Indirect adaptive fuzzy sliding mode control: Part I: fuzzy switching
Fuzzy Sets and Systems
Fuzzy sliding mode control for a class of non-linear continuous systems
International Journal of Computer Applications in Technology
Intelligent adaptive control for MIMO uncertain nonlinear systems
Expert Systems with Applications: An International Journal
Stable adaptive fuzzy control of nonlinear systems
IEEE Transactions on Fuzzy Systems
Brief Robust tracking control for nonlinear MIMO systems via fuzzy approaches
Automatica (Journal of IFAC)
State observer design for nonlinear systems using neural network
Applied Soft Computing
Adaptive PI Hermite neural control for MIMO uncertain nonlinear systems
Applied Soft Computing
| Hi-index | 0.00 |
In this paper, a stable adaptive fuzzy sliding mode based tracking control is developed for a class of nonlinear MIMO systems that are represented by input output models involving system uncertainties and external disturbances. The main contribution of the proposed method is that the structure of the controller system is partially unknown and does not require the bounds of uncertainties and disturbance to be known. First, a fuzzy logic system is designed to estimate the unknown function. Secondly, in order to eliminate the chattering phenomenon brought by the conventional variable structure control, the signum function is replaced by an adaptive Proportional Derivative (PD) term in the proposed approach. All parameter adaptive laws and robustifying control terms are derived based on Lyapunov stability analysis, so that convergence to zero of tracking errors and boudedness of all signals in the closed-loop system can be guaranteed. Finally, a mass-spring-damper system is simulated to demonstrate the validity and the effectiveness of the proposed controller.