Fractional‐order filter‐based enhanced full state feedback control design with multi‐objective formulation using grey wolf optimization algorithm-Reference-Cited by-同舟云学术

Fractional‐order filter‐based enhanced full state feedback control design with multi‐objective formulation using grey wolf optimization algorithm

Published:2022-12-12 Issue: Volume: Page:
ISSN:0143-2087
Container-title:Optimal Control Applications and Methods
language:en
Short-container-title:Optim Control Appl Methods

Author:

Kumar Lalitesh¹,Singh Dhillon Sukhwinder²,Kumar Prawendra³

Affiliation:

1. College of Control Science and Engineering Zhejiang University Hangzhou Zhejiang China

2. Department of Electrical and Electronics Engineering Ajay Kumar Garg Engineering College Ghaziabad Uttar Pradesh India

3. J P Morgan Chase & Co. Warsaw Poland

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/oca.2961

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3. LQG/LTR Controller Design Based on Improved SFACC for the PWR Reactor Power Control System

4. Multi-objective LQR with optimum weight selection to design FOPID controllers for delayed fractional order processes

5. CiC HolohanA.A revisit of the stability robustness of linear quadratic regulators. Proceedings of the 25th IET Irish Signals Systems Conference 2014 and 2014 China‐Ireland International Conference on Information and Communications Technologies;2014:310‐315.

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