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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 ...
Fractional adaptive systems in the presence of bounded disturbances and parameter variations
(Wiley, 2017)
This paper presents the analysis of fractional adaptive systems in the presence of bounded disturbances and parameter variations. Fractional adaptive systems are analyzed using the error model approach, to give generality ...
Design and implementation of adaptive NeuralPID for non linear dynamics in mobile robots
(Institute Of Electrical And Electronics Engineers, 2015-04)
In this work, it will be reported original results concerning the application of PID Adaptive Neural controller in mobile robot in trajectory tracking control. In this control strategy the exact dynamical model of the robot ...
Study of meta-heuristic algorithms in the optimization of adaptive control of mechatronic systems
(2019-11-25)
RESUMEN: Las incertidumbres paramétricas son comportamientos no deseados y algunas veces impredecibles de los parámetros de los sistemas mecatrónicos. Las incertidumbres son responsables de disminuir el rendimiento en el ...
Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID
(Springer, 2014-12)
In this work, original results, concerning the application of a discrete-time adaptive PID neural controller in mobile robots for trajectory tracking control, are reported. In this control strategy, the exact dynamical ...
Información General: Grupo Control
(SABER ULA, 2006)
Design of a supervisory predictive controller based on fuzzy models
(IEEE, 2001)
In this paper, a supervisory optimal control problem is presented. Fuzzy modelling is used to represent the non-linearity of the process and two alternative fuzzy predictors are described in order to solve the optimisation ...