David T. Westwick

  • University of Calgary, Canada

According to our database1, David T. Westwick authored at least 54 papers between 1992 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Applying Polynomial Decoupling Methods to the Polynomial NARX Model.
CoRR, 2022

CR&P: An Efficient Co-operation between Routing and Placement.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Decoupling P-NARX models using filtered CPD.
CoRR, 2021

ILP-Based Global Routing Optimization with Cell Movements.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

Nonlinear Model Predictive Control of Robot Manipulators Using Quasi-LPV Representation.
Proceedings of the 7th International Conference on Control, Mechatronics and Automation, 2019

Identification of Decoupled Polynomial NARX Model Using Simulation Error Minimization.
Proceedings of the 2019 American Control Conference, 2019

Eh?Legalizer: A High Performance Standard-Cell Legalizer Observing Technology Constraints.
ACM Trans. Design Autom. Electr. Syst., 2018

Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment.
Comput. Chem. Eng., 2018

A N4SID-Based Strategy to Estimate the Parameters of Disturbances in Power Systems.
Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

Two-Level Hierarchical Control for Wastewater Treatment Utilizing Neural-Network Predictors and Nonlinear optimization.
Proceedings of the 16th European Control Conference, 2018

A Multiobjective Cooptimization of Buffer and Wire Sizes in High-Performance Clock Trees.
IEEE Trans. Circuits Syst. II Express Briefs, 2017

Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Setpoint control for reacting to wastewater influent in BSM1.
Proceedings of the 11th Asian Control Conference, 2017

Adaptive control and setpoint optimization for the BSM1 model of wastewater treatment.
Proceedings of the 11th Asian Control Conference, 2017

Eh?Placer: A High-Performance Modern Technology-Driven Placer.
ACM Trans. Design Autom. Electr. Syst., 2016

High Performance Global Placement and Legalization Accounting for Fence Regions.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Neural-Adaptive Control of Waste-to-Energy Steam Generators.
IEEE Trans. Control. Syst. Technol., 2014

Variation-Aware Geometric Programming Models for the Clock Network Buffer Sizing Problem.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014

Optimal gate sizing using a self-tuning multi-objective framework.
Integr., 2014

Quasiconvexity analysis of the Hammerstein model.
Autom., 2014

Prediction error identification of Hammerstein models in the presence of ARIMA disturbances.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

Identification of Auto-Regressive Exogenous Hammerstein Models Based on Support Vector Machine Regression.
IEEE Trans. Control. Syst. Technol., 2013

A new a priori net length estimation technique for integrated circuits using radial basis functions.
Comput. Electr. Eng., 2013

Buffer sizing for clock networks using robust geometric programming considering variations in buffer sizes.
Proceedings of the International Symposium on Physical Design, 2013

A self-tuning multi-objective optimization framework for geometric programming with gate sizing applications.
Proceedings of the Great Lakes Symposium on VLSI 2013 (part of ECRC), 2013

Improving Neuron Stimulation Efficency by Altering Electrode Geometry.
Proceedings of the BIODEVICES 2013, 2013

Non-Iterative Identication of IIR Wiener Systems with Non-Invertible Nonlinearities.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

A New Length-Based Algebraic Multigrid Clustering Algorithm.
VLSI Design, 2012

Estimates of Acausal Joint Impedance Models.
IEEE Trans. Biomed. Eng., 2012

On the Relationship Between the Enforced Convergence Criterion and the Asymptotically Optimal Laguerre Pole.
IEEE Trans. Autom. Control., 2012

Initial estimates of the linear subsystems of Wiener-Hammerstein models.
Autom., 2012

Subspace identification of hammerstein systems using B-splines.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Neural-adaptive control of waste-to-energy boilers.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Subspace Methods for Identification of Human Ankle Joint Stiffness.
IEEE Trans. Biomed. Eng., 2011

Closed-Loop Identification: Application to the Estimation of Limb Impedance in a Compliant Environment.
IEEE Trans. Biomed. Eng., 2011

A practical near constant bandwidth amplifier.
Int. J. Circuit Theory Appl., 2010

Frequency domain identification of a parallel-cascade joint stiffness model.
Proceedings of the American Control Conference, 2010

Multiple model MIMO predictive control for variable speed variable pitch wind turbines.
Proceedings of the American Control Conference, 2010

Incorporating term selection into nonlinear block structured system identification.
Proceedings of the American Control Conference, 2010

A convex method for selecting optimal Laguerre filter banks in system modelling and identification.
Proceedings of the American Control Conference, 2010

Tumor Response Estimation in Radar-Based Microwave Breast Cancer Detection.
IEEE Trans. Biomed. Eng., 2008

On a class of pseudo-logarithmic amplifiers suitable for use with digitally switched resistors.
Int. J. Circuit Theory Appl., 2008

Decomposition of a Parallel Cascade Model For Ankle Dynamics Using Subspace Methods.
Proceedings of the American Control Conference, 2007

Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes.
Neural Comput., 2006

Separable Least Squares Identification of Long Memory Block Structured Models: Application to Lung Tissue Viscoelasticity.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Unbiased Identification of Finite Impulse Response Linear Systems Operating in Closed-Loop.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Bootstrap Term Selection Method for the Identification of Time-Varying Nonlinear Systems.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Identification of Time-Varying Hammerstein Systems using a Basis Expansion Approach.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

Identification of IIR Wiener systems with spline nonlinearities that have variable knots.
IEEE Trans. Autom. Control., 2005

Identification of Hammerstein models with cubic spline nonlinearities.
IEEE Trans. Biomed. Eng., 2004

A direct approach to closed-loop identification of Wiener models using subspace-based methods.
Proceedings of the American Control Conference, 2003

Identifying MIMO Wiener systems using subspace model identification methods.
Signal Process., 1996

The use of a bilinear transformation of the shift operator in subspace model identification.
IEEE Trans. Autom. Control., 1995

A new algorithm for the identification of multiple input Wiener systems.
Biol. Cybern., 1992