Distributed adaptive containment control for second-order multi-agent systems via NTSM

Zhao, Lin; Jia, Yingmin

doi:10.1016/j.jfranklin.2015.09.009

Cited by 19 publications

(10 citation statements)

References 35 publications

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“…Multi-agent systems has recently gotten to be an inclusive subject due to its wide requests in many areas, such as power systems, unmanned air vehicles, sensor networks, smart grids, biological systems, robotic teams, formation control, etc. Li et al, 2011;Ma et al, 2015;Qin et al, 2014;Zhao et al, 2014;Zhao & Jia, 2015;Zhao & Jia, 2016). For getting an overall goal in multi-agent systems, the use of cooperative control is essential and the key idea is to design the distributed controllers on each agent by means of its local neighbouring information.…”

Section: Introductionmentioning

confidence: 99%

Leader–follower consensus control for a nonlinear multi-agent robot system with input saturation and external disturbance

Naserian

Ramazani

Khaki‐Sedigh

et al. 2021

Systems Science & Control Engineering

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This paper addresses the leader-follower consensus control problem for a nonlinear multi-agent robot system with control input constraint and external disturbances. Robot system is one of the most important practical systems in the industry. Due to the presence of disturbances in most practical systems, this paper considers the issue of finite-time leader-follower consensus control of the nonlinear multi-agent robot system along with actuator saturation and bounded disturbance. The modified terminal sliding mode control method is suggested for the system which is able to guarantee the stability of the overall system and fast finite-time leader-follower consensus control. For two different scenarios, the simulation of multi-agent robot system has been performed. The results show the effectiveness of the proposed control method.

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Section: Introductionmentioning

confidence: 99%

Leader–follower consensus control for a nonlinear multi-agent robot system with input saturation and external disturbance

Naserian

Ramazani

Khaki‐Sedigh

et al. 2021

Systems Science & Control Engineering

View full text Add to dashboard Cite

show abstract

“…Cooperative control in multi-agent systems has recently become an inclusive subject due to its wide requests in numerous areas such as power systems, unmanned air vehicles, sensor networks, smart grids, biological systems, robotic teams, formation control, etc. (Du et al, 2014;Li et al, 2011;Ma et al, 2013Ma et al, , 2016Qin et al, 2014;Wen et al, 2013;Zhao et al, 2014;Zhao & Jia, 2015. For obtaining an overall goal, the key idea for cooperative control in multi-agent systems is to design the distributed controllers on each agent by means of its local neighbouring information.…”

Section: Introductionmentioning

confidence: 99%

Fast terminal sliding mode control for a nonlinear multi-agent robot system with disturbance

Naserian

Ramazani

Khaki‐Sedigh

et al. 2020

Systems Science & Control Engineering

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This paper addresses the consensus control problem for a nonlinear multi-agent robot system in the presence of external disturbances. Robot system is one of the most important practical systems in the industry. Because of the presence of disturbances in most practical systems, this paper considers the issue of finite-time consensus control of the nonlinear multi-agent robot system in the presence of unknown bounded disturbance. The modified terminal sliding mode control method is suggested for the system which is able to guarantee the stability of the overall system and fast finite-time consensus control purpose. In two different scenarios, the simulation of multi-agent robot system has been performed. The results show the effectiveness of the proposed control method on the multi-agent robot system.

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“…The multiple‐leader tracking problem is called the containment control problem, which demands all followers to enter the convex hull formed by the multiple leaders. Recently, an increasing interest has been witnessed in distributed containment control of MASs, in which the followers have first‐order integrators, second‐order integrators, or high‐order linear equations . Moreover, Yoo and Wang et al considered the containment problem that the multiple followers have mismatched uncertain nonlinear dynamics, respectively.…”

Section: Introductionmentioning

confidence: 99%

Neuroadaptive containment control of nonlinear multiagent systems with input saturations

Zhao

et al. 2019

Intl J Robust & Nonlinear

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Summary This paper investigates the output containment tracking problem of nonlinear multiagent systems with mismatched uncertain dynamics and input saturations. A neural network–based distributed adaptive command filtered backstepping (CFB) scheme is given, which can guarantee that the containment tracking errors reach to the desired neighborhood of origin and all signals in the closed‐loop system are bounded. Note that error compensation system and virtual control laws established in CFB only use local information, so the given scheme is completely distributed. Moreover, the applied sliding mode differentiator (SMD) can make the outputs of SMD fast approximate the virtual signal and its derivative at each step of backstepping, which can further improve the control quality. Finally, a simulation example is given to show the effectiveness of the proposed scheme.

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Distributed adaptive containment control for second-order multi-agent systems via NTSM

Cited by 19 publications

References 35 publications

Leader–follower consensus control for a nonlinear multi-agent robot system with input saturation and external disturbance

Leader–follower consensus control for a nonlinear multi-agent robot system with input saturation and external disturbance

Fast terminal sliding mode control for a nonlinear multi-agent robot system with disturbance

Neuroadaptive containment control of nonlinear multiagent systems with input saturations

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