihara, P. P. Harihara, 2006 .

Bounding the states of systems with unknown-but-bounded disturbances

George C. Verghese, Alexander G. Parlos, W. K. Tsai, 1990 .

Sensorless Detection and Isolation of Faults in Motor-Pump Systems

Alexander G. Parlos, Parasuram P. Harihara, P. P. Harihara, 2008 .

Identification of the Internet end-to-end delay dynamics using multi-step neuro-predictors

Alexander G. Parlos, A. Parlos, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Application of the recurrent multilayer perceptron in modeling complex process dynamics

Amir F. Atiya, Kil To Chong, Alexander G. Parlos, 1994, IEEE Trans. Neural Networks.

Feasibility Study of a Contained Pulsed Nuclear Propulsion Engine

Alexander G. Parlos, John D. Metzger, A. Parlos, 1994 .

Time domain synthesis of robust controllers for space nuclear power systems

A. G. Parlos, Weii K. Tsai, A. Parlos, 1990 .

Time discretization of the point kinetic equations using matrix exponential method and First-Order Hold

Alexander G. Parlos, Yujin Park, Nikolaos Kazantzis, 2013 .