Martin Enqvist: Publications

A complete list of publications can be downloaded here. Furthermore, all publications can be found in the publication database of the Division of Automatic Control, as well as in the publication database of Linköping University. An automatically generated list of publications from the latter database is available here.

Papers in refereed scientific journals

[J9]:

J. Linder and M. Enqvist. Identification of systems with unknown inputs using indirect input measurements. International Journal of Control, 90(4):729-745, 2017.

[J8]:

J. Escobar and M. Enqvist. Instrumental variables and LSM in continuous-time parameter estimation. ESAIM: Control, Optimisation and Calculus of Variations, 23(2):427-442, 2017.

[J7]:

Y. Jung, J. Fritzin, M. Enqvist, and A. Alvandpour. Least-squares phase predistortion of a +30 dBm class-D outphasing RF PA in 65 nm CMOS. IEEE Transactions on Circuits and Systems-Part I: Regular Papers, 60(7):1915-1928, 2013.

[J6]:

J. Fritzin, Y. Jung, P. N. Landin, P. Händel, M. Enqvist, and A. Alvandpour. Phase predistortion of a class-D outphasing RF amplifier in 90nm CMOS. IEEE Transactions on Circuits and Systems - Part II: Express Briefs, 58(10):642-646, 2011.

[J5]:

C. Lyzell, T. Glad, M. Enqvist, and L. Ljung. Difference algebra and system identification. Automatica, 47(9):1896-1904, 2011.

[J4]:

M. Enqvist. Separability of scalar random multisine signals. Automatica, 47(9):1860-1867, 2011.

[J3]:

L. Lauwers, J. Schoukens, R. Pintelon, and M. Enqvist. A nonlinear block structure identification procedure using frequency response function measurements. IEEE Transactions on Instrumentation and Measurement, 57(10):2257-2264, 2008.

[J2]:

J. Schoukens, R. Pintelon, and M. Enqvist. Study of the LTI relations between the outputs of two coupled Wiener systems and its application to the generation of initial estimates for Wiener-Hammerstein systems. Automatica, 44(7):1654-1665, 2008.

[J1]:

M. Enqvist and L. Ljung. Linear approximations of nonlinear FIR systems for separable input processes. Automatica, 41(3):459-473, 2005.

Book chapters

[BC1]:

M. Enqvist. Identification of block-oriented systems using the invariance property. In F. Giri and E.-W. Bai, editors, Block-oriented Nonlinear System Identification, pages 147-158. Springer, Berlin Heidelberg, 2010.

Papers at refereed scientific conferences

[C34]:

D. Ho and M. Enqvist. On the equivalence of forward and inverse IV estimators with application to quadcopter modeling. In Proceedings of the 18th IFAC Symposium on System Identification, pages 951-956, Stockholm, Sweden, July 2018.

[C33]:

D. Ho, J. Linder, G. Hendeby, M. Enqvist. Vertical modeling of a quadcopter for mass estimation and diagnosis purposes. In Proceedings of the Workshop on Research, Education and Development on Unmanned Aerial Systems (RED-UAS), Linköping, Sweden, October 2017.

[C32]:

J. Linder and M. Enqvist. Identification and prediction in dynamic networks with unobservable nodes. In Proceedings of the 20th IFAC World Congress, Toulouse, France, July 2017.

[C31]:

D. Ho, J. Linder, G. Hendeby, and M. Enqvist. Mass estimation of a quadcopter using IMU data. In Proceedings of the 2017 International Conference on Unmanned Aircraft Systems (ICUAS), pages 1260-1266, Miami, Florida, June 2017.

[C30]:

Y. Jung and M. Enqvist. On estimation of approximate inverse models of block-oriented systems. In Proceedings of the 17th IFAC Symposium on System Identification, pages 1226-1231, Beijing, China, October 2015.

[C29]:

J. Linder and M. Enqvist. On indirect input measurements. In Proceedings of the 17th IFAC Symposium on System Identification, pages 104-109, Beijing, China, October 2015.

[C28]:

J. Linder, M. Enqvist, T. I. Fossen, T. A. Johansen, and F. Gustafsson. Online estimation of ship's mass and center of mass using inertial measurements. In Proceedings of the 10th IFAC Conference on Manoeuvring and Control of Marine Craft, Copenhagen, Denmark, August 2015.

[C27]:

J. Linder, M. Enqvist, T. I. Fossen, T. A. Johansen, and F. Gustafsson. Modeling for IMU-based online estimation of a ship's mass and center of mass. In Proceedings of the 10th IFAC Conference on Manoeuvring and Control of Marine Craft, Copenhagen, Denmark, August 2015.

[C26]:

J. Linder, M. Enqvist, and F. Gustafsson. A closed-Loop instrumental variable approach to mass and center of mass estimation using IMU data. In Proceedings of the 53rd IEEE Conference on Decision and Control, pages 283-289, Los Angeles, California, December 2014.

[C25]:

M. Sadeghi Reineh, M. Enqvist, and F. Gustafsson. IMU-based vehicle load estimation under normal driving conditions. In Proceedings of the 53rd IEEE Conference on Decision and Control, pages 3376-3381, Los Angeles, California, December 2014.

[C24]:

J. Linder, M. Enqvist, F. Gustafsson, and J. Sjöberg. Identifiability of physical parameters in systems with limited sensors. In Proceedings of the 19th IFAC World Congress, pages 6454-6459, Cape Town, South Africa, August 2014.

[C23]:

Y. Jung and M. Enqvist. Estimating models of inverse systems. In Proceedings of the 52nd IEEE Conference on Decision and Control, pages 7143-7148, Florence, Italy, December 2013.

[C22]:

M. Sadeghi Reineh, M. Enqvist, and F. Gustafsson. Detection of roof load for automotive safety systems. In Proceedings of the 52nd IEEE Conference on Decision and Control, pages 2840-2845, Florence, Italy, December 2013.

[C21]:

M. Schoukens, C. Lyzell, and M. Enqvist. Combining the best linear approximation and dimension reduction to identify the linear blocks of parallel Wiener systems. In Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, pages 372-377, Caen, France, July 2013.

[C20]:

C. Lyzell, M. Andersen, and M. Enqvist. A convex relaxation of a dimension reduction problem using the nuclear norm. In Proceedings of the 51st IEEE Conference on Decision and Control, pages 2852-2857, Maui, Hawaii, December 2012.

[C19]:

C. Lyzell and M. Enqvist. Inverse regression for the Wiener class of systems. In Proceedings of the 16th IFAC Symposium on System Identification, pages 476-481, Brussels, Belgium, July 2012.

[C18]:

C. Lyzell and M. Enqvist. Sliced inverse regression for the identification of dynamical systems. In Proceedings of the 16th IFAC Symposium on System Identification, pages 1575-1580, Brussels, Belgium, July 2012.

[C17]:

J. Escobar and M. Enqvist. On the detection of nonlinearities in sampled data. In Proceedings of the 16th IFAC Symposium on System Identification, pages 1587-1592, Brussels, Belgium, July 2012.

[C16]:

R. Larsson and M. Enqvist. Sequential aerodynamic model parameter identification. In Proceedings of the 16th IFAC Symposium on System Identification, pages 1413-1418, Brussels, Belgium, July 2012.

[C15]:

R. Tóth, C. Lyzell, M. Enqvist, P. S. C. Heuberger, and P. M. J. Van den Hof. Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach. In Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, pages 7406-7411, Shanghai, China, December 2009.

[C14]:

M. Enqvist. Nonlinearity detection and impulse response estimation using a weighting approach. In Proceedings of the 15th IFAC Symposium on System Identification, pages 628-633, Saint-Malo, France, July 2009.

[C13]:

C. Lyzell, T. Glad, M. Enqvist, and L. Ljung. Identification aspects of Ritt's algorithm for discrete-time systems. In Proceedings of the 15th IFAC Symposium on System Identification, pages 681-686, Saint-Malo, France, July 2009.

[C12]:

C. Lyzell, M. Enqvist, and L. Ljung. Handling certain structure information in subspace identification. In Proceedings of the 15th IFAC Symposium on System Identification, pages 90-95, Saint-Malo, France, July 2009.

[C11]:

R. Larsson, Z. Sjanic, M. Enqvist, and L. Ljung. Direct prediction-error identification of unstable nonlinear systems applied to flight test data. In Proceedings of the 15th IFAC Symposium on System Identification, pages 144-149, Saint-Malo, France, July 2009.

[C10]:

M. Enqvist. A weighting method for approximate nonlinear system identification. In Proceedings of the 46th IEEE Conference on Decision and Control, pages 5104-5109, New Orleans, Louisiana, December 2007.

[C9]:

M. Enqvist, J. Schoukens, and R. Pintelon. Detection of unmodeled nonlinearities using correlation methods. In IEEE Instrumentation and Measurement Technology Conference Proceedings, Warsaw, Poland, May 2007.

[C8]:

M. Barenthin, M. Enqvist, B. Wahlberg, and H. Hjalmarsson. Gain estimation for Hammerstein systems. In Proceedings of the 14th IFAC Symposium on System Identification, pages 784-789, Newcastle, Australia, March 2006.

[C7]:

M. Enqvist. Identification of Hammerstein systems using separable random multisines. In Proceedings of the 14th IFAC Symposium on System Identification, pages 768-773, Newcastle, Australia, March 2006.

[C6]:

J. Roll, M. Enqvist, and L. Ljung. Consistent nonparametric estimation of NARX systems using convex optimization. In Proceedings of the 44th IEEE Conference on Decision and Control and the European Control Conference, pages 3129-3134, Seville, Spain, December 2005.

[C5]:

M. Enqvist, S. Gunnarsson, M. Norrlöf, E. Wernholt, and A. Hansson. The CDIO initiative from an automatic control project course perspective. In Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, July 2005.

[C4]:

S. T. Glad, A. Helmersson, M. Enqvist, and L. Ljung. Controllers for amplitude limited model error models. In Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, July 2005.

[C3]:

M. Enqvist and L. Ljung. LTI approximations of slightly nonlinear systems: Some intriguing examples. In Proceedings of the 6th IFAC Symposium on Nonlinear Control Systems, pages 639-644, Stuttgart, Germany, September 2004.

[C2]:

M. Enqvist and L. Ljung. Linear models of nonlinear FIR systems with Gaussian inputs. In Proceedings of the 13th IFAC Symposium on System Identification, pages 1910-1915, Rotterdam, The Netherlands, August 2003.

[C1]:

M. Enqvist and L. Ljung. Estimating nonlinear systems in a neighborhood of LTI-approximants. In Proceedings of the 41st IEEE Conference on Decision and Control, pages 1005-1010, Las Vegas, Nevada, December 2002.

Theses

[T3]:

M. Enqvist. Linear Models of Nonlinear Systems. PhD thesis, Linköping University, Linköping, Sweden, 2005.

[T2]:

M. Enqvist. Some results on linear models of nonlinear systems. Licentiate's thesis no. 1046, Department of Electrical Engineering, Linköping University, Linköping, Sweden, 2003.

[T1]:

M. Enqvist. Aspects of high precision estimation of vehicle dynamics. Master's thesis LiTH-ISY-EX-3116, Department of Electrical Engineering, Linköping University, Linköping, Sweden, 2000.