Distributed adaptive practical time-varying tracking control for second-order nonlinear multi-agent system using neural networks

Practical formation‐containment tracking for multiple autonomous surface vessels system

“…The adaptive neural network‐based techniques have been introduced to the formation tracking issues [47] and containment issues [44, 48] to deal with the uncertainties, where the uncertainties and can be estimated and compensated by the adaptive neural networks. For the detailed design process of the formation‐containment tracking protocols in the contrast example, see [44, 47, 48]. The initial states are the same as the ones of the previous example.…”

Tracking control problem in multiagent systems with Lipschitz nonlinearities and external disturbances

“…In Dong et al (2017), tracking and formation control problems have been solved for a second order multiagent system in which interaction topology among agents was invariant. These problems have also been considered for second-order nonlinear multiagent systems utilizing neural networks in Yu et al (2017). In Gazi et al (2012), distributed continuous controllers have been proposed for single and multiple nonholonomic agents based on sliding mode control and artificial potential methods.…”

“…First, in contrast to distributed estimators of Olfati-Saber (2007), Zhu et al (2013), Hu and Hu (2010), Jenabzadeh et al (2017), Li et al (2016) and Chen et al (2017) and distributed controllers of Olfati-Saber (2006), Xie et al (2016), Dong et al (2017), Yu et al (2017), Gazi et al (2012), Ou et al (2012), Ou et al (2015), Yu and Liu (2017), Mondal and Su (2016), Shi et al (2016) and Chu and Zhang (2016), this paper considers both aspects of tracking control simultaneously that lead to obtain a DECA for MASLN.…”

Distributed tracking control problem of Lipschitz multi-agent systems with external disturbances and input delay

“…Therefore, it is important to consider the DTC algorithms of nonlinear multiagent systems. In Yu, Dong, et al (2017), a distributed control law has been proposed for second order nonlinear multiagent systems to cope with DTC problem. Li, Dong, and Nguang (2017) has studied the DTC problem for third order nonlinear multiagent systems and presented CONTACT Behrouz Safarinejadian safarinejad@sutech.ac.ir some algorithms for every agent to track a target with third order nonlinear dynamics.…”

“…• Compared with the distributed control laws of Yu, Dong, et al (2017), Li, Dong, et al (2017), Li 2015 (2018) can estimate the states of some limited targets with some special constraints or with discrete dynamics. • A DTC algorithm is suggested for multiagent systems with Lipschitz nonlinear dynamics that can be used for many practical multiagent systems, whereas the results of Olfati-Saber and Jalalkamali (2012), Su et al (2016) and Su et al (2017) are limited to linear multiagent systems that cannot be applied to nonlinear multiagent systems.…”