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Performance bounds for linear stochastic control
Stochastic control Model predictive control Linear matrix inequality Convex optimization
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2015/8/10
We develop computational bounds on performance for causal state feedback stochastic control with linear dynamics, arbitrary noise distribution, and arbitrary input constraint set. This can be very use...
Simple Bounds for Recovering Low-complexity Models
`1-norm minimization nuclear-norm minimization block-sparsity duality random matrices
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2015/6/17
This note presents a unified analysis of the recovery of simple objects from random linear measurements. When the linear functionals are Gaussian, we show that an s-sparse vector in Rn can be efficien...