Buscar
Mostrando ítems 1-10 de 34
Smoothing switched control for uncertain T-S fuzzy systems with unknown membership functions, actuator saturation and disturbance
(Ieee, 2016-01-01)
This paper proposes conditions that ensure local ultimate bounded stability for nonlinear systems constrained to a region of operation, subject to actuator saturation and persistent norm-bounded disturbance. The nonlinear ...
Smoothing switched control for uncertain T-S fuzzy systems with unknown membership functions, actuator saturation and disturbance
(2016-11-07)
This paper proposes conditions that ensure local ultimate bounded stability for nonlinear systems constrained to a region of operation, subject to actuator saturation and persistent norm-bounded disturbance. The nonlinear ...
A proposed neural control for the trajectory tracking of a nonholonomic mobile robot with disturbances
(2012-10-25)
In this paper, a trajectory tracking control problem for a nonholonomic mobile robot by the integration of a kinematic neural controller (KNC) and a torque neural controller (TNC) is proposed, where both the kinematic and ...
A proposed neural control for the trajectory tracking of a nonholonomic mobile robot with disturbances
(2012-10-25)
In this paper, a trajectory tracking control problem for a nonholonomic mobile robot by the integration of a kinematic neural controller (KNC) and a torque neural controller (TNC) is proposed, where both the kinematic and ...
Continuous-time probabilistic ultimate bounds and invariant sets: Computation and assignment
(Pergamon-Elsevier Science Ltd, 2016-09)
The concepts of ultimate bounds and invariant sets play a key role in several control theory problems, as they replace the notion of asymptotic stability in the presence of unknown disturbances. However, when the disturbances ...
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 ...