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» Optimal Control With Noisy Time
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JIRS
2008
100views more  JIRS 2008»
15 years 4 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
ATMN
1996
15 years 5 months ago
Dynamic time sharing: a new approach for congestion management
A new approach for bandwidth allocation and congestion control is reported in this paper, which is of the Rate Controlled admission with Priority Scheduling service type. It is ca...
Adrian Popescu, Parag Pruthi
RTSS
2002
IEEE
15 years 9 months ago
Maximizing the System Value while Satisfying Time and Energy Constraints
Typical real-time scheduling theory has addressed deadline and energy constraints as well as deadline and reward constraints simultaneously in the past. However, we believe that e...
Cosmin Rusu, Rami G. Melhem, Daniel Mossé
BC
2000
69views more  BC 2000»
15 years 3 months ago
Stochastic resonance in the speed of memory retrieval
The stochastic resonance (SR) phenomenon in human cognition (memory retrieval speed for arithmetical multiplication rules) is addressed in a behavioral and neurocomputational study...
Marius Usher, Mario Feingold
CDC
2008
IEEE
146views Control Systems» more  CDC 2008»
15 years 10 months ago
Control formula for nonlinear systems subject to convex input constraints using control Lyapunov functions
— In this paper, we propose a two-step controller design method with control Lyapunov functions (CLFs) for nonlinear systems with convex input constraints. In the first step, we...
Yasuyuki Satoh, Hisakazu Nakamura, Nami Nakamura, ...