TL;DR
This work examines the state estimation of fuzzy control systems subject to disturbances, particularly perturbations bounded by a Hölderian continuous function, and solves the observer design problem using the Takagi–Sugeno (T–S) fuzzy approach with specific restrictions on the nonlinearities.
This paper addresses adaptive fuzzy tracking control for fractional-order nonlinear systems (FONSs) subject to asymmetric state constraints without imposing separate feasibility conditions on intermediate virtual controllers. Fuzzy logic systems are used to approximate the unknown nonlinear functions. By exploiting the...
This paper presents an approach to design a dynamic observer (DO), ensuring the robust state estimation for a broad family of uncertain nonlinear systems under unknown inputs and disturbances. Toward this objective, it initially introduces the error variable to obtain the state-space model of estimation error. Then, by...
A practical finite-time adaptive fuzzy tracking controller is constructed, which guarantees the semi-global practical finite-time stability of the closed-loop system, with all closed-loop signals remaining bounded for all time and the tracking error converging to a residual set within finite time.
This article addresses the problem of asynchronous interval estimation for switched Takagi–Sugeno fuzzy systems subject to unknown‐but‐bounded and asymmetric uncertainties. Unlike traditional zonotopic estimation methods, a high‐precision and more general estimation scheme based on constrained zonotopes is developed...
Through rigorous mathematical analysis and numerical simulations, it can be concluded that the proposed control scheme can not only drive all system variables to converge to steady states within a prescribed time in probability, but also make the output track the desired signal without violating the output constraint.
This study presents a novel approach to reduce pressure ripples in electric power (EP) steering systems by proposing a quantized sampled-data controller (QSDC) based on the Takagi-Sugeno (T-S) fuzzy-model approach for finite-time extended dissipative analysis. With special consideration of the influence of velocity on...
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