Novel neural network fractional-order sliding-mode control with application to active power filter
J Fei, H Wang, Y Fang - IEEE transactions on systems, man …, 2021 - ieeexplore.ieee.org
In this article, a fractional-order sliding-mode control scheme based on a two-hidden-layer
recurrent neural network (THLRNN) is proposed for a single-phase shunt active power filter …
recurrent neural network (THLRNN) is proposed for a single-phase shunt active power filter …
Decentralized adaptive neuro-output feedback saturated control for INS and its application to AUV
G Zong, H Sun, SK Nguang - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
This article investigates the problem of the decentralized adaptive output feedback saturated
control problem for interconnected nonlinear systems with strong interconnections. A …
control problem for interconnected nonlinear systems with strong interconnections. A …
Composite anti-disturbance resilient control for Markovian jump nonlinear systems with general uncertain transition rate
In this paper, the issue of disturbance observer based resilient control is addressed for
Markovian jump nonlinear systems with multiple disturbances and general uncertain …
Markovian jump nonlinear systems with multiple disturbances and general uncertain …
Disturbance attenuation and rejection for stochastic Markovian jump system with partially known transition probabilities
In this paper, the problem of disturbance attenuation and rejection is investigated for
stochastic Markovian jump system with multiple disturbances, which include white noises …
stochastic Markovian jump system with multiple disturbances, which include white noises …
Observer-based fuzzy adaptive stabilization of uncertain switched stochastic nonlinear systems with input quantization
This paper proposes an observer-based fuzzy adaptive output feedback control scheme for
a class of uncertain single-input and single-output (SISO) nonlinear stochastic systems with …
a class of uncertain single-input and single-output (SISO) nonlinear stochastic systems with …
Composite disturbance filtering: A novel state estimation scheme for systems with multi-source, heterogeneous, and isomeric disturbances
State estimation has long been a fundamental problem in signal processing and control
areas. The main challenge is to design filters with ability to reject or attenuate various …
areas. The main challenge is to design filters with ability to reject or attenuate various …
Fixed-time velocity-free sliding mode tracking control for marine surface vessels with uncertainties and unknown actuator faults
In this paper, a novel fixed-time fault-tolerant control scheme is proposed for trajectory
tracking of marine surface vessels (MSVs). A fixed-time extended state observer (FXESO) is …
tracking of marine surface vessels (MSVs). A fixed-time extended state observer (FXESO) is …
Adaptive decentralized neural network tracking control for uncertain interconnected nonlinear systems with input quantization and time delay
This study investigates the problem of adaptive decentralized tracking control for a class of
interconnected nonlinear systems with input quantization, unknown function, and time-delay …
interconnected nonlinear systems with input quantization, unknown function, and time-delay …
Disturbance-observer-based fault tolerant control of high-speed trains: A Markovian jump system model approach
This paper addresses the fault tolerant control problem for high-speed trains in case of
multiple possible failures. A new multiple point-mass model with system faults is built based …
multiple possible failures. A new multiple point-mass model with system faults is built based …
Robust synchronization for under-actuated vessels based on disturbance observer
This work focuses on the robust leader-follower synchronization navigation for the under-
actuated vessels with only independent the surge control force and the yaw moment. The …
actuated vessels with only independent the surge control force and the yaw moment. The …