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JIRS
2008
100views more  JIRS 2008»
13 years 5 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 8 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
CDC
2010
IEEE
131views Control Systems» more  CDC 2010»
12 years 9 months ago
State estimation of two-time scale multiple models with unmeasurable premise variables. Application to biological reactors
— This paper deals with the state estimation of nonlinear systems. The systems under study are characterized by two-time scale models. The state estimation is performed by design...
Anca Maria Nagy-Kiss, Benoît Marx, Gilles Mo...
EAAI
2007
199views more  EAAI 2007»
13 years 5 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
CDC
2009
IEEE
112views Control Systems» more  CDC 2009»
13 years 9 months ago
Model predictive control for wind power generation smoothing with controlled battery storage
The aim of this study is to design a controller based on model predictive control (MPC) theory to smooth wind power generation along with the controlled storage of the wind energy ...
Muhammad Khalid, Andrey V. Savkin