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This paper concerned with the adaptive tracking control problem of an adaptive model-based fuzzy-neural networks (FNNs) sliding mode control (AFSMC) scheme for a class of nonlinear systems, which are represented by Takagi-Sugeno (T-S) fuzzy model to express a nonlinear systems model. Then, an adaptive parameter estimator is proposed to estimate the unknown nonlinear system parameters. Considering...
A cross-coupled architecture incorporating adaptive fuzzy moving sliding mode control (AFMSMC) is proposed to improve the effects of the mechanical coupling over synchronous and tracking errors in a three-axis gantry stage. We utilize the indirect and direct adaptive fuzzy sliding mode control schemes with the time-varying surface to approximate the each unknown servo-motor system of gantry stage...
In this paper, synchronization of fuzzy modeling chaotic time delay memristor-based Chua’s circuits is presented. Based on T–S fuzzy models, not only fuzzy model of the time delay memristor-based Chua’ circuit is constructed but the fuzzy control vector can also be derived to synchronize two different time delay memristor-based Chua’s circuits. Due to the dynamical behavior with complex transient...
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