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Journal ArticleDOI

Fuzzy Adaptive Finite-Time Fault-Tolerant Control for Strict-Feedback Nonlinear Systems

TLDR
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-feedback nonlinear systems with nonaffine nonlinear faults by adopting the dynamic surface control technique.
Abstract
This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is reduced by adopting the dynamic surface control technique. Under the framework of finite-time stability, a novel fault-tolerant control strategy is designed so that the closed-loop system is semiglobally practically finite-time stable, and the tracking error converges to a small residual set in a finite time. Finally, simulation studies for an electromechanical system are shown to verify the feasibility of the presented approach.

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Citations
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Journal ArticleDOI

A new adaptive synchronization and hyperchaos control of a biological snap oscillator

TL;DR: This paper mainly study the chaos control and synchronization of a hyperchaotic model in both the frameworks of classical and fractional calculus, respectively, and applies a linear state-feedback controller as well as an active control scheme to control hyperchaos and achieve synchronization.
Journal ArticleDOI

Event-Trigger-Based Finite-Time Fuzzy Adaptive Control for Stochastic Nonlinear System With Unmodeled Dynamics

TL;DR: The semi-global finite-time stability in probability of the closed-loop system is proved based on an It$\hat{\text{o}}$ differential equation and finite- time stability theory.
Journal ArticleDOI

Fuzzy Control and Filtering for Nonlinear Singularly Perturbed Markov Jump Systems

TL;DR: The closed-loop system is transformed into a fuzzy piecewise-homogeneous Markov jump singularly perturbed descriptor system (MJSPDS) by descriptor representation and a rigorous proof of mean-square exponential admissibility for the resulting fuzzy MJSPDS is presented.
Journal ArticleDOI

Neural-Network Approximation-Based Adaptive Periodic Event-Triggered Output-Feedback Control of Switched Nonlinear Systems

TL;DR: A new output-feedback adaptive NN PETC strategy is developed to reduce the usage of communication resources and includes a controller that only uses event-sampling information and an event-triggering mechanism that is only intermittently monitored at sampling instants.
Journal ArticleDOI

Solution of a COVID-19 model via new generalized Caputo-type fractional derivatives

TL;DR: The present study can confirm the applicability of the new generalized Caputo type fractional operator to mathematical epidemiology or real-world problems.
References
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Journal ArticleDOI

A Survey on Analysis and Design of Model-Based Fuzzy Control Systems

TL;DR: A survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems based on the so-called Takagi-Sugeno fuzzy models or fuzzy dynamic models.
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Stable adaptive fuzzy control of nonlinear systems

TL;DR: A direct adaptive fuzzy controller that does not require an accurate mathematical model of the system under control, is capable of incorporating fuzzy if-then control rules directly into the controllers, and guarantees the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded is developed.
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Continuous finite-time stabilization of the translational and rotational double integrators

TL;DR: A class of bounded continuous time-invariant finite-time stabilizing feedback laws is given for the double integrator because Lyapunov theory is used to prove finite- time convergence.
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Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance

TL;DR: Two new robust adaptive control algorithms are developed by introducing a well defined smooth function and using a Nussbaum function to compensate for the nonlinear term arising from the input saturation.
Journal ArticleDOI

Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems

TL;DR: Two theorems are provided to show that all the signals in the closed-loop system are bounded, the outputs are driven to follow the reference signals and all the states are ensured to remain in the predefined compact sets.
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