Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping approach
Fuzzy Sets and Systems
Information Sciences: an International Journal
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Robust adaptive control of nonlinear systems with unknown time delays
Automatica (Journal of IFAC)
International Journal of Automation and Computing
International Journal of Automation and Computing
Information Sciences: an International Journal
A discretization method for nonlinear delayed non-affine systems
International Journal of Automation and Computing
International Journal of Automation and Computing
Globally asymptotic stabilization for nonlinear time-delay systems with ISS inverse dynamics
International Journal of Automation and Computing
Sensor faults observer design with H∞ performance for non-linear T-S systems
International Journal of Automation and Computing
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In this paper, a new adaptive fuzzy backstepping control approach is developed for a class of nonlinear systems with unknown time-delay and unmeasured states. Using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy state observer is designed for estimating the unmeasured states. On the basis of the state observer and applying the backstepping technique, an adaptive fuzzy observer control approach is developed. The main features of the proposed adaptive fuzzy control approach not only guarantees that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded, but also contain less adaptation parameters to be updated on-line. Finally, simulation results are provided to show the effectiveness of the proposed approach.