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122 969 (0,24s)

Result

Bayesian filtering with discrete-valued state

The paper deals with estimation of a state with discrete values. The proposed estimation technique is evolved as an application of Bayesian filtering to a state-space model with discrete distribution. The ...

BC - Teorie a systémy řízení

  • 2009
  • D
Result

Diffusion Estimation Of State-Space Models: Bayesian Formulation

The paper studies the problem of decentralized distributed estimation of the state-space models from the Bayesian viewpoint. The adopted diffusion strategy, consisting of collective adaptation to new data and combination ...

Statistics and probability

  • 2014
  • D
  • Link
Result

Towards Bayesian filtering on restricted support

. Its state and parameters are estimated under hard physical bounds. Off-line. No approximation is required for sole estimation of either model parameters or states mode by estimating within a sliding wind...

BC - Teorie a systémy řízení

  • 2006
  • D
Result

Approximate recursive Bayesian estimation of state space model with uniform noise

is described by a uniform distribution. The states are estimated using Bayesian approachThis paper proposes a recursive algorithm for the state estimation of a linear stochastic state space model...

Automation and control systems

  • 2018
  • D
  • Link
Result

Output-Feedback Model Predictive Control Using Set of State Estimates

The paper deals with an algorithm of output-feedback model predictive control (MPC) where the required point state estimate is selected from the set of possible estimates. The involved state estimator is b...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • C
  • Link
Result

Approximate Bayesian Prediction Using State Space Model with Uniform Noise

parameters are supposed to be known. Unknown states are estimated using Bayesian approach) is approximated by a parallelotopic set. The state estimation consists of two stages, namelyThis paper proposes a...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • C
  • Link
Result

Bayesian State Estimation Using Constrained Zonotopes

This paper proposes an approximate Bayesian recursive algorithm for the state estimation of a linear discrete-time stochastic state-space model. The involved state and observation noises are assumed to be ...

Automation and control systems

  • 2023
  • D
  • Link
Result

When has estimation reached a steady state? The Bayesian sequential test

The paper is concerned with distributions of time series which undergo a transient period (e.g. posterior estimates of parameters). In computer intensive applications, it is desirable to stop the processing when the transient period is pract...

BB - Aplikovaná statistika, operační výzkum

  • 2005
  • Jx
Result

Non-Parametric Bayesian Measurement Noise Density Estimation in Non-Linear Filtering

In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle ?lters and Dirichlet density estimation. In the proposed method, the unknown noi...

BD - Teorie informace

  • 2011
  • D
Result

Bayesian Structure Estimation: State and Progress.

Annotation not available...

BD - Teorie informace

  • 1995
  • Vx
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