M. Waller

发表

On the significance of correlation functions

M. Waller, 2015 .

Application of nonlinear time series analysis to the prediction of silicon content of pig iron

Henrik Saxén, Matias Waller, H. Saxén, 2002 .

Directional considerations when tracking time-variant parameters

H. Saxen, M. Waller, H. Saxén, 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

Indicators of the Internal State of the Blast Furnace Hearth

Henrik Saxén, Matias Waller, Johnny Brännbacka, 2002 .

Rigid wing sailboats: A state of the art survey

Manuel F. Silva, Paulo J. S. G. Ferreira, Pedro Guedes, 2019, Ocean Engineering.

Time-Varying Event-Internal Trends in Predictive ModelingMethods with Applications to Ladlewise Analyses of Hot Metal Silicon Content

Henrik Saxén, Matias Waller, H. Saxén, 2003 .

Data-Based Testing for Nonlinearity in Dynamical Systems: The Use of Surrogate Data

Matias Waller, M. Waller, 2019, IEEE Transactions on Control Systems Technology.

Using Surrogate Data for Nonlinear Identification: A Case Study

Matias Waller, M. Waller, 2012 .

Surrogate Data and Nonlinear Distortion for Nonlinear Model Development—A Preliminary Study

Matias Waller, M. Waller, 2018 .

Searching for New Benchmark Models for Detecting Nonlinearity in Data

Matias Waller, M. Waller, 2014 .

DATA-BASED VALIDATION OF NONLINEAR MODELS

Henrik Saxén, Matias Waller, Mikael Rönn, 2007 .

Educational autopilot - a practical approach

M. Waller, K. Dahl, M. Waller, 2008, 2008 50th International Symposium ELMAR.

Technical Communique: Estimating the degree of time variance in a parametric model

H. Saxén, M. Waller, 2000 .

Time-Varying FIR-Models for Short-Term Prediction of Pig Iron Silicon Content

Henrik Saxén, Matias Waller, H. Saxén, 1998 .