title: Robust adaptive control for a class of uncertain nonlinear systems with time-varying delay.
abstract: We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay systems in a block-triangular form. Based on a neural controller, it is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, which efficiently avoids the controller singularity. The proposed control guarantees that all closed-loop signals remain bounded, while the output tracking error dynamics converge to a neighborhood of the desired trajectories. The simulation results demonstrate the effectiveness of the proposed control scheme.
authors.affiliation: Computer and Information Engineering College, Guangxi Teachers Education University, Nanning 530023, China. wrl@gxtc.edu.cn
authors.forename: Ruliang
authors.initials: R
authors.lastname: Wang
authors.forename: Jie
authors.initials: J
authors.lastname: Li
authors.forename: Shanshan
authors.initials: S
authors.lastname: Zhang
authors.forename: Dongmei
authors.initials: D
authors.lastname: Gao
authors.forename: Huanlong
authors.initials: H
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005246:Feedback; D015233:Models, Statistical; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics