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AUTOMATICA
2002
93views more  AUTOMATICA 2002»
13 years 4 months ago
A probabilistic framework for problems with real structured uncertainty in systems and control
The objective of this paper is twofold. First, the problem of generation of real random matrix samples with uniform distribution in structured (spectral) norm bounded sets is stud...
Giuseppe Carlo Calafiore, Fabrizio Dabbene
TROB
2010
129views more  TROB 2010»
13 years 3 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
IAT
2008
IEEE
13 years 5 months ago
Structured Learning of Component Dependencies in AmI Systems
As information and communication technologies are becoming an integral part of our homes, the demand for AmI systems with assistive functionality is increasing. A great effort has...
Todor Dimitrov, Josef Pauli, Edwin Naroska, Christ...
CAV
2012
Springer
251views Hardware» more  CAV 2012»
11 years 7 months ago
A Model Checker for Hierarchical Probabilistic Real-Time Systems
Real-life systems are usually hard to control, due to their complicated structures, quantitative time factors and even stochastic behaviors. In this work, we present a model checke...
Songzheng Song, Jun Sun 0001, Yang Liu 0003, Jin S...
ICRA
2008
IEEE
136views Robotics» more  ICRA 2008»
13 years 11 months ago
Multi-agent probabilistic search in a sequential decision-theoretic framework
— Consider the task of searching a region for the presence or absence of a target using a team of multiple searchers. This paper formulates this search problem as a sequential pr...
Timothy H. Chung, Joel W. Burdick