Adaptive nonlinear control without overparametrization
Systems & Control Letters
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
A Lyapunov formulation of the nonlinear small-gain theorem for interconnected ISS systems
Automatica (Journal of IFAC)
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping approach
Fuzzy Sets and Systems
International Journal of Applied Mathematics and Computer Science - Special Section: Robot Control Theory Cezary Zielinski
International Journal of Applied Mathematics and Computer Science
Information Sciences: an International Journal
H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach
IEEE Transactions on Fuzzy Systems
Design of Robust Adaptive Controllers for Nonlinear Systems with Dynamic Uncertainties
Automatica (Journal of IFAC)
Brief A combined backstepping and small-gain approach to adaptive output feedback control
Automatica (Journal of IFAC)
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In this paper, an adaptive fuzzy robust output feedback control approach is proposed for a class of single input single output (SISO) strict-feedback nonlinear systems without measurements of states. The nonlinear systems addressed in this paper are assumed to possess unstructured uncertainties, unmodeled dynamics and dynamic disturbances, where the unstructured uncertainties are not linearly parameterized, and no prior knowledge of their bounds is available. In recursive design, fuzzy logic systems are used to approximate unstructured uncertainties, and K-filters are designed to estimate unmeasured states. By combining backstepping design and a small-gain theorem, a stable adaptive fuzzy output feedback control scheme is developed. It is proven that the proposed adaptive fuzzy control approach can guarantee the all the signals in the closed-loop system are uniformly ultimately bounded, and the output of the controlled system converges to a small neighborhood of the origin. The effectiveness of the proposed approach is illustrated by a simulation example and some comparisons.