Adaptive control of systems with backlash
Automatica (Journal of IFAC)
A deadzone compensator of a DC motor system using fuzzy logic control
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Robust adaptive control of a class of nonlinear systems with unknown dead-zone
Automatica (Journal of IFAC)
Adaptive fuzzy dead-zone control for unknown nonlinear systems
ACC'09 Proceedings of the 2009 conference on American Control Conference
Automatica (Journal of IFAC)
Simultaneous state and dead-zone parameter estimation using high-gain observers
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Sliding Mode Control with Adaptive Fuzzy Dead-Zone Compensation of an Electro-hydraulic Servo-System
Journal of Intelligent and Robotic Systems
International Journal of Automation and Computing
Evolving intelligent system for the modelling of nonlinear systems with dead-zone input
Applied Soft Computing
Hi-index | 22.15 |
Quite successfully adaptive control strategies have been applied to uncertain dynamical systems subject to dead-zone nonlinearities. However, adaptive tracking of systems with non-symmetric dead-zone characteristics has not been fully discussed with minimal knowledge of the dead-zone parameters. It is shown that the controlled system preceded by a non-symmetric dead-zone input can be represented as an uncertain nonlinear system subject to a linear input with time-varying input coefficient. To cope with this problem, a new adaptive compensation algorithm is employed without constructing the dead-zone inverse. The proposed adaptive scheme requires only the information of bounds of the dead-zone slopes and treats the time-varying input coefficient as a system uncertainty. The new control scheme ensures bounded-error trajectory tracking and assures the boundedness of all the signals in the adaptive closed loop. By appropriate selections of the controller parameters, we show that the smoothness of the controller does not affect the accuracy of trajectory tracking control. A numerical example is included to show the effectiveness of the theoretical results.