Model predictive control of switching continuous‐time systems with stochastic jumps: Application to an electric current source-Reference-Cited by-同舟云学术

Model predictive control of switching continuous‐time systems with stochastic jumps: Application to an electric current source

Published:2022-02-08 Issue:4 Volume:16 Page:454-463
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Vargas Alessandro N.¹,Ishihara João Y.²,Caruntu Constantin F.³,Zhang Lixian⁴,Djanan Armand A. Nanha⁵

Affiliation:

1. Universidade Tecnológica Federal do Paraná Cornelio Procópio‐PR Brazil

2. Universidade de Brasília, UnB, FT Brasília‐DF Brazil

3. Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania

4. Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China

5. Laboratory of Modelling and Simulation in Engeneering, Biomimetics and Prototypes, Faculty of Sciences University of Yaoundé I Yaoundé Cameroon

Funder

Conselho Nacional das Fundações Estaduais de Amparo à Pesquisa

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12242

Reference52 articles.

1. Model Predictive Control for integrated lateral stability, traction/braking control, and rollover prevention of electric vehicles

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3. Optimizing energy production of an Inertial Sea Wave Energy Converter via Model Predictive Control

4. Model Predictive Control for Power Converters and Drives: Advances and Trends

5. Feedback and feedforward control in the context of model predictive control with application to the management of type 1 diabetes mellitus

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