title: Nonlinear adaptive control of interconnected systems using neural networks.
abstract: In this letter, we solve the problem of decentralized adaptive asymptotic tracking for a class of large scale systems with significant nonlinearities and uncertainties. Neural networks (NNs) are used as a control part to cancel the effect of the unknown nonlinearity. Semiglobal asymptotic stability results are obtained and the tracking error converges to zero.
authors.forename: S N
authors.initials: SN
authors.lastname: Huang
authors.forename: K K
authors.initials: KK
authors.lastname: Tan
authors.forename: T H
authors.initials: TH
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D016014:Linear Models; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology; D010363:Pattern Recognition, Automated; D012880:Skin Pigmentation; D013569:Synapses / Q000502:physiology