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CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
15 years 4 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
14 years 11 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»
14 years 6 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»
14 years 11 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
15 years 5 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