2021
DOI: 10.1109/tsmc.2019.2944539
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Cooperative Moving-Target Enclosing Control for Multiple Nonholonomic Vehicles Using Feedback Linearization Approach

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Cited by 47 publications
(19 citation statements)
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“…Some researchers turn to investigate deriving a single controller that is capable of realizing both formation tracking and formation stabilization. [23][24][25][26][27][28][29][30][31] In Reference 23, the authors construct a particular time-varying function to provide certain persistency of excitation for formation stabilization task, which can adapt to the formation tracking mission without any switching. The cascade-based control law reported in Reference 24 establishes uniform global asymptotic convergence of the formation errors no matter the leader is always moving or converging to some constant values.…”
Section: Introductionmentioning
confidence: 99%
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“…Some researchers turn to investigate deriving a single controller that is capable of realizing both formation tracking and formation stabilization. [23][24][25][26][27][28][29][30][31] In Reference 23, the authors construct a particular time-varying function to provide certain persistency of excitation for formation stabilization task, which can adapt to the formation tracking mission without any switching. The cascade-based control law reported in Reference 24 establishes uniform global asymptotic convergence of the formation errors no matter the leader is always moving or converging to some constant values.…”
Section: Introductionmentioning
confidence: 99%
“…Via shifting the interaction coordinate from body center to a point ahead termed as "hand position," one can use the feedback linearization method during the control design. [25][26][27][28][29] Though the obtained linear form is easy for control design, these results do not control the robot's orientation that performs as zero dynamics and requires additional efforts to analyze its stability. Without any PE condition imposed on the leader, the literature 29,30 follows the framework termed as transverse function approach of Reference 32 and achieve global ultimate boundedness of the formation errors; see also Reference 31.…”
Section: Introductionmentioning
confidence: 99%
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