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BMCBI
2006
159views more  BMCBI 2006»
13 years 7 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
ICRA
2009
IEEE
136views Robotics» more  ICRA 2009»
13 years 5 months ago
PDAC-based underactuated 3D bipedal walking - Stabilization of PDAC constants and walking direction control -
This paper proposes a three-dimensional biped dynamic walking algorithm based on Passive Dynamic Autonomous Control (PDAC) which is previously proposed. The robot dynamics is model...
Tadayoshi Aoyama, Kosuke Sekiyama, Yasuhisa Hasega...
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 2 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
AUTOMATICA
2005
115views more  AUTOMATICA 2005»
13 years 7 months ago
Robust constrained predictive control using comparison model
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
Hiroaki Fukushima, Robert R. Bitmead
IJAR
2008
92views more  IJAR 2008»
13 years 7 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...