A novel recurrent self-evolving fuzzy neural network for consensus decision-making of unmanned aerial vehicles

A novel recurrent self-evolving fuzzy neural network for consensus decision-making of unmanned aerial vehicles

Currently, for years, unmanned aerial vehicles have been widely applied in a comprehensive realm. By enhancing computer photography and artificial intelligence, it can automatically discriminate against environmental objectives and detect events that occur in the real scene. The application of colla...

Full description

Bibliographic Details
Main Authors:	ZY Chen, Yahui Meng, Ruei-Yuan Wang, Rong Jiang, Timothy Chen
Format:	Article
Language:	English
Published:	SAGE Publishing 2024-04-01
Series:	International Journal of Advanced Robotic Systems
Online Access:	https://doi.org/10.1177/17298806231190960

Similar Items

Evaluation of Unmanned Aerial Vehicles for Precision Agriculture Based on Integrated Fuzzy Decision-Making Approach
by: Ali Najm Jasim, et al.
Published: (2023-01-01)

Distributed decision making for unmanned aerial vehicle inspection with limited energy constraint
by: Qi Wang, et al.
Published: (2024-12-01)

Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence
by: Mustafa Hamurcu, et al.
Published: (2020-01-01)

Expert consensus on unmanned aerial vehicle blood transportation in Shenzhen
by: Blood Transfusion Branch of Shenzhen Medical Association Expert Consensus Writing Group on Unmanned Aerial Vehicle Blood Transportation in Shenzhen
Published: (2024-11-01)

Evolving Rule-Based Explainable Artificial Intelligence for Unmanned Aerial Vehicles
by: Blen M. Keneni, et al.
Published: (2019-01-01)

Application of fuzzy controllers in the autopilot of an unmanned aerial vehicle
by: Penghao Gu, et al.
Published: (2024-11-01)

FUZZY-GENETIC CONTROL OF QUADROTOR UNMANNED AERIAL VEHICLES
by: Attila Nemes
Published: (2016-03-01)

Development of distributed consensus protocol for multi-unmanned aerial vehicle coordination
by: Tan, Seet Ynn
Published: (2022)

Online decision making and path planning framework for safe operation of unmanned aerial vehicles in urban scenarios
by: Marcos Quiñones-Grueiro, et al.
Published: (2021-03-01)

A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle
by: Feifei Zhao, et al.
Published: (2018-09-01)

Corrigendum: A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle
by: Feifei Zhao, et al.
Published: (2022-11-01)

Unmanned Aerial Vehicle Selection Using Fuzzy Choquet Integral
by: Muhammet Enes AKPINAR
Published: (2021-07-01)

Research on reinforcement learning-based safe decision-making methodology for multiple unmanned aerial vehicles
by: Longfei Yue, et al.
Published: (2023-01-01)

Robust Satisficing Decision Making for Unmanned Aerial Vehicle Complex Missions under Severe Uncertainty.
by: Xiaoting Ji, et al.
Published: (2016-01-01)

Unmanned aerial vehicles
by: Vlado Jurić, et al.
Published: (2016-12-01)

Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks
by: Kayacan, Erdal, et al.
Published: (2017)

Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks
by: Erdal Kayacan, et al.
Published: (2017-01-01)

Formation Control for Unmanned Aerial Vehicles with Directed and Switching Topologies
by: Yahui Qi, et al.
Published: (2016-01-01)

Consensus Tracking Control of Multiple Unmanned Aerial Vehicles Subject to Distinct Unknown Delays
by: Sandy-Natalie Campos-Martínez, et al.
Published: (2024-05-01)

BASIC CONDITIONS FOR MAKING DECISION ON THE CREATION OF AN AUTOMATED CONTROL SYSTEM FOR GROUP APPLICATION OF UNMANNED AERIAL VEHICLES
by: Leonid Artyushin, et al.
Published: (2019-09-01)

Information geometry-based action decision-making for target tracking by fixed-wing unmanned aerial vehicle
by: Yunyun Zhao, et al.
Published: (2018-07-01)

Study on optimization of communication network for multi-unmanned aerial vehicles
by: Guanghua He, et al.
Published: (2023-01-01)

Guidance of unmanned aerial vehicles /
by: 406179 Yanushevsky, Rafael
Published: (2011)

UAV : unmanned aerial vehicles /
by: 214094 Gerken, Louis C.
Published: ( 199)

Development of an unmanned aerial vehicle
by: Tay, Liang Kiat.
Published: (2012)

Examination of the Unmanned Aerial Vehicle
by: Setlak Lucjan, et al.
Published: (2019-01-01)

Unmanned Aerial Vehicles in Geomatics
by: Gonzalo Pajares Martinsanz
Published: (2016-08-01)

Localization of an unmanned aerial vehicle in an indoor environment
by: Chen, Xing Yu
Published: (2016)

A Channel Rendezvous Algorithm for Multi-Unmanned Aerial Vehicle Networks Based on Average Consensus
by: Yunlu Wang, et al.
Published: (2023-09-01)

Auditory Decision Aiding in Supervisory Control of Multiple Unmanned Aerial Vehicles
by: Donmez, B., et al.
Published: (2014)

Decision-based routing for unmanned aerial vehicles and internet of things networks
by: Maisam Ali, et al.
Published: (2023)

Decision-Based Routing for Unmanned Aerial Vehicles and Internet of Things Networks
by: Maisam Ali, et al.
Published: (2023-02-01)

FUZZY C-MEANS ALGORITHM FOR SEGMENTATION OF AERIAL PHOTOGRAPHY DATA OBTAINED USING UNMANNED AERIAL VEHICLE
by: M. V. Akinin, et al.
Published: (2015-05-01)

Unmanned Aerial Vehicles Motion Control with Fuzzy Tuning of Cascaded-PID Gains
by: Fabio A. A. Andrade, et al.
Published: (2021-12-01)

An Evolving Partial Consensus Fuzzy Collaborative Forecasting Approach
by: Tin-Chih Toly Chen, et al.
Published: (2020-04-01)

Application of blockchain in the cluster of unmanned aerial vehicles
by: Shiwu Chen, et al.
Published: (2021-03-01)

A model of fuzzy consensus for group decision making
by: sedigheh khorshid, et al.
Published: (2004-08-01)

Development of unmanned aerial vehicle for aerial fertilization application /
by: Mohd. Haziq Aqhmal Hisham, 1995- 611780, et al.
Published: (2017)

Development of unmanned aerial vehicle for aerial fertilization application /
by: Mohd. Haziq Aqhmal Hisham, 1995- 611780
Published: (2017)

Autonomous Vision-Based Aerial Grasping for Rotorcraft Unmanned Aerial Vehicles
by: Lishan Lin, et al.
Published: (2019-08-01)