Integral barrier Lyapunov function-based adaptive control for switched nonlinear systems
This paper presents an adaptive control method for a class of uncertain strict-feedback
switched nonlinear systems. First, we consider the constraint characteristics in the switched …
switched nonlinear systems. First, we consider the constraint characteristics in the switched …
A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network
Deep learning networks have been recently utilized for fault detection and diagnosis (FDD)
due to its effectiveness in handling industrial process data, which are often with high …
due to its effectiveness in handling industrial process data, which are often with high …
Adaptive fuzzy practical fixed-time tracking control of nonlinear systems
This article investigates an adaptive practical fixed-time control strategy for the output
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstep** …
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstep** …
Adaptive neural network control of a flexible spacecraft subject to input nonlinearity and asymmetric output constraint
This article focuses on the vibration reducing and angle tracking problems of a flexible
unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and …
unmanned spacecraft system subject to input nonlinearity, asymmetric output constraint, and …
Adaptive event-triggered fault detection scheme for semi-Markovian jump systems with output quantization
This paper examines the adaptive event-triggered fault detection problem of semi-Markovian
jump systems (S-MJSs) with output quantization. First, we develop an adaptive event …
jump systems (S-MJSs) with output quantization. First, we develop an adaptive event …
Barrier Lyapunov function-based adaptive fuzzy FTC for switched systems and its applications to resistance–inductance–capacitance circuit system
In this article, the adaptive fault-tolerant control (FTC) problem is solved for a switched
resistance–inductance–capacitance (RLC) circuit system. Due to the existence of faults …
resistance–inductance–capacitance (RLC) circuit system. Due to the existence of faults …
Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence
Disturbances are inevitably found in almost every system and, if not rejected, they could
jeopardize the effectiveness of control methods. Thereby, employing state-of-the-art …
jeopardize the effectiveness of control methods. Thereby, employing state-of-the-art …
Neural-based decentralized adaptive finite-time control for nonlinear large-scale systems with time-varying output constraints
This paper addresses the adaptive finite-time decentralized control problem for time-varying
output-constrained nonlinear large-scale systems preceded by input saturation. The …
output-constrained nonlinear large-scale systems preceded by input saturation. The …
Adaptive neural-network-based fault-tolerant control for a flexible string with composite disturbance observer and input constraints
Z Zhao, Y Ren, C Mu, T Zou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We propose an adaptive neural-network-based fault-tolerant control scheme for a flexible
string considering the input constraint, actuator gain fault, and external disturbances. First …
string considering the input constraint, actuator gain fault, and external disturbances. First …
Reduced-order observer-based dynamic event-triggered adaptive NN control for stochastic nonlinear systems subject to unknown input saturation
L Wang, CLP Chen - IEEE Transactions on Neural Networks …, 2020 - ieeexplore.ieee.org
In this article, a dynamic event-triggered control scheme for a class of stochastic nonlinear
systems with unknown input saturation and partially unmeasured states is presented. First, a …
systems with unknown input saturation and partially unmeasured states is presented. First, a …