Identification of Wiener Models Using Optimal Local Linear Models

Simulation Modelling Practice and Theory - Netherlands
doi 10.1016/j.simpat.2008.05.012
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

Identification of Hammerstein–Wiener Models

Automatica
ControlSystems EngineeringElectricalElectronic Engineering
2013English

Maximum Likelihood Identification of Wiener Models

Automatica
ControlSystems EngineeringElectricalElectronic Engineering
2008English

Block-Oriented Identification of Hammerstein/Wiener-Models Using the RLS-algorithm

International Journal of Applied Electromagnetics and Mechanics
Mechanics of MaterialsElectronic EngineeringCondensed Matter PhysicsMechanical EngineeringOpticalElectricalMagnetic MaterialsElectronic
2007English

Identification of Composite Local Linear State-Space Models Using a Projected Gradient Search

International Journal of Control
ControlSystems EngineeringComputer Science Applications
2002English

Optimal Designs for Linear Mixture Models

Statistica Neerlandica
UncertaintyStatisticsProbability
1975English

A Unified Approach for the Identification of Wiener, Hammerstein, and Wiener–Hammerstein Models by Using WH-EA and Multistep Signals

Complexity
MultidisciplinaryComputer Science
2020English

Optimal Segmentation Using Tree Models

Knowledge and Information Systems
Information SystemsHuman-Computer InteractionHardwareArchitectureArtificial IntelligenceSoftware
2007English

Optimal Control of Linear Econometric Models With Intermittent Controls

Economics of Planning
1980English

Linear Local Models for Monocular Reconstruction of Deformable Surfaces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy