A modified bacterial-foraging tuning algorithm for multimodal optimization of the flight control system-Reference-Cited by-同舟云学术

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A modified bacterial-foraging tuning algorithm for multimodal optimization of the flight control system

Published:2019-10 Issue: Volume:93 Page:105274
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Bian Qi,Nener Brett,Wang Xinmin

Funder

China Scholar Council

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference32 articles.

1. Aircraft Control and Simulation, Third Edition;Stevens,2015

2. The Control Handbook, Second Edition;Levine,2011

3. Multirotor aircraft formation flight control with collision avoidance capability;de Angelis;Aerosp. Sci. Technol.,2018

4. Advanced Control of Aircraft, Spacecraft and Rockets;Tewari,2011

5. Iterative Methods for Optimization: Society for Industrial and Applied Mathematics;Kelly,1999

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3. A fitness sharing based ant clustering method for multimodal optimization of the aircraft longitudinal automatic carrier landing system;Aerospace Science and Technology;2022-03

4. Event-triggered control optimal tuning through bio-inspired optimization in robotic manipulators;ISA Transactions;2021-11

5. A survey of bacterial foraging optimization;Neurocomputing;2021-09

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