Sciweavers

357 search results - page 17 / 72
» Computing Reachable States for Nonlinear Biological Models
Sort
View
117
Voted
JIRS
2008
100views more  JIRS 2008»
14 years 11 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...
PRL
2007
128views more  PRL 2007»
14 years 11 months ago
Automatic recognition of biological particles in microscopic images
A simple and general-purpose system to recognize biological particles is presented. It is composed of four stages. First (if necessary) promising locations in the image are detect...
Marc'Aurelio Ranzato, P. E. Taylor, J. M. House, R...
106
Voted
RECOMB
2004
Springer
15 years 12 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
111
Voted
CMSB
2011
Springer
13 years 11 months ago
The singular power of the environment on stochastic nonlinear threshold Boolean automata networks
Abstract. This paper tackles theoretically the question of the structural stability of biological regulation networks subjected to the influence of their environment. The model of...
Jacques Demongeot, Sylvain Sené
79
Voted
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
15 years 4 months ago
A symbolic model approach to the digital control of nonlinear time-delay systems
— In this paper we propose an approach to control design of nonlinear time–delay systems, which is based on the construction of symbolic models, where each symbolic state and e...
Giordano Pola, Pierdomenico Pepe, Maria Domenica D...