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ICTAI
2008
IEEE
15 years 4 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
COMCOM
2004
98views more  COMCOM 2004»
14 years 9 months ago
End system multicast: an architectural infrastructure and topological optimization
Although IP-multicast has been proposed and investigated for years, there are major problems inherent in the IP-multicasting technique, e.g., difficulty to scale up the system, di...
Starsky H. Y. Wong, John C. S. Lui
SACI
2007
IEEE
15 years 4 months ago
Geometric Theory and Control of Linear Parameter Varying Systems
: Linear Parameter Varying(LPV) systems appear in a form of LTI state space representations where the elements of the A(ρ), B(ρ), C(ρ) matrices can depend on an unknown but at a...
Jozsef Bokor
BC
2005
101views more  BC 2005»
14 years 9 months ago
A control theory approach to the analysis and synthesis of the experimentally observed motion primitives
Recent experiments on frogs and rats, have led to the hypothesis that sensory-motor systems are organized into a finite number of linearly combinable modules; each module generates...
Francesco Nori, Ruggero Frezza
AIR
1998
103views more  AIR 1998»
14 years 9 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...