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Discrete-time neuroadaptive control using dynamic state feedback with application to vehicle motion control for intelligent vehicle highway systems

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dc.contributor.author Fernando, WUN
dc.contributor.author Kumarawadu, S
dc.date.accessioned 2013-10-21T02:28:28Z
dc.date.available 2013-10-21T02:28:28Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/8473
dc.description.abstract Discrete time neuro-compensated dynamic state feedback control system for lateral and longitudinal control of intelligent vehicle highway systems (IVHS) is developed. A discrete time counterpart of the continuous time non-linear IHVS model is obtained in state-space form and the controller is analysed in three stages, with and without compensation mechanisms resulting in an implementation from low to high complexity. Gain parameters of the dynamic state feedback control are optimised with respect to a minimisation of a linear quadratic cost function. The weight convergence of the neuro-compensation algorithm is established in discrete time Lyapunov sense via a graphical method. The performance enhancement of each design stage of the controller is presented and compared with the aid of computer simulations.
dc.language en
dc.subject NEURAL-NETWORKS
dc.subject NONLINEAR-SYSTEMS
dc.title Discrete-time neuroadaptive control using dynamic state feedback with application to vehicle motion control for intelligent vehicle highway systems
dc.type Article-Abstract
dc.identifier.year 2010
dc.identifier.journal IET CONTROL THEORY AND APPLICATIONS
dc.identifier.issue 8
dc.identifier.volume 4
dc.identifier.pgnos 1465-1477


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