has been cited by the following article(s):
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[1]
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Multi-agent flocking with obstacle avoidance and safety distance preservation: a fuzzy potential-based approach
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Intelligent Service Robotics,
2024 |
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[2]
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Cooperative Adaptive Fuzzy Control of Uncertain Affine Nonlinear Multi-agent Systems Based on Artificial Potential Functions
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2020 |
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[3]
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Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems
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PLOS ONE,
2017 |
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[4]
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Flocking Control of Multiple AUVs Based on Fuzzy Potential Functions
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2017 |
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[5]
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Evolution of fuzzy animats in a competitive environment
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Dissertation,
2017 |
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[6]
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Evolucija mehkih animatov v tekmovalnem okolju
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2017 |
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[7]
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Development of Path Following and Cooperative Motion Control Algorithms for Autonomous Underwater Vehicles
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Thesis,
2015 |
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[8]
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Fuzzy control of a class of autonomous formation constrained systems
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Neural Computing and Applications,
2013 |
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[9]
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Optimized transit planning and landing of aerial robotic swarms
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Robotics and Automation (ICRA), 2013 …,
2013 |
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[10]
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Swarm Cohesion Stability Using a Fuzzy Logic Based Attractive/Repulsive Function
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Applied Mechanics and Materials,
2013 |
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[11]
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Aggregation stability of multiple agents with fuzzy attraction and repulsion forces
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Methods and Models in Automation …,
2013 |
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[12]
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Flocking control of mobile autonomous agents via fuzzy logic approach
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Information Technology in …,
2012 |
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[13]
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Feature evaluation based fuzzy C-mean classification
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2011 |
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[14]
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Design of interval type-2 fuzzy logic controllers for flocking algorithm
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Fuzzy Systems (FUZZ), 2011 IEEE …,
2011 |
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[1]
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Multi-agent flocking with obstacle avoidance and safety distance preservation: a fuzzy potential-based approach
Intelligent Service Robotics,
2024
DOI:10.1007/s11370-023-00500-7
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[2]
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Cooperative Adaptive Fuzzy Control of Uncertain Affine Nonlinear Multi-agent Systems Based on Artificial Potential Functions
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),
2020
DOI:10.1109/FUZZ48607.2020.9177638
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[3]
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Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems
PLOS ONE,
2017
DOI:10.1371/journal.pone.0168876
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[4]
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Swarm Cohesion Stability Using a Fuzzy Logic Based Attractive/Repulsive Function
Applied Mechanics and Materials,
2013
DOI:10.4028/www.scientific.net/AMM.336-338.964
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[5]
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Aggregation stability of multiple agents with fuzzy attraction and repulsion forces
2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR),
2013
DOI:10.1109/MMAR.2013.6669885
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[6]
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Optimized transit planning and landing of aerial robotic swarms
2013 IEEE International Conference on Robotics and Automation,
2013
DOI:10.1109/ICRA.2013.6630820
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[7]
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Flocking control of mobile autonomous agents via fuzzy logic approach
2012 International Symposium on Information Technologies in Medicine and Education,
2012
DOI:10.1109/ITiME.2012.6291484
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[8]
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Feature evaluation based Fuzzy C-Mean classification
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011),
2011
DOI:10.1109/FUZZY.2011.6007465
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