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David T. Westwick
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- affiliation: University of Calgary, Canada
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2020 – today
- 2024
- [j27]Mohammad Mansouri, David T. Westwick, Andrew Michael Knight:
The On-Line Estimation of Multi-Mode Electromechanical Oscillations Using the Cascade Structure of Damped-SOGI. IEEE Access 12: 88022-88033 (2024) - [c31]S. Doctolero, David T. Westwick:
Fractional-Order Integral Neural-Adaptive Update and Feedback Laws. ACC 2024: 2338-2343 - [c30]Samuel Doctolero, David T. Westwick:
Fractional-Order Integral Neural-Adaptive Control of Nonlinear Input-Affine Systems. ACC 2024: 4359-4364 - 2023
- [j26]Erfan Aghaeekiasaraee, Aysa Fakheri Tabrizi, Tiago Augusto Fontana, Renan Netto, Sheiny Fabre Almeida, Upma Gandhi, José Luís Güntzel, David T. Westwick, Laleh Behjat:
CRP2.0: A Fast and Robust Cooperation between Routing and Placement in Advanced Technology Nodes. ACM Trans. Design Autom. Electr. Syst. 28(5): 79:1-79:42 (2023) - 2022
- [c29]Erfan Aghaeekiasaraee, Aysa Fakheri Tabrizi, Tiago Augusto Fontana, Renan Netto, Sheiny Fabre Almeida, Upma Gandhi, José Luís Gützel, David T. Westwick, Laleh Behjat:
CR&P: An Efficient Co-operation between Routing and Placement. DATE 2022: 772-777 - [i3]Kiana Karami, David T. Westwick, Johan Schoukens:
Applying Polynomial Decoupling Methods to the Polynomial NARX Model. CoRR abs/2202.12423 (2022) - 2021
- [c28]Tiago Augusto Fontana, Erfan Aghaeekiasaraee, Renan Netto, Sheiny Fabre Almeida, Upma Gandhi, Aysa Fakheri Tabrizi, David T. Westwick, Laleh Behjat, José Luís Güntzel:
ILP-Based Global Routing Optimization with Cell Movements. ISVLSI 2021: 25-30 - [i2]Jan Decuyper, David T. Westwick, Kiana Karami, Johan Schoukens:
Decoupling P-NARX models using filtered CPD. CoRR abs/2105.08530 (2021)
2010 – 2019
- 2019
- [c27]Kiana Karami, David T. Westwick, Johan Schoukens:
Identification of Decoupled Polynomial NARX Model Using Simulation Error Minimization. ACC 2019: 4362-4367 - [c26]Mojtaba Esfandiari, Sonny Chan, Garnette R. Sutherland, David T. Westwick:
Nonlinear Model Predictive Control of Robot Manipulators Using Quasi-LPV Representation. ICCMA 2019: 116-120 - 2018
- [j25]Mahsa Sadeghassadi, Chris J. B. Macnab, R. Bhushan Gopaluni, David T. Westwick:
Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment. Comput. Chem. Eng. 115: 150-160 (2018) - [j24]Nima Karimpour Darav, Ismail S. Bustany, Andrew A. Kennings, David T. Westwick, Laleh Behjat:
Eh?Legalizer: A High Performance Standard-Cell Legalizer Observing Technology Constraints. ACM Trans. Design Autom. Electr. Syst. 23(4): 43:1-43:25 (2018) - [c25]Mahsa Sadeghassadi, Chris J. B. Macnab, David T. Westwick:
Two-Level Hierarchical Control for Wastewater Treatment Utilizing Neural-Network Predictors and Nonlinear optimization. ECC 2018: 2435-2440 - [c24]Mohammad Mansouri, David T. Westwick, Andrew Michael Knight:
A N4SID-Based Strategy to Estimate the Parameters of Disturbances in Power Systems. ISGT Europe 2018: 1-6 - 2017
- [j23]Amin Farshidi, Laleh Behjat, Logan M. Rakai, David T. Westwick:
A Multiobjective Cooptimization of Buffer and Wire Sizes in High-Performance Clock Trees. IEEE Trans. Circuits Syst. II Express Briefs 64-II(4): 412-416 (2017) - [c23]Mahsa Sadeghassadi, David T. Westwick, Chris J. B. Macnab:
Setpoint control for reacting to wastewater influent in BSM1. ASCC 2017: 2796-2801 - [c22]Mahsa Sadeghassadi, Chris J. B. Macnab, David T. Westwick:
Adaptive control and setpoint optimization for the BSM1 model of wastewater treatment. ASCC 2017: 2802-2807 - [c21]Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva:
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. LVA/ICA 2017: 16-25 - 2016
- [j22]Nima Karimpour Darav, Andrew A. Kennings, Aysa Fakheri Tabrizi, David T. Westwick, Laleh Behjat:
Eh?Placer: A High-Performance Modern Technology-Driven Placer. ACM Trans. Design Autom. Electr. Syst. 21(3): 37:1-37:27 (2016) - [i1]Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva:
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. CoRR abs/1609.08063 (2016) - 2015
- [c20]Nima Karimpour Darav, Andrew A. Kennings, David T. Westwick, Laleh Behjat:
High Performance Global Placement and Legalization Accounting for Fence Regions. ICCAD 2015: 514-519 - 2014
- [j21]Mohammad Rasouli, David T. Westwick, William D. Rosehart:
Quasiconvexity analysis of the Hammerstein model. Autom. 50(1): 277-281 (2014) - [j20]Amin Farshidi, Logan M. Rakai, Laleh Behjat, David T. Westwick:
Optimal gate sizing using a self-tuning multi-objective framework. Integr. 47(3): 347-355 (2014) - [j19]Logan M. Rakai, Amin Farshidi, David T. Westwick, Laleh Behjat:
Variation-Aware Geometric Programming Models for the Clock Network Buffer Sizing Problem. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(4): 532-545 (2014) - [j18]Sanaz Mahmoodi Takaghaj, Chris J. B. Macnab, David T. Westwick, Igor Boiko:
Neural-Adaptive Control of Waste-to-Energy Steam Generators. IEEE Trans. Control. Syst. Technol. 22(5): 1920-1926 (2014) - [c19]Ibrahim Aljamaan, David T. Westwick, Michael Foley:
Prediction error identification of Hammerstein models in the presence of ARIMA disturbances. CCA 2014: 403-408 - 2013
- [j17]Amin Farshidi, Logan M. Rakai, Bardia Samimi, Laleh Behjat, David T. Westwick:
A new a priori net length estimation technique for integrated circuits using radial basis functions. Comput. Electr. Eng. 39(4): 1204-1218 (2013) - [j16]Mujahed Aldhaifallah, David T. Westwick:
Identification of Auto-Regressive Exogenous Hammerstein Models Based on Support Vector Machine Regression. IEEE Trans. Control. Syst. Technol. 21(6): 2083-2090 (2013) - [c18]Ibrahim Aljamaan, David T. Westwick, Michael Foley:
Non-Iterative Identication of IIR Wiener Systems with Non-Invertible Nonlinearities. ALCOSP 2013: 390-395 - [c17]Atefeh Ghazavi, David T. Westwick, C. Luk, Naweed I. Syed, Colin Dalton:
Improving Neuron Stimulation Efficency by Altering Electrode Geometry. BIODEVICES 2013: 51-56 - [c16]Amin Farshidi, Logan M. Rakai, Laleh Behjat, David T. Westwick:
A self-tuning multi-objective optimization framework for geometric programming with gate sizing applications. ACM Great Lakes Symposium on VLSI 2013: 305-310 - [c15]Logan M. Rakai, Amin Farshidi, Laleh Behjat, David T. Westwick:
Buffer sizing for clock networks using robust geometric programming considering variations in buffer sizes. ISPD 2013: 154-161 - 2012
- [j15]David T. Westwick, Johan Schoukens:
Initial estimates of the linear subsystems of Wiener-Hammerstein models. Autom. 48(11): 2931-2936 (2012) - [j14]Arne G. Dankers, David T. Westwick:
On the Relationship Between the Enforced Convergence Criterion and the Asymptotically Optimal Laguerre Pole. IEEE Trans. Autom. Control. 57(5): 1102-1109 (2012) - [j13]David T. Westwick, Eric J. Perreault:
Estimates of Acausal Joint Impedance Models. IEEE Trans. Biomed. Eng. 59(10): 2913-2921 (2012) - [j12]Logan M. Rakai, Amin Farshidi, Laleh Behjat, David T. Westwick:
A New Length-Based Algebraic Multigrid Clustering Algorithm. VLSI Design 2012: 395260:1-395260:14 (2012) - [c14]Sanaz Mahmoodi Takaghaj, C. J. B. Macnab, David T. Westwick, Igor Boiko:
Neural-adaptive control of waste-to-energy boilers. CDC 2012: 5367-5373 - [c13]Kian Jalaleddini, David T. Westwick, Robert E. Kearney:
Subspace identification of hammerstein systems using B-splines. EMBC 2012: 3316-3319 - 2011
- [j11]David T. Westwick, Eric J. Perreault:
Closed-Loop Identification: Application to the Estimation of Limb Impedance in a Compliant Environment. IEEE Trans. Biomed. Eng. 58(3): 521-530 (2011) - [j10]Yong Zhao, David T. Westwick, Robert E. Kearney:
Subspace Methods for Identification of Human Ankle Joint Stiffness. IEEE Trans. Biomed. Eng. 58(11): 3039-3048 (2011) - 2010
- [j9]Brent Maundy, Stephan J. G. Gift, David T. Westwick:
A practical near constant bandwidth amplifier. Int. J. Circuit Theory Appl. 38(6): 577-590 (2010) - [c12]Arne G. Dankers, David T. Westwick:
A convex method for selecting optimal Laguerre filter banks in system modelling and identification. ACC 2010: 2694-2699 - [c11]Mostafa Soliman, Om P. Malik, David T. Westwick:
Multiple model MIMO predictive control for variable speed variable pitch wind turbines. ACC 2010: 2778-2784 - [c10]Mohammad Rasouli, David T. Westwick, William D. Rosehart:
Incorporating term selection into nonlinear block structured system identification. ACC 2010: 3710-3715 - [c9]Akshya K. Swain, David T. Westwick, Eric J. Perreault:
Frequency domain identification of a parallel-cascade joint stiffness model. ACC 2010: 4367-4372
2000 – 2009
- 2008
- [j8]Brent Maundy, David T. Westwick, Stephan J. G. Gift:
On a class of pseudo-logarithmic amplifiers suitable for use with digitally switched resistors. Int. J. Circuit Theory Appl. 36(1): 81-108 (2008) - [j7]Douglas J. Kurrant, Elise C. Fear, David T. Westwick:
Tumor Response Estimation in Radar-Based Microwave Breast Cancer Detection. IEEE Trans. Biomed. Eng. 55(12): 2801-2811 (2008) - 2007
- [c8]Yong Zhao, David T. Westwick, Robert E. Kearney:
Decomposition of a Parallel Cascade Model For Ankle Dynamics Using Subspace Methods. ACC 2007: 2944-2948 - 2006
- [j6]David T. Westwick, Eric A. Pohlmeyer, Sara A. Solla, Lee E. Miller, Eric J. Perreault:
Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes. Neural Comput. 18(2): 329-355 (2006) - [c7]Arne G. Dankers, David T. Westwick:
Nonlinear system identification using optimally selected Laguerre filter banks. ACC 2006: 1-6 - [c6]Bashiru I. Ikharia, David T. Westwick:
Identification of Time-Varying Hammerstein Systems using a Basis Expansion Approach. CCECE 2006: 1858-1861 - [c5]David T. Westwick, Eric J. Perreault:
Unbiased Identification of Finite Impulse Response Linear Systems Operating in Closed-Loop. EMBC 2006: 2118-2121 - [c4]David T. Westwick, Béla Suki:
Separable Least Squares Identification of Long Memory Block Structured Models: Application to Lung Tissue Viscoelasticity. EMBC 2006: 2130-2133 - [c3]Bashiru I. Ikharia, David T. Westwick:
A Bootstrap Term Selection Method for the Identification of Time-Varying Nonlinear Systems. EMBC 2006: 3712-3715 - 2005
- [j5]Matt C. Hughes, David T. Westwick:
Identification of IIR Wiener systems with spline nonlinearities that have variable knots. IEEE Trans. Autom. Control. 50(10): 1617-1622 (2005) - 2004
- [j4]Erika J. Dempsey, David T. Westwick:
Identification of Hammerstein models with cubic spline nonlinearities. IEEE Trans. Biomed. Eng. 51(2): 237-245 (2004) - [c2]Yong Zhao, David T. Westwick:
A direct approach to identify closed loop Wiener systems, whose linear dynamics are open-loop unstable. ACC 2004: 4782-4787 - 2003
- [c1]Yong Zhao, David T. Westwick:
A direct approach to closed-loop identification of Wiener models using subspace-based methods. ACC 2003: 3585-3589
1990 – 1999
- 1996
- [j3]David T. Westwick, Michel Verhaegen:
Identifying MIMO Wiener systems using subspace model identification methods. Signal Process. 52(2): 235-258 (1996) - 1995
- [j2]Michel Verhaegen, David T. Westwick, Robert E. Kearney:
The use of a bilinear transformation of the shift operator in subspace model identification. IEEE Trans. Autom. Control. 40(8): 1422-1428 (1995) - 1992
- [j1]David T. Westwick, Robert E. Kearney:
A new algorithm for the identification of multiple input Wiener systems. Biol. Cybern. 68(1): 75-85 (1992)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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