2018
DOI: 10.1109/tie.2017.2701777
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Sliding Mode Control for a Class of Nonlinear Multi-agent System With Time Delay and Uncertainties

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Cited by 91 publications
(47 citation statements)
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“…The main objective of this paper is to employ the method of sliding mode control to achieve this control objective due to its many advantages, such as simple design idea and good robustness [10,12]. There have been many results about the sliding control algorithms for PMLM in the literature, such as [13,19], and the most of control laws are based on the design of continuous-time SMC laws with asymptotical convergence.…”
Section: Description Of System Model and Control Objectivementioning
confidence: 99%
See 1 more Smart Citation
“…The main objective of this paper is to employ the method of sliding mode control to achieve this control objective due to its many advantages, such as simple design idea and good robustness [10,12]. There have been many results about the sliding control algorithms for PMLM in the literature, such as [13,19], and the most of control laws are based on the design of continuous-time SMC laws with asymptotical convergence.…”
Section: Description Of System Model and Control Objectivementioning
confidence: 99%
“…The sliding mode control algorithm is easy to use and makes the system state have a good robustness. In particular, even if the controlled systems are suffering from the uncertainty of parameters and external disturbances, SMC can theoretically determine the final tracking accuracy by constructing the reaching law and designing the sliding surface [10][11][12]. For example, in [13], an equivalent disturbance observer based on sliding mode control method and proportional-integral (PI) was proposed.…”
Section: Introductionmentioning
confidence: 99%
“…17 The cooperative tracking control of MNWMRs is widely viewed as the issue of consensus or formation tracking control of multi-agent systems (MASs). 22 Numerous consensus or formation protocols (or algorithms) have been proposed for MASs from various perspectives, with the analysis performed in the framework of Cartesian coordinates or polar coordinates. [23][24][25][26] In contrast to the Cartesian coordinates, the polar coordinate representation of NWMR is more often adopted to describe the collective rotating formation problem for a group of multi-agent dynamic systems, originating from many potential applications such as formation flight of satellites around the earth, circular mobile sensor networks, and spacecraft docking.…”
Section: Introductionmentioning
confidence: 99%
“…Unlike these control methods, the model-based control presented in this paper uses a modified statespace model which preserves the low frequency statespace variables dynamics, and allows to design a robust sliding mode control (SMC) in natural reference frame. The use of the SMC technique improves the tracking behaviour and dynamic performances, providing fast dynamic response with high robustness against system parameters variations [3], [4].…”
Section: Introductionmentioning
confidence: 99%