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» Using model knowledge for learning inverse dynamics
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JCP
2008
114views more  JCP 2008»
13 years 8 months ago
IntelligenTester - Test Sequence Optimization Framework using Multi-Agents
- Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for...
D. Jeya Mala, V. Mohan
IPPS
2009
IEEE
14 years 3 months ago
Ibis: Real-world problem solving using real-world grids
Ibis is an open source software framework that drastically simplifies the process of programming and deploying large-scale parallel and distributed grid applications. Ibis suppor...
Henri E. Bal, Niels Drost, Roelof Kemp, Jason Maas...
IUI
2006
ACM
14 years 2 months ago
Activity-oriented context-aware adaptation assisting mobile geo-spatial activities
Human geospatial activities often involves the use of geographic information in mobile environment where the context of technology use is dynamic, complex, and unstable, creating ...
Guoray Cai, Yinkun Xue
CONCUR
2007
Springer
14 years 3 months ago
Rule-Based Modelling of Cellular Signalling
Abstract. Modelling is becoming a necessity in studying biological signalling pathways, because the combinatorial complexity of such systems rapidly overwhelms intuitive and qualit...
Vincent Danos, Jérôme Feret, Walter F...
IJON
2002
154views more  IJON 2002»
13 years 8 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec