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Unknown input observers for uncertain systems: A unifying approach
(LavoisierCachanFrança, 1999)
Experimental validation of a continuous time MCSI algorithm with bounded adaptive gains
(2019)
The Franklin Institute Model reference adaptive control algorithms with minimal controller synthesis have proven to be an effective solution to tame the behaviour of linear systems subject to unknown or time-varying ...
Robust adaptive neurocontrol of SISO nonlinear systems preceded by unknown deadzone
(2012)
In this study, the problem of controlling an unknown SISO nonlinear system in Brunovsky canonical form with unknown deadzone input in such a way that the system output follows a specified bounded reference trajectory is ...
Robust adaptive neurocontrol of SISO nonlinear systems preceded by unknown deadzone
(2012)
In this study, the problem of controlling an unknown SISO nonlinear system in Brunovsky canonical form with unknown deadzone input in such a way that the system output follows a specified bounded reference trajectory is ...
Tracking control based on recurrent neural networks for nonlinear systems with multiple inputs and unknown deadzone
(2012)
This paper deals with the problem of trajectory tracking for a broad class of uncertain nonlinear systems with multiple inputs each one subject to an unknown symmetric deadzone. On the basis of a model of the deadzone as ...
Trajectory tracking of a wheeled mobile robot with uncertainties and disturbances: Proposed adaptive neural control
(2015-01-01)
This paper analyses a trajectory tracking control problem for a wheeled mobile robot, using integration of a kinematic neural controller (KNC) and a torque neural controller (TNC), in which both the kinematic and dynamic ...
Neural Adaptive quantized output-feedback control- based synchronization of uncertain time-delay incommensurate fractionalorder chaotic systems with input nonlinearities
research is concerned with the problem of generalized function projective
synchronization of nonlinear uncertain time-delay incommensurate fractional-order
chaotic systems with input nonlinearities. The considered problem ...
Robust adaptive neurocontrol of SISO nonlinear systems preceded by unknown deadzone
(2009)
Sphingomonas pituitosa excretes the capsular exopolysaccharide PS-EDIV into the culture broth augmenting considerably its fluid viscosity. Since this change particularly affects key processes like mixing and transport ...
Modelagem e controle de um microveículo aéreo: uma aplicação de estabilidade robusta com a técnica backstepping em uma estrutura hexarrotor
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2013-02-01)
In this Thesis, the development of the dynamic model of multirotor unmanned
aerial vehicle with vertical takeoff and landing characteristics, considering input
nonlinearities and a full state robust backstepping controller ...
TimeViewer, a tool for visualizing the problems of the background subtraction
(2012)
This paper deals with the problem of trajectory tracking for a broad class of uncertain nonlinear systems with multiple inputs each one subject to an unknown symmetric deadzone. On the basis of a model of the deadzone as ...