In this study, with respect to certain second-order robotic systems with dead zones, a fuzzy adaptive variable structure controller (VSC) is implemented. Some suitable adaptive fuzzy systems are used to estimate uncertain functions. Based on Lyapunov stability theorems, parameter adaptive laws are designed, and it is proven that all signals involved will remain bounded and the stability of the controlled system is also guaranteed. Our controller is effective for the system with or without sector nonlinearity. Finally, a simulation example is presented to illustrate the correctness of the theoretical derivation
An Model Reference Adaptive Fuzzy Control, MRAFC, scheme for manipulator control is proposed to inco...
Combining adaptive fuzzy sliding mode control with fuzzy or variable universe fuzzy switching techni...
In this paper, we revise an adaptive fuzzy sliding mode control algorithm applied to a robotic manip...
ii In this thesis, a robust adaptive fuzzy control scheme is proposed for a class of uncertain nonli...
A robust adaptive kinematic control strategy, based on the methodology of variable structure control...
International audienceIn this paper, a fuzzy adaptive variable-structure controller is investigated ...
The dead-zone is one of the most common hard nonlinearities in industrial actuators and its presence...
This paper designs a kind of adaptive fuzzy controller for robotic manipulator considering external ...
International audienceIn this paper, a novel adaptive fuzzy variable-structure control approach is p...
An adaptive control strategy based on a fuzzy logic system by introducing a nonzero time-varying par...
A novel fuzzy control scheme with adaptation algorithms is developed for robot manipulators’ system....
In this thesis, fuzzy modelling of a class of nonlinear systems has been investigated based on fuzz...
The dead-zone is one of the most common hard nonlinearities in industrial actuators and its presence...
This paper develops a new robust tracking control design for n-link robot manipulators with dynamic ...
International audienceThis paper presents three fuzzy adaptive controllers for a class of uncertain ...
An Model Reference Adaptive Fuzzy Control, MRAFC, scheme for manipulator control is proposed to inco...
Combining adaptive fuzzy sliding mode control with fuzzy or variable universe fuzzy switching techni...
In this paper, we revise an adaptive fuzzy sliding mode control algorithm applied to a robotic manip...
ii In this thesis, a robust adaptive fuzzy control scheme is proposed for a class of uncertain nonli...
A robust adaptive kinematic control strategy, based on the methodology of variable structure control...
International audienceIn this paper, a fuzzy adaptive variable-structure controller is investigated ...
The dead-zone is one of the most common hard nonlinearities in industrial actuators and its presence...
This paper designs a kind of adaptive fuzzy controller for robotic manipulator considering external ...
International audienceIn this paper, a novel adaptive fuzzy variable-structure control approach is p...
An adaptive control strategy based on a fuzzy logic system by introducing a nonzero time-varying par...
A novel fuzzy control scheme with adaptation algorithms is developed for robot manipulators’ system....
In this thesis, fuzzy modelling of a class of nonlinear systems has been investigated based on fuzz...
The dead-zone is one of the most common hard nonlinearities in industrial actuators and its presence...
This paper develops a new robust tracking control design for n-link robot manipulators with dynamic ...
International audienceThis paper presents three fuzzy adaptive controllers for a class of uncertain ...
An Model Reference Adaptive Fuzzy Control, MRAFC, scheme for manipulator control is proposed to inco...
Combining adaptive fuzzy sliding mode control with fuzzy or variable universe fuzzy switching techni...
In this paper, we revise an adaptive fuzzy sliding mode control algorithm applied to a robotic manip...