Incremental state model in predictive control: A new fuzzy control proposal for nonlinear systems-Reference-Cited by-同舟云学术

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Incremental state model in predictive control: A new fuzzy control proposal for nonlinear systems

Published:2022-02-24 Issue:6 Volume:16 Page:573-586
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Al‐Hadithi Basil Mohammed¹²,Adánez José Miguel¹,Comina Mayra¹^ORCID,Jiménez Agustín¹

Affiliation:

1. Intelligent Control Group Universidad Politécnica de Madrid Centre for Automation and Robotics UPM‐CSIC Madrid Spain

2. Department of Electrical, Electronics, Control Engineering and Applied Physics Higher Technical School of Industrial Design and Engineering Universidad Politécnica de Madrid Madrid Spain

Funder

Ministerio de Ciencia e Innovación

Agencia Estatal de Investigación

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/cth2.12247

Reference31 articles.

1. Fuzzy identification of systems and its applications to modeling and control

2. A multivariable predictive fuzzy PID control system

3. Incremental predictive control‐based output consensus of networked unmanned surface vehicle formation systems;Zhao‐Qing L.;Inf. Sci.,2018

4. Networked Predictive Fuzzy Control of Systems with Forward Channel Delays based on a Linear Model Predictor

5. Coolant circuit modeling and temperature fuzzy control of proton exchange membrane fuel cells

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