When control and state variations increase uncertainty: Modeling and stochastic control in discrete time-Reference-Cited by-同舟云学术

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When control and state variations increase uncertainty: Modeling and stochastic control in discrete time

Published:2021-01 Issue: Volume:123 Page:109341
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Pedrosa Filipe C.^ORCID,Nereu João C.,do Val João B.R.^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado do Amazonas

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference28 articles.

1. Adaptive control;Åström,2008

2. Data-driven controller design: The H2 approach;Bazanella,2011

3. Dynamic programming: Deterministic and stochastic models;Bertsekas,1987

4. Neuro-dynamic programming;Bertsekas,1996

5. Central banking in theory and practice;Blinder,1999

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The H∞‐optimal control problem of CSVIU systems;International Journal of Robust and Nonlinear Control;2023-10-30

2. Small Gain and Small Angle Conditions for Feedback Stability Analysis of Linear Stochastic Systems;IEEE Transactions on Automatic Control;2023

3. The $\mathcal{H}_2$-optimal Control Problem of CSVIU Systems: Discounted, Counterdiscounted, and Long-Run Solutions;SIAM Journal on Control and Optimization;2022-08

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