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103
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IJCAI
2003
15 years 1 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
JCP
2007
154views more  JCP 2007»
15 years 6 days ago
Partially Reconfigurable Vector Processor for Embedded Applications
—Embedded systems normally involve a combination of hardware and software resources designed to perform dedicated tasks. Such systems have widely crept into industrial control, a...
Muhammad Z. Hasan, Sotirios G. Ziavras
77
Voted
CDC
2009
IEEE
112views Control Systems» more  CDC 2009»
15 years 1 months ago
Prediction-based observation of nonlinear systems non-affine in the unmeasured states
The presented work addresses the observation problem for a large class of nonlinear systems, including systems which are nonlinear in the unmeasured states. Assuming partial state ...
Yannick Morel, Alexander Leonessa
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 6 months ago
Discrete-time sliding mode neural observer for continuous time mechanical systems
— This paper proposes a novel discrete­time veloc­ ity observer which uses neural network and sliding mode for unknown continuous time mechanical systems. The neural observer i...
Juan Resendiz, Wen Yu, Leonid M. Fridman
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 12 days ago
Optimization and Convergence of Observation Channels in Stochastic Control
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...
Serdar Yüksel, Tamás Linder