Output-Feedback Model Predictive Control Using Set of State Estimates

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00569998" target="_blank" >RIV/67985556:_____/23:00569998 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-031-26474-0_8" target="_blank" >http://dx.doi.org/10.1007/978-3-031-26474-0_8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-26474-0_8" target="_blank" >10.1007/978-3-031-26474-0_8</a>

Result language

angličtina

Original language name

Output-Feedback Model Predictive Control Using Set of State Estimates

Original language description

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 based on an approximate uniform Bayesian filter. In the paper, there are compared conservative mean and progressive composite state estimates. The proposed method is illustrated by the motion control of a specific robotic system.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Informatics in Control, Automation and Robotics. ICINCO 2021 : Revised Selected Papers

ISBN

978-3-031-26474-0

Number of pages of the result

12

Pages from-to

151-162

Number of pages of the book

209

Publisher name

Springer

Place of publication

Cham

UT code for WoS chapter

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