2021
DOI: 10.1109/tcyb.2020.2978981
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Adaptive Formation Control of Networked Robotic Systems With Bearing-Only Measurements

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Cited by 119 publications
(54 citation statements)
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“…For different agent models such as single integrators, double integrators and unicycles, Zhao et al (2019) designed a series of bearing-only control laws, which can enable followers to track leaders and reach the specified formation, and proved its stability by use of the standard Lyapunov method. Li et al (2021) solved the bearing-only formation control problem of the three-dimensional nonholonomic constraints system by transforming the three-dimensional nonholonomic model into Euler-Lagrange-like form and using the back-stepping design method. Zhao et al (2021) considered the system with local reference frame, they synchronized the orientations of followers with the leader first, and then adopted bearing-only control law to solve the formation control problem of doubleintegrators without global reference coordinates.…”
Section: Introductionmentioning
confidence: 99%
“…For different agent models such as single integrators, double integrators and unicycles, Zhao et al (2019) designed a series of bearing-only control laws, which can enable followers to track leaders and reach the specified formation, and proved its stability by use of the standard Lyapunov method. Li et al (2021) solved the bearing-only formation control problem of the three-dimensional nonholonomic constraints system by transforming the three-dimensional nonholonomic model into Euler-Lagrange-like form and using the back-stepping design method. Zhao et al (2021) considered the system with local reference frame, they synchronized the orientations of followers with the leader first, and then adopted bearing-only control law to solve the formation control problem of doubleintegrators without global reference coordinates.…”
Section: Introductionmentioning
confidence: 99%
“…There are enormous and efficient researches on displacement-based distributed formation control methods with local and global convergence results [8][9][10][11]. However, in some applications, it is limited by the sensor capability such that we need to use the distances [5,[12][13][14] or bearings [2,[15][16][17] or both measurements [18][19][20][21][22] to achieve desired formation shapes. The challenging problem for distance-based methods is to achieve global stability of the desired formation due to the absence of an available common orientation sense.…”
Section: Introductionmentioning
confidence: 99%
“…Consensus is a basic requirement for coordinated control of distributed multiagent systems (MASs). It has witnessed remarkable progress due to its broad and potential applications in mobile robots, formation control of unmanned systems, and power systems, for example, References 1‐8 and the references therein. In a typical consensus design, each agent updates its controller by continuously measuring the states or outputs of its neighbors by a wireless network 9‐11 .…”
Section: Introductionmentioning
confidence: 99%