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Milch, B. et al. BLOG: probabilistic models with unknown objects.
Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong and Andrey Kolobov, ''BLOG: Probabilistic Models with Unknown Objects". In Proc.
This paper proposes an automated approach to cointegrated system modeling that uses adaptive shrinkage techniques to estimate vector error correction models with unknown cointegrating rank structure and unknown transient lag dynamic order.
Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L. Ong and Andrey Kolobov, ''BLOG: Probabilistic Models with Unknown Objects". In L. Getoor and B. Taskar, Eds., Introduction to Statistical Relational Learning.
This contribution proposes a robust recursive algorithm for the state estimation of linear models with unknown but bounded disturbances corrupting both the state and measurement vectors.
Multivariable non-linear dynamics of the satellite system are converted into three well-known non-linear canonical independent models with unknown parameters.
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This paper investigates the design of an output feedback adaptive stabilization controller for a nonholonomic chained system with strong nonlinear drifts, including modeled nonlinear dynamics, unmodeled dynamics, and dynamics modeled with unknown parameters.
Brian Milch, Bhaskara Marthi, and Stuart Russell, ''BLOG: Relational Modeling with Unknown Objects". In Proc.
We consider a unicycle vehicle model with unknown constant linear and angular speeds.
A nonlinear system model with unknown faults is established based on the separate-bias principle.
This paper deals with the state estimation of nonlinear discrete systems described by a multiple model with unknown inputs.
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