Martin Enqvist

发表

An Easy to Use Engineering Method for Identification of Complex Flight Dynamics From Flight Test Data

Roger Larsson, Martin Enqvist, 2016 .

Difference algebra and system identification

Lennart Ljung, Torkel Glad, Christian Lyzell, 2011, at - Automatisierungstechnik.

A weighting method for approximate nonlinear system identification

Martin Enqvist, M. Enqvist, 2007, 2007 46th IEEE Conference on Decision and Control.

Detection of roof load for automotive safety systems

Fredrik Gustafsson, Martin Enqvist, Maryam Sadeghi Reineh, 2013, 52nd IEEE Conference on Decision and Control.

Nonlinear Structure Analysis Using the Best Linear Approximation

Rik Pintelon, Johan Schoukens, Lieve Lauwers, 2006 .

A Method for Improved Flight Testing of Remotely Piloted Aircraft Using Multisine Inputs

David Lundström, Martin Enqvist, Roger Larsson, 2020, Aerospace.

Approximation of Non-Linear Systems in a Neighborhood of LTI Systems

Lennart Ljung, Martin Enqvist, L. Ljung, 2002 .

Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach

Roland Tóth, Peter S. C. Heuberger, Christian Lyzell, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Direct prediction-error identification of unstable nonlinear systems applied to flight test data

Lennart Ljung, Zoran Sjanic, Martin Enqvist, 2009 .

Real-time Aerodynamic Model Parameter Identification

Roger Larsson, Martin Enqvist, 2009 .

A Nonlinear Block Structure Identification Procedure Using Frequency Response Function Measurements

Rik Pintelon, Johan Schoukens, Lieve Lauwers, 2008, IEEE Transactions on Instrumentation and Measurement.

Identification and prediction in dynamic networks with unobservable nodes

Jonas Linder, Martin Enqvist, M. Enqvist, 2017 .

A closed-loop instrumental variable approach to mass and center of mass estimation using IMU data

Fredrik Gustafsson, Jonas Linder, Martin Enqvist, 2014, 53rd IEEE Conference on Decision and Control.

The CDIO Initiative from an Automatic Control Project Course Perspective

Svante Gunnarsson, Mikael Norrlöf, Martin Enqvist, 2005 .

Identification of systems with unknown inputs using indirect input measurements

Jonas Linder, Martin Enqvist, M. Enqvist, 2017, Int. J. Control.

Separability of scalar random multisine signals

Martin Enqvist, M. Enqvist, 2011, Autom..

Benefits of the Input Minimum Phase Property for Linearization of Nonlinear Systems

Martin Enqvist, 2005 .

Estimating models of inverse systems

Martin Enqvist, Ylva Jung, M. Enqvist, 2013, 52nd IEEE Conference on Decision and Control.

Nonlinear Aerodynamic Modeling of Unstable Aircraft Using Flight Test

Roger Larsson, Martin Enqvist, Rebecka Larsson, 2012 .

Detection ofUnmodeled Nonlinearities UsingCorrelation Methods

Rik Pintelon, Johan Schoukens, Martin Enqvist, 2007 .

Abstractions of linear dynamic networks for input selection in local module identification pdf

Jonas Linder, Paul M. J. Van den Hof, Martin Enqvist, 2019, Autom..

Phase Predistortion of a Class-D Outphasing RF Amplifier in 90 nm CMOS

Atila Alvandpour, Peter Händel, Jonas Fritzin, 2011, IEEE Transactions on Circuits and Systems II: Express Briefs.

A convex relaxation of a dimension reduction problem using the nuclear norm

Martin S. Andersen, Christian Lyzell, Martin Enqvist, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Controllers for amplitude limited model error models

Lennart Ljung, Anders Helmersson, Martin Enqvist, 2005 .

Linear approximations of nonlinear FIR systems for separable input processes

Lennart Ljung, Martin Enqvist, L. Ljung, 2005, Autom..

Gain estimation for Hammerstein systems

Bo Wahlberg, Håkan Hjalmarsson, Martin Enqvist, 2006 .

On Indirect Input Measurements

Jonas Linder, Martin Enqvist, 2015 .

Least-Squares Phase Predistortion of a +30 dBm Class-D Outphasing RF PA in 65 nm CMOS

Atila Alvandpour, Jonas Fritzin, Martin Enqvist, 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

Sequential Aerodynamic Model Parameter Identification

Martin Enqvist, Roger Larsson, 2012 .

Identification Aspects of Ritt's Algorithm for Discrete-Time Systems

Lennart Ljung, Torkel Glad, Christian Lyzell, 2009 .

IMU-based vehicle load estimation under normal driving conditions

Fredrik Gustafsson, Martin Enqvist, Maryam Sadeghi Reineh, 2014, 53rd IEEE Conference on Decision and Control.

Identification of Block-oriented Systems Using the Invariance Property

Martin Enqvist, 2010 .

Combining the Best Linear Approximation and Dimension Reduction to Identify the Linear Blocks of Parallel Wiener Systems

Maarten Schoukens, Christian Lyzell, Martin Enqvist, 2013, ALCOSP.

LTI Approximations of Slightly Nonlinear Systems : Some Intriguing Examples

Lennart Ljung, Martin Enqvist, L. Ljung, 2004 .

Vertical modeling of a quadcopter for mass estimation and diagnosis purposes

Gustaf Hendeby, Jonas Linder, Martin Enqvist, 2017, 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS).

Sliced Inverse Regression for the Identification of Dynamical Systems

Christian Lyzell, Martin Enqvist, 2012 .

IDENTIFICATION OF HAMMERSTEIN SYSTEMS USING SEPARABLE RANDOM MULTISINES

Martin Enqvist, 2006 .

Handling Certain Structure Information in Subspace Identification

Lennart Ljung, Christian Lyzell, Martin Enqvist, 2009 .

Instrumental variables and LSM in continuous-time parameter estimation

Jesica Azucena Escobar, Martin Enqvist, M. Enqvist, 2017 .

On estimation of approximate inverse models of block-oriented systems

Martin Enqvist, Ylva Jung, 2015 .

Inverse Regression for the Wiener Class of Systems

Christian Lyzell, Martin Enqvist, M. Enqvist, 2012 .

On the equivalence of forward and inverse IV estimators with application to quadcopter modeling

Martin Enqvist, Du Ho, M. Enqvist, 2018 .