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» Model predictive controllers for magnetic levitation systems
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TSP
2010
14 years 4 months ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...
CIBCB
2007
IEEE
15 years 1 months ago
Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering
Gene regulatory network model is the most widely used mechanism to model and predict the behavior of living organisms. Network Component Analysis (NCA) as an emerging issue for unc...
Fatemeh Bakouie, Mohammad Hassan Moradi
CODES
2006
IEEE
15 years 4 months ago
Accurate yet fast modeling of real-time communication
Accurate modeling of communication is a necessary part of system level design for real-time safety-critical applications. For efficient prediction of a system’s performance, Tra...
Gunar Schirner, Rainer Dömer
AUTOMATICA
2005
108views more  AUTOMATICA 2005»
14 years 9 months ago
Enlarging the domain of attraction of MPC controllers
This paper presents a method for enlarging the domain of attraction of nonlinear model predictive control (MPC). The usual way of guaranteeing stability of nonlinear MPC is to add...
Daniel Limón, T. Alamo, Eduardo F. Camacho
PG
2007
IEEE
15 years 4 months ago
Multilinear Motion Synthesis with Level-of-Detail Controls
Interactive animation systems often use a level-of-detail (LOD) control to reduce the computational cost by eliminating unperceivable details of the scene. Most methods employ a m...
Tomohiko Mukai, Shigeru Kuriyama