Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bernt M. Åkesson"'
Publikováno v:
Journal of Process Control. 18:769-779
This paper discusses a method for estimating noise covariances from process data. In linear stochastic state-space representations the true noise covariances are generally unknown in practical applications. Using estimated covariances a Kalman filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db453cfaebb8cb5cbedb21e9509d0fec
https://doi.org/10.1016/j.jprocont.2007.11.003
https://doi.org/10.1016/j.jprocont.2007.11.003
Publikováno v:
International Journal of Control. 80:1454-1470
A support vector regression approach is presented for the identification of state-dependent parameter ARX models, whose parameters are described as functions of past inputs and outputs. The problem of identifying the state-dependent parameters reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f5508674e2019742fbc462e8bf3f74
https://doi.org/10.1080/00207170701378673
https://doi.org/10.1080/00207170701378673
Autor:
Hannu T. Toivonen, Bernt M. Åkesson
Publikováno v:
Journal of Process Control. 16:937-946
A neural network controller is applied to the optimal model predictive control of constrained nonlinear systems. The control law is represented by a neural network function approximator, which is trained to minimize a control-relevant cost function.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0ace069436bc0a75046a20bb0eae9e1
https://doi.org/10.1016/j.jprocont.2006.06.001
https://doi.org/10.1016/j.jprocont.2006.06.001
State-dependent parameter modelling and identification of stochastic non-linear sampled-data systems
Autor:
Hannu T. Toivonen, Bernt M. Åkesson
Publikováno v:
Journal of Process Control. 16:877-886
State-dependent parameter representations of stochastic non-linear sampled-data systems are studied. Velocity-based linearization is used to construct state-dependent parameter models which have a nominally linear structure but whose parameters can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ce555c7dd12b29908e3525d4f44c07d
https://doi.org/10.1016/j.jprocont.2006.02.002
https://doi.org/10.1016/j.jprocont.2006.02.002
Publikováno v:
IFAC Proceedings Volumes. 39:149-154
The objective of this work is to study the capabilities of support vector machines for approximating the complex control law arising from model predictive control of a hybrid MIMO-system. By approximating the control law, an explicit formulation can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2317f0238d805699326c61d0ebf1f1d7
https://doi.org/10.3182/20060830-2-sf-4903.00027
https://doi.org/10.3182/20060830-2-sf-4903.00027
Publikováno v:
Computers & Chemical Engineering. 29:323-335
Model predictive control of nonlinear sampled-data systems is studied, with a particular focus on computational efficiency. In order to reduce the computational requirements associated with the solution of the continuous-time nonlinear system equatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9cbe84e76e6a43931eada55a9400ac
https://doi.org/10.1016/j.compchemeng.2004.09.023
https://doi.org/10.1016/j.compchemeng.2004.09.023
Autor:
Bernt M. Åkesson, Hannu T. Toivonen
Publikováno v:
IFAC Proceedings Volumes. 38:41-46
State-dependent parameter representations of nonlinear stochastic sampled-data systems are studied. Velocity-based linearization is used characterize sampled-data systems using nominally linear models whose parameters can be represented as functions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0520868bb6faa5aeef8cb2ef0180be29
https://doi.org/10.3182/20050703-6-cz-1902.00007
https://doi.org/10.3182/20050703-6-cz-1902.00007
Publikováno v:
Industrial & Engineering Chemistry Research. 41:220-229
A highly nonlinear pH control process is used as an example process to compare a number of methods for designing nonlinear, discrete-time controllers. The nonlinear system is approximated as a linear parameter-varying system, which is based on a set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab3e4a8e5af18c4bd398b4e351d1cc61
https://doi.org/10.1021/ie010057+
https://doi.org/10.1021/ie010057+
Autor:
Åkesson, Bernt M., Lappi, Esa, Pettersson, Ville H., Malmi, Eric, Syrjänen, Sampo, Vulli, Marko, Stenius, Kari
Publikováno v:
Journal of Defense Modeling & Simulation; Oct2013, Vol. 10 Issue 4, p425-434, 10p
Autor:
Valentin Plesu, Paul Serban Agachi
The 17th European Symposium on Computed Aided Process Engineering contains papers presented at the 17th European Symposium of Computer Aided Process Engineering (ESCAPE 17) held in Bucharest, Romania, from 27-30 May 2007. The ESCAPE series serves as
