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CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 4 months ago
Min-Max predictive control of a pilot plant using a QP approach
— The practical implementation of Min-Max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by ...
Jorn Klaas Gruber, Daniel R. Ramírez, Teodo...
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 2 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
APIN
2008
102views more  APIN 2008»
14 years 10 months ago
Approximation-based feature selection and application for algae population estimation
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
Qiang Shen, Richard Jensen
JMLR
2010
103views more  JMLR 2010»
14 years 4 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
CAV
2006
Springer
141views Hardware» more  CAV 2006»
15 years 1 months ago
SMT Techniques for Fast Predicate Abstraction
niques for Fast Predicate Abstraction Shuvendu K. Lahiri , Robert Nieuwenhuis , and Albert Oliveras Abstract. Predicate abstraction is a technique for automatically exfinite-state ...
Shuvendu K. Lahiri, Robert Nieuwenhuis, Albert Oli...