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CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
14 years 1 months ago
An error bound for model reduction of Lur'e-type systems
— In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper,...
Bart Besselink, Nathan van de Wouw, Henk Nijmeijer
CCE
2004
13 years 8 months ago
Multimodel analysis and controller design for nonlinear processes
Multimodel analysis and controller design for nonlinear processes via gap metric is discussed. It is shown that the loop-shaping H approach can integrate the procedure of selectin...
Wen Tan, Horacio J. Marquez, Tongwen Chen, Ji-zhen...
CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
13 years 3 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
AUTOMATICA
2004
103views more  AUTOMATICA 2004»
13 years 8 months ago
Nonlinear adaptive control for bioreactors with unknown kinetics
We consider a control problem for a single bioreaction occuring in a continuous and well mixed bioreactor, assuming that the bioreaction's kinetics is not represented by a va...
Ludovic Mailleret, Olivier Bernard, Jean-Philippe ...
ESSMAC
2003
Springer
14 years 1 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith