An event-triggered predefined time decentralized output feedback fuzzy adaptive control method for interconnected systems

H Xu, D Yu, S Sui, CLP Chen - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
This article investigates the event-triggered predefined time output feedback control design
problem for nonlinear interconnected systems with nonstrict feedback control structures …

Practically predefined-time adaptive fuzzy tracking control for nonlinear stochastic systems

T Zhang, SF Su, W Wei, RH Yeh - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article addresses the practically predefined-time adaptive fuzzy tracking control
problem of strict-feedback nonlinear stochastic systems, where the system under …

Practically predefined-time adaptive fuzzy quantized control for nonlinear stochastic systems with actuator dead zone

T Zhang, R Bai, Y Li - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
This article focuses on the practically predefined-time adaptive fuzzy quantized control for
nonlinear stochastic systems with actuator dead zone. Fuzzy logic systems are employed to …

Fixed-time fuzzy vibration reduction for stochastic MEMS gyroscopes with low communication resources

Y **a, K **ao, Y Yao, Z Geng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The microelectromechanical system (MEMS) gyroscope is a complex nonlinear system with
multiple variables, strong coupling, and susceptibility to stochastic disturbances. This article …

Fixed-time stabilization of output-constrained stochastic high-order nonlinear systems

R **e, S Xu - Science China Information Sciences, 2024 - Springer
In this study, the fixed-time stabilization problem of stochastic high-order nonlinear systems
with output constraint and high-order and low-order nonlinearities is addressed. A new …

Adaptive neural network control for a class of fractional-order nonstrict-feedback nonlinear systems with full-state constraints and input saturation

C Wang, L Cui, M Liang, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article addresses an adaptive neural network (NN) constraint control scheme for a class
of fractional-order uncertain nonlinear nonstrict-feedback systems with full-state constraints …

Adaptive fuzzy echo state network control of fractional-order large-scale nonlinear systems with time-varying deferred constraints

Q Wang, Y Pan, J Cao, H Liu - IEEE Transactions on Fuzzy …, 2023 - ieeexplore.ieee.org
In the traditional constrained control of nonlinear systems, the controller design usually
requires that the initial value of the system meets certain strict conditions, and generally only …

Event-based adaptive fuzzy control for stochastic nonlinear systems with prescribed performance

Y **a, K **ao, Z Geng - Chaos, Solitons & Fractals, 2024 - Elsevier
This paper presents an event-based prescribed adaptive fuzzy control scheme for stochastic
nonlinear systems. Unlike most existing prescribed performance control schemes, the …

Fixed-Time command filter fuzzy adaptive formation control for nonholonomic multirobot systems with unknown dead-zones

Y Li, S Dong, K Li - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
In this paper, the problem of fuzzy adaptive fixed-time formation control is studied for
nonholonomic multirobot systems (NMRSs) subject to unknown dead-zones and multiple …

Fixed-time Lyapunov criteria and state-feedback controller design for stochastic nonlinear systems

H Min, S Xu, B Zhang, Q Ma… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
This paper investigates the fixed-time stability theorem and state-feedback controller design
for stochastic nonlinear systems. We propose an improved fixed-time Lyapunov theorem …