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» Combining programs and state machines
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JIRS
2008
100views more  JIRS 2008»
13 years 8 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...
AGP
1998
IEEE
14 years 1 months ago
Dynamic Logic Programming
In this paper we investigate updates of knowledge bases represented by logic programs. In order to represent negative information, we use generalized logic programs which allow de...
José Júlio Alferes, João Alex...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 2 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
FPCA
1995
14 years 9 days ago
How Much Non-Strictness do Lenient Programs Require?
Lenient languages, such as Id90, have been touted as among the best functional languages for massively parallel machines AHN88]. Lenient evaluation combines non-strict semantics w...
Klaus E. Schauser, Seth Copen Goldstein
EMSOFT
2004
Springer
14 years 2 months ago
A model-based approach to integrating security policies for embedded devices
Embedded devices like smart cards can now run multiple interacting applications. A particular challenge in this domain is to dynamically integrate diverse security policies. In th...
Michael McDougall, Rajeev Alur, Carl A. Gunter