Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

Pinning synchronization for directed networks with node balance via adaptive intermittent control

“…Besides, it is well known that communication delays are ubiquitous in networks due to the finite speeds of transmission and traffic congestions, which has been considered in recent works such as [7,11,12,30,32,[43][44][45][46][47]. However, to the best of our knowledge, there are few results concerning the synchronization and consensus for time-varying networks and delayed complex networks by using adaptive intermittent control.…”

Sliding Surface in Consensus Problem of Multi-Agent Rigid Manipulators with Neural Network Controller

“…Consequently, to improve the control quality, in this research, we define an artificial neural network for the purposes of compensation in (6).…”

“…In this research, in order to model the communication topology between agents, the graph theory in [6,15] is utilized. For each agent, the nonlinear dynamic model with uncertainty is considered.…”

Distributed state estimation for linear multi-agent systems with time-varying measurement topology

“…On the subject of decentralized and distributed state estimation, interesting approaches can be found in works such as Barooah (2007), Sousa, Oliveira, and Gaspar (2009), and Yuan and Tanner (2010). The closely related area of distributed control has also seen a wealth of relevant solutions, such as those in Chen, Wen, Liu, and Wang (2014), Fax (2002), and Tanner and Christodoulakis (2007), and recent work on the subject of quadratic invariance has offered optimal solutions for certain classes of measurement topologies, see e.g. Lessard and Lall (2011) and Rokowitz (2008).…”