2018
DOI: 10.1016/j.isatra.2018.01.024
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Flocking of quad-rotor UAVs with fuzzy control

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Cited by 20 publications
(12 citation statements)
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“…Recently, because of many advantages of Euler-Lagrange systems (ELSs), such as robustness, high adaptivity, better flexibility, and low cost of operation, there has been an increasing interest in the study of the consensus of ELSs, especially for multiple ELSs systems. And the systems mentioned above are due to the wide range of applications of distributed control in the field of multi-agent control, such as leader-following consensus, 1 distributed protocol, 2,3 coordinated tracking, 4,5 flocking, 6,7 and formation tracking [8][9][10] have also been studied. Event-triggered control has been increasingly investigated in recent years because it does not require constant communication and offers significant savings in control costs.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, because of many advantages of Euler-Lagrange systems (ELSs), such as robustness, high adaptivity, better flexibility, and low cost of operation, there has been an increasing interest in the study of the consensus of ELSs, especially for multiple ELSs systems. And the systems mentioned above are due to the wide range of applications of distributed control in the field of multi-agent control, such as leader-following consensus, 1 distributed protocol, 2,3 coordinated tracking, 4,5 flocking, 6,7 and formation tracking [8][9][10] have also been studied. Event-triggered control has been increasingly investigated in recent years because it does not require constant communication and offers significant savings in control costs.…”
Section: Introductionmentioning
confidence: 99%
“…Much literature has exploited the uncertainty handling capabilities of fuzzy logic in diverse application domains of robots, including climbing robotics [ 32 , 33 ], autonomous vehicles [ 34 , 35 ], aerial robotics [ 36 , 37 ], and maintenance and inspection robotics [ 38 , 39 ]. In particular, fuzzy logic has often been utilized for navigating robots in unknown environments.…”
Section: Introductionmentioning
confidence: 99%
“…Owing to its effectiveness and excellent control performance, the control method in [14] was extended to solve the output tracking problem for a group of strict-feedback nonlinear large-scale systems in [15]. Moreover, trajectory tracking control problem for multiple quad-rotor UAVs is solved by designing an adaptive fuzzy control scheme in [16]. Although effective, the relevant adaptive schemes based on the NN and fuzzy logic system are only valid in the relevant compact set.…”
Section: Introductionmentioning
confidence: 99%