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» Optimal Control in Large Stochastic Multi-agent Systems
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HYBRID
2007
Springer
14 years 3 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 6 months ago
Stochastic optimization for Markov modulated networks with application to delay constrained wireless scheduling
Abstract-- We consider a wireless system with a small number of delay constrained users and a larger number of users without delay constraints. We develop a scheduling algorithm th...
Michael J. Neely
CDC
2009
IEEE
110views Control Systems» more  CDC 2009»
13 years 6 months ago
Perturbation analysis and optimization of multiclass multiobjective Stochastic Flow Models
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
Chen Yao, Christos G. Cassandras
ISLPED
1999
ACM
91views Hardware» more  ISLPED 1999»
14 years 1 months ago
Stochastic modeling of a power-managed system: construction and optimization
-- The goal of a dynamic power management policy is to reduce the power consumption of an electronic system by putting system components into different states, each representing ce...
Qinru Qiu, Qing Wu, Massoud Pedram
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
14 years 7 days ago
Stochastic control over finite capacity channels: Causality, feedback and uncertainty
Abstract-- Optimal communication/control analysis and design of dynamical controlled systems, when there are finite capacity communication constraints often involve information and...
Charalambos D. Charalambous, Christos K. Kourtella...