29 results on '"Westwick, David"'
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2. Neural-Adaptive Switching Control of Task-Space Objectives on Strict-Feedback Robot
3. Applying polynomial decoupling methods to the polynomial NARX model
4. Decoupling Non-Polynomial Functions: A Neural Network Example
5. Decoupling P-NARX models using filtered CPD
6. A generic impedance modeling technique
7. Initialization Approach for Decoupling Polynomial NARX Models Using Tensor Decomposition
8. Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment
9. Using Decoupling Methods to Reduce Polynomial NARX Models
10. Identification of Wiener Models in the Presence of ARIMA Process Noise
11. Blind Acoustic Source Separation Via System Identification for Leak Detection in Pipelines**The work of Arne Dankers is supported by Hifi Engineering and Mitacs Canada
12. Effect of planar microelectrode geometry on neuron stimulation: Finite element modeling and experimental validation of the efficient electrode shape
13. Non-linear Closed-Loop Identification of CSTR in the presence of a Non-stationary Disturbances
14. Identification of Stretch Reflex Dynamics from Closed-Loop Data**Supported by the Natural Sciences and Engineering Research Council of Canada through grant NSERC-RPGIN 238939-2010.
15. Optimal gate sizing using a self-tuning multi-objective framework
16. Quasiconvexity analysis of the Hammerstein model
17. Non-Iterative Identification of IIR Wiener Systems Using Orthogonal Polynomial
18. A new a priori net length estimation technique for integrated circuits using radial basis functions
19. Non-Iterative Identification of IIR Wiener Systems with Non-Invertible Nonlinearities
20. Initial estimates of the linear subsystems of Wiener–Hammerstein models
21. Classification of the Poles and Zeros of the Best Linear Approximations of Wiener-Hammerstein Systems
22. Separable Least Squares Identification of Wiener Box-Jenkins Models
23. Support Vector Machine Identification of Output Error Hammerstein Models
24. Separable identification of nonlinear aggregate power system loads
25. Identification of NARX Hammerstein Models Based on Large Scale Support Vector Machine Regression
26. Identification of NARX Hammerstein Models Based on Support Vector Machines
27. NONLINEAR SYSTEM IDENTIFICATION IN BIOMEDICAL ENGINEERING: TECHNIQUES, APPLICATIONS AND CHALLENGES
28. Identifying MIMO Wiener systems using subspace model identification methods
29. Identifying MIMO Hammerstein systems in the Context of Subspace Model Identification Methods
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