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» Optimal Control With Noisy Time
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CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
15 years 8 months ago
Dirac mixture approximation of multivariate Gaussian densities
— For the optimal approximation of multivariate Gaussian densities by means of Dirac mixtures, i.e., by means of a sum of weighted Dirac distributions on a continuous domain, a n...
Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
ISIPTA
2003
IEEE
117views Mathematics» more  ISIPTA 2003»
15 years 9 months ago
Dynamic Programming for Discrete-Time Systems with Uncertain Gain
We generalise the optimisation technique of dynamic programming for discretetime systems with an uncertain gain function. We assume that uncertainty about the gain function is des...
Gert de Cooman, Matthias C. M. Troffaes
146
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IJCAI
1993
15 years 5 months ago
Anytime Sensing Planning and Action: A Practical Model for Robot Control
Anytime algorithms, whose quality of results improves gradually as computation time increases, provide useful performance components for timecritical planning and control of robot...
Shlomo Zilberstein, Stuart J. Russell
CDC
2009
IEEE
160views Control Systems» more  CDC 2009»
15 years 8 months ago
Control of impulsive renewal systems: Application to direct design in networked control
— We consider the control of impulsive systems with jumps triggered by a renewal process, that is, the intervals between jumps are independent and identically distributed. The co...
Duarte Antunes, João Pedro Hespanha, Carlos...
EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
15 years 7 months ago
Fine-Grained Timing Using Genetic Programming
In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution t...
David Robert White, Juan E. Tapiador, Julio C&eacu...