David T. Westwick

发表

Blind Acoustic Source Separation Via System Identification for Leak Detection in Pipelines

Arne Dankers, Ehsan Jalilian, David T. Westwick, 2016 .

Support Vector Machine Identification of a Parallel Cascade Model of Human Ankle Stiffness

Mujahed Al-Dhaifallah, David T. Westwick, Kottakkaran Sooppy Nisar, 2016 .

David T. Westwick, Robert E. Kearney, 2003 .

High performance global placement and legalization accounting for fence regions

David T. Westwick, Andrew A. Kennings, Nima Karimpour Darav, 2015, 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Block Structured Modelling in the Study of the Stretch Reflex

David T. Westwick, 2010 .

Nonlinear modeling and identification of stretch reflex dynamics using support vector machines

David T. Westwick, Mujahed Al Dhaifallah, D. Westwick, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Reducing induction motor identified parameters using a nonlinear Lasso method

David T. Westwick, William Rosehart, Mohammad Rasouli, 2012 .

Books in the IEEE Press Series in Biomedical Engineering

David T. Westwick, Robert E. Kearney, 2003 .

Tumor Response Estimation in Radar-Based Microwave Breast Cancer Detection

David T. Westwick, Elise C. Fear, Douglas J. Kurrant, 2008, IEEE Transactions on Biomedical Engineering.

EXPERIENCES AND PROPOSALS FOR INTERDISCIPLINARY ENGINEERING DESIGN COURSES

David T. Westwick, P. Jazayeri, William Rosehard, 2011 .

Nonlinear identification of the stretch reflex EMG

David T. Westwick, R. E. Kearney, 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

Closed-loop system identification using subspace-based methods

David T. Westwick, Y. Zhao, 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

A New Length-Based Algebraic Multigrid Clustering Algorithm

David T. Westwick, Laleh Behjat, Logan M. Rakai, 2012, VLSI Design.

Variation-Aware Geometric Programming Models for the Clock Network Buffer Sizing Problem

David T. Westwick, Laleh Behjat, Logan M. Rakai, 2014, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

On the Relationship Between the Enforced Convergence Criterion and the Asymptotically Optimal Laguerre Pole

David T. Westwick, Arne G. Dankers, D. Westwick, 2012, IEEE Transactions on Automatic Control.

Multiple model multiple-input multiple-output predictive control for variable speed variable pitch wind energy conversion systems

David T. Westwick, Om P. Malik, M. Soliman, 2011 .

Explicit LeastSquares Methods

David T. Westwick, Robert E. Kearney, 2003 .

Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes

David T. Westwick, Lee E. Miller, Sara A. Solla, 2006, Neural Computation.

Adaptive control and setpoint optimization for the BSM1 model of wastewater treatment

David T. Westwick, Chris J. B. Macnab, Mahsa Sadeghassadi, 2017, 2017 11th Asian Control Conference (ASCC).

Eh?Legalizer

Ismail Bustany, David T. Westwick, Andrew A. Kennings, 2018, ACM Trans. Design Autom. Electr. Syst..

Identification of NARX Hammerstein Models Based on Support Vector Machines

David T. Westwick, Mujahed Al Dhaifallah, 2008 .

Non-linear Closed-Loop Identification of CSTR in the presence of a Non-stationary Disturbances

David T. Westwick, Michael Foley, Ibrahim Aljamaan, 2015 .

An efficient implementation of the PI subspace state-space system identification algorithm

David T. Westwick, Robert E. Kearney, Michel Verhaegen, 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Support Vector Machine Identification of Stretch Reflex Dynamics

David T. Westwick, Mujahed Al Dhaifallah, D. Westwick, 2009 .

Fault Tolerant Control of Variable-Speed Variable-Pitch Wind Turbines: a Subspace Predictive Control Approach

David T. Westwick, Om P. Malik, M. Soliman, 2012 .

Applying Polynomial Decoupling Methods to the Polynomial NARX Model

Johan Schoukens, David T. Westwick, Kiana Karami, 2021, Mechanical Systems and Signal Processing.

Subspace Methods for Identification of Human Ankle Joint Stiffness

Yong Zhao, David T. Westwick, Robert E. Kearney, 2011, IEEE Transactions on Biomedical Engineering.

Identification of Nonlinear Physiological Systems: Westwick/Identification of Nonlinear Physiological Systems

David T. Westwick, Robert E. Kearney, D. Westwick, 2005 .

Identification of Linear Systems

David T. Westwick, Robert E. Kearney, 2003 .

A practical near constant bandwidth amplifier

Stephan J. G. Gift, David T. Westwick, Brent Maundy, 2010 .

A useful pseudo‐logarithmic circuit

Stephan J. G. Gift, David T. Westwick, Brent Maundy, 2007 .

A self-tuning multi-objective optimization framework for geometric programming with gate sizing applications

David T. Westwick, Laleh Behjat, Logan M. Rakai, 2013, GLSVLSI '13.

Identification of NARX Hammerstein Models Based on Large Scale Support Vector Machine Regression

David T. Westwick, Mujahed Al Dhaifallah, 2009 .

Ensuring Fault Ride through for Wind Turbines with Doubly Fed Induction Generator: A Model Predictive Control Approach

David T. Westwick, Om P. Malik, M. Soliman, 2011 .

Setpoint control for reacting to wastewater influent in BSM1

David T. Westwick, Chris J. B. Macnab, Mahsa Sadeghassadi, 2017, 2017 11th Asian Control Conference (ASCC).

A N4SID-Based Strategy to Estimate the Parameters of Disturbances in Power Systems

David T. Westwick, Mohammad Mansouri, Andrew M. Knight, 2018, 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

A new a priori net length estimation technique for integrated circuits using radial basis functions

David T. Westwick, Laleh Behjat, Logan M. Rakai, 2013, Comput. Electr. Eng..

Quasiconvexity analysis of the Hammerstein model

David T. Westwick, Mohammad Rasouli, William D. Rosehart, 2014, Autom..

Neural-Adaptive Control of Waste-to-Energy Steam Generators

David T. Westwick, Igor Boiko, Chris J. B. Macnab, 2014, IEEE Transactions on Control Systems Technology.

Identification of Time-Varying Hammerstein Systems using a Basis Expansion Approach

David T. Westwick, Bashiru I. Ikharia, D. Westwick, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

A generic impedance modeling technique

Ahmed S. Elwakil, Brent Maundy, David T. Westwick, 2020 .

Prediction error identification of Hammerstein models in the presence of ARIMA disturbances

David T. Westwick, Michael Foley, Ibrahim Aljamaan, 2014, 2014 IEEE Conference on Control Applications (CCA).

Identification of Stretch Reflex Dynamics from Closed-Loop Data

David T. Westwick, Kiana Karami, 2015 .

On a class of pseudo-logarithmic amplifiers suitable for use with digitally switched resistors

Brent Maundy, Stephan J. G. Gift, David T. Westwick, 2008, Int. J. Circuit Theory Appl..

Non-Iterative Identication of IIR Wiener Systems with Non-Invertible Nonlinearities

David T. Westwick, Michael Foley, Ibrahim Aljamaan, 2013, ALCOSP.

Sampling Rate Considerations In Nonlinear System Identification

David T. Westwick, Robert E. Kearney, Eric J. Perreault, 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

Variation-aware clock network buffer sizing using robust multi-objective optimization

David T. Westwick, Laleh Behjat, Amin Farshidi, 2016 .

Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels

Johan Schoukens, David T. Westwick, Philippe Dreesen, 2016, LVA/ICA.

Two-Level Hierarchical Control for Wastewater Treatment Utilizing Neural-Network Predictors and Nonlinear optimization

David T. Westwick, Chris J. B. Macnab, Mahsa Sadeghassadi, 2018, 2018 European Control Conference (ECC).

Subspace identification of hammerstein systems using B-splines

David T. Westwick, Robert E. Kearney, Kian Jalaleddini, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Optimal gate sizing using a self-tuning multi-objective framework

David T. Westwick, Laleh Behjat, Logan M. Rakai, 2014, Integr..

Iterative LeastSquares Methods

David T. Westwick, Robert E. Kearney, 2003 .

Closed-Loop Identification: Application to the Estimation of Limb Impedance in a Compliant Environment

David T. Westwick, Eric J. Perreault, 2011, IEEE Transactions on Biomedical Engineering.

Approximate LMS tuning of continuous time filters: convergence and sensitivity analysis

Brent Maundy, David T. Westwick, Roghoyeh Salmeh, 2005 .

Identification of Hammerstein models with cubic spline nonlinearities

David T. Westwick, Erika J. Dempsey, D. Westwick, 2004, IEEE Transactions on Biomedical Engineering.

Buffer sizing for clock networks using robust geometric programming considering variations in buffer sizes

David T. Westwick, Laleh Behjat, Logan M. Rakai, 2013, ISPD '13.

NONLINEAR SYSTEM IDENTIFICATION IN BIOMEDICAL ENGINEERING: TECHNIQUES, APPLICATIONS AND CHALLENGES

David T. Westwick, 2006 .

Identification of nonlinear physiological systems

David T. Westwick, Robert E. Kearney, D. Westwick, 2003 .

Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment

David T. Westwick, Chris J. B. Macnab, Mahsa Sadeghassadi, 2018, Comput. Chem. Eng..

Initial estimates of the linear subsystems of Wiener-Hammerstein models

Johan Schoukens, David T. Westwick, J. Schoukens, 2012, Autom..

Identification of Wiener Models in the Presence of ARIMA Process Noise

David T. Westwick, Michael Foley, Ibrahim Aljamaan, 2016 .

Eh?Placer

David T. Westwick, Andrew A. Kennings, Nima Karimpour Darav, 2016, ACM Trans. Design Autom. Electr. Syst..

A practical near constant bandwidth amplifier

Brent Maundy, Stephan J. G. Gift, David T. Westwick, 2010, Int. J. Circuit Theory Appl..

Estimates of Acausal Joint Impedance Models

David T. Westwick, Eric J. Perreault, 2012, IEEE Transactions on Biomedical Engineering.

Neural-adaptive control of waste-to-energy boilers

David T. Westwick, Igor Boiko, Chris J. B. Macnab, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Support Vector Machine Identification of Output Error Hammerstein Models

David T. Westwick, Mujahed Al Dhaifallah, 2011 .

Identification of Heffron-Phillips model parameters for synchronous generators operating in closed loop

David T. Westwick, Om P. Malik, M. Soliman, 2008 .

Identification of IIR Wiener systems with spline nonlinearities that have variable knots

David T. Westwick, Matt C. Hughes, D. Westwick, 2005, IEEE Transactions on Automatic Control.

Identifying MIMO Wiener systems using subspace model identification methods

Michel Verhaegen, David T. Westwick, 1996, Signal Process..

Identification of Auto-Regressive Exogenous Hammerstein Models Based on Support Vector Machine Regression

David T. Westwick, Mujahed Aldhaifallah, D. Westwick, 2013, IEEE Transactions on Control Systems Technology.

On a class of pseudo-logarithmic amplifiers suitable for use with digitally switched resistors: Research Articles

Brent Maundy, Stephan J. G. Gift, David T. Westwick, 2008 .

Decoupling Non-Polynomial Functions: A Neural Network Example

Johan Schoukens, David T. Westwick, Jan Decuyper, 2021, IFAC-PapersOnLine.

Hammerstein Box-Jenkins System Identification of the Cascaded Tanks Benchmark System

David T. Westwick, Ibrahim A. Aljamaan, Mujahed M. Al-Dhaifallah, 2021 .

ILP-Based Global Routing Optimization with Cell Movements

David T. Westwick, José Luís Almada Güntzel, Laleh Behjat, 2021, 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

A direct approach to closed-loop identification of Wiener models using subspace-based methods

David T. Westwick, Yong Zhao, 2003, Proceedings of the 2003 American Control Conference, 2003..

Sensitivity Analysis of Kernel Estimates: Implications in Nonlinear Physiological System Identification

David T. Westwick, Kenneth R. Lutchen, Béla Suki, 1998, Annals of Biomedical Engineering.

Separable least squares identification of a parallel cascade model of human ankle stiffness [stretch reflex EMG]

David T. Westwick, R. E. Kearney, D. Westwick, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The use of a bilinear transformation of the shift operator in subspace model identification

David T. Westwick, Robert E. Kearney, Michel Verhaegen, 1995, IEEE Trans. Autom. Control..

Separable identification of nonlinear aggregate power system loads

David T. Westwick, William Rosehart, José A. Aguado, 2009 .

Generalized eigenvector algorithm for nonlinear system identification with non-white inputs

David T. Westwick, Robert E. Kearney, D. Westwick, 1997, Annals of Biomedical Engineering.

Subspace identification method for ankle mechanics

David T. Westwick, Robert E. Kearney, Michel Verhaegen, 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

Non-Iterative Identification of IIR Wiener Systems Using Orthogonal Polynomial

David T. Westwick, Ibrahim Aljamaan, Ibrahim A. Aljamaan, 2014 .

Fast, Robust Identification of Nonlinear Physiological Systems Using an Implicit Basis Expansion

David T. Westwick, Kenneth R. Lutchen, 2004, Annals of Biomedical Engineering.

Identification of Multiple-Input Nonlinear Systems Using Non-White Test Signals

David T. Westwick, Robert E. Kearney, D. Westwick, 1994 .

A statistical method for selecting block structures based on estimated Volterra kernels

David T. Westwick, J. M. Sill, E. J. Dempsey, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Factors Affecting Volterra Kernel Estimation: Emphasis on Lung Tissue Viscoelasticity

David T. Westwick, Kenneth R. Lutchen, Béla Suki, 2004, Annals of Biomedical Engineering.

Identifying MIMO Hammerstein systems in the context of subspace model identification methods

David T. Westwick, Michel Verhaegen, M. Verhaegen, 1996 .

Classification of the Poles and Zeros of the Best Linear Approximations of Wiener-Hammerstein Systems*

Johan Schoukens, David T. Westwick, J. Schoukens, 2012 .