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TROB
2010
129views more  TROB 2010»
13 years 6 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...
CORR
2010
Springer
79views Education» more  CORR 2010»
13 years 8 months ago
Quantitative Games on Probabilistic Timed Automata
Abstract. Two-player zero-sum games are a well-established model for synthesising controllers that optimise some performance criterion. In such games one player represents the cont...
Marta Z. Kwiatkowska, Gethin Norman, Ashutosh Triv...
ISER
2004
Springer
117views Robotics» more  ISER 2004»
14 years 1 months ago
Synthesis and Analysis of Non-Reactive Controllers for Multi-Robot Sequential Task Domains
In this paper we present a macroscopic model for the analysis of homogeneous task-directed multi-robot systems (MRS). The model is used to compute the probability that a given MRS ...
Chris Jones, Maja J. Mataric
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 2 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
CDC
2008
IEEE
136views Control Systems» more  CDC 2008»
14 years 2 months ago
Reformulating negative imaginary frequency response systems to bounded-real systems
— This paper provides a reformulation of closed-loop systems that have negative imaginary frequency response to closed-loop systems that have bounded gain, so that theory and res...
Alexander Lanzon, Zhuoyue Song, Ian R. Petersen