Report Summarizes Neural Networks and Learning Systems Study Findings from Liaoning University of Technology (Adaptive Neural Consensus Tracking Control for Nonlinear Multiagent Systems Using Integral Barrier Lyapunov Functionals)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Fresh data on Networks - Neural Networks and Learning Systems are presented in a new report. According to news originating from Liaoning, People’s Republic of China, by NewsRx correspondents, research stated, “This article presents the adaptive tracking control scheme of nonlinear multiagent systems under a directed graph and state constraints. In this article, the integral barrier Lyapunov functionals (iBLFs) are introduced to overcome the conservative limitation of the barrier Lyapunov function with error variables, relax the feasibility conditions, and simultaneously solve state constrained and coupling terms of the communication errors between agents.”