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25 759 (0,161s)

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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 bounded and uniformly distributed. T...

Automation and control systems

  • 2023
  • D
  • Link
Result

Pool & Discard Algorithm for Chance Constrained Optimization Problems

In this paper, we describe an effective algorithm for handling chance constrained optimization problems, called the Pool & Discard algorithm. The algorithm utilizes the scenario approximation framework for chance constrained

Applied mathematics

  • 2020
  • Jimp
  • Link
Result

Chance constrained problems: penalty reformulation and performance of sample approximation technique

and analyze then the chance constrained programs. We discuss solving both problems using the ability to generate a feasible solution of the original chance constrained problem using the sample approximations of the chance ...

BB - Aplikovaná statistika, operační výzkum

  • 2012
  • Jx
  • Link
Result

Approximation of the continuous stochastic programs via mathematical programming

In this paper we formulate two-stage stochastic model of selected PDE constrained problem. Computational experience and graphical results are reported....

BB - Aplikovaná statistika, operační výzkum

  • 2007
  • D
Result

Design of Confidence Sets for Estimation with Approximate Piecewise Linear Constraint

and an approximate piecewise linear constraint. The proposed approach combines constrainedConstrained state estimation has been studied in the literature usually from the point estimation perspective. That is, a random vec...

Automation and control systems

  • 2020
  • D
  • Link
Result

Arbitrary-level hanging nodes for adaptive hp-FEM approximations in 3D

In this paper we discuss constrained approximation with arbitrary-level hanging nodes in adaptive higher-order finite element methods (hp-FEM) for three-dimensional problems. This technique enables using highly irregular meshes, and...

BA - Obecná matematika

  • 2014
  • Jx
  • Link
Result

Automated Verifiability-Driven Design of Approximate Circuits: Exploiting Error Analysis

A fundamental assumption for search-based circuit approximation methods solutions. For complex approximate circuits (adders and multipliers), common error constrained resources, such as limited execution time. In addition, ...

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

  • 2024
  • D
  • Link
Result

Fast QP Algorithm for Dynamic Penalty Model Predictive Control

related to box constrained linear Model Predictive Control (MPC) the new approximation structure. This approximation is based on idea not to consider the model dynamics on the model. Furthermore, the specific sparse struct...

BC - Teorie a systémy řízení

  • 2013
  • D
Result

Max-min and min-max Approximation Problems for Normal Matrices Revisited

We give a new proof of an equality of certain max-min and min-max approximation apply tools from matrix theory, (analytic) optimization theory, and constrained approximation theory and thus exploits the link between the two...

BA - Obecná matematika

  • 2014
  • Jx
  • Link
Result

Approximations in stochastic and robust programming problems

to a certain level of probability (chance-constrained programming). Robust programming realizations of theparameters. Both methods require some kind of approximation because of computational difficulties. The paper deals with such ...

BB - Aplikovaná statistika, operační výzkum

  • 2006
  • D
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