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HYBRID
2007
Springer
14 years 1 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...
TROB
2010
129views more  TROB 2010»
13 years 5 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...
CDC
2009
IEEE
139views Control Systems» more  CDC 2009»
13 years 5 months ago
Synchronization stability of complex dynamical networks with probabilistic time-varying delays
Abstract-- A kind of complex dynamical networks with timevarying coupling delays is proposed. By some transformation, the synchronization problem of the complex networks is transfe...
Hongjie Li, Dong Yue, Zhou Gu
SIAMCO
2008
66views more  SIAMCO 2008»
13 years 7 months ago
Partial Information Linear Quadratic Control for Jump Diffusions
We study a stochastic control problem where the state process is described by a stochastic differential equation driven by a Brownian motion and a Poisson random measure, being af...
Yaozhong Hu, Bernt Oksendal
JAIR
2008
113views more  JAIR 2008»
13 years 7 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen