Hybrid‐driven‐based fuzzy secure filtering for nonlinear parabolic partial differential equation systems with cyber attacks

Z Zhang, X Song, X Sun… - International Journal of …, 2023 - Wiley Online Library
The problem of hybrid‐driven fuzzy filtering for nonlinear semi‐linear parabolic partial
differential equation systems with dual cyber attacks is investigated. First, a Takagi‐Sugeno …

Sliding-mode surface-based approximate optimal control for uncertain nonlinear systems with asymptotically stable critic structure

B Zhao, D Liu, C Alippi - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
This article develops a novel sliding-mode surface (SMS)-based approximate optimal
control scheme for a large class of nonlinear systems affected by unknown mismatched …

A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system

JW Kim, BJ Park, H Yoo, TH Oh, JH Lee… - Journal of Process Control, 2020 - Elsevier
Abstract The Hamilton–Jacobi–Bellman (HJB) equation can be solved to obtain optimal
closed-loop control policies for general nonlinear systems. As it is seldom possible to solve …

Adaptive neural tracking control of a class of hyperbolic PDE with uncertain actuator dynamics

Y Xiao, Y Yuan, C Yang, B Luo, X Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates the adaptive neural tracking control problem for a class of hyperbolic
PDE with boundary actuator dynamics described by a set of nonlinear ordinary differential …

Quasi-synchronization of heterogeneous stochastic coupled reaction-diffusion neural networks with mixed time-varying delays via boundary control

W Chen, G Ren, Y Yu, X Yuan - Journal of the Franklin Institute, 2023 - Elsevier
In this paper, the quasi-synchronization problem of heterogeneous stochastic coupled
neural networks (HSCNNs) is discussed. The effects of the mixed time-varying delay and …

Boundary fuzzy output tracking control of nonlinear parabolic infinite-dimensional dynamic systems: Application to cooling process in hot strip mills

JW Wang, JF Zhang, HN Wu - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
In this article, we utilize a combination of integral control, fuzzy control, and observer-based
output feedback control to deal with the issue of nonlinear output tracking control (OTC) …

Observer-Based Boundary Stabilization of Coupled Semilinear Reaction–Diffusion Neural Networks With Spatially Varying Coefficients via Event-Triggered Controller

F Ge, YQ Chen - IEEE Transactions on Neural Networks and …, 2022 - ieeexplore.ieee.org
The aim of this article is to propose an observer-based event-triggered Robin boundary
control strategy for the exponential stabilization of the coupled semilinear reaction–diffusion …

Event-triggered optimal control for temperature field of roller kiln based on adaptive dynamic programming

N Chen, B Li, B Luo, W Gui… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Temperature field control is crucial for the comprehensive performance of Ni-Co-Mn layered
cathode material that is the most important part of lithium-ion batteries. Starting from the …

Concurrent learning robust adaptive fault tolerant boundary regulation of hyperbolic distributed parameter systems

Y Yuan, X Xu, C Yang, B Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article develops a robust adaptive boundary output regulation approach for a class of
complex anticollocated hyperbolic partial differential equations subjected to multiplicative …

Policy-iteration-based finite-horizon approximate dynamic programming for continuous-time nonlinear optimal control

Z Lin, J Duan, SE Li, H Ma, J Li, J Chen… - … on Neural Networks …, 2022 - ieeexplore.ieee.org
The Hamilton–Jacobi–Bellman (HJB) equation serves as the necessary and sufficient
condition for the optimal solution to the continuous-time (CT) optimal control problem (OCP) …