Adaptive neural network-based event-triggered SOC observer with application to a stochastic battery model

C Pan, Z Peng, S Yang, G Wen, B Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate state of charge (SOC) is crucial to achieving safe, reliable, and efficient use of
batteries. This article proposes an adaptive neural network (NN)-based event-triggered …

Finite-time command filtered event-triggered adaptive output feedback control for nonlinear systems with unknown dead-zone constraints

Q Yu, X He, L Wu, L Guo - Information Sciences, 2022 - Elsevier
This paper addresses the design of neural network observer and adaptive finite-time
tracking controller for uncertain nonlinear with event-triggered inputs and unknown dead …

Event-triggered predefined-time output feedback control for fractional-order nonlinear systems with input saturation

M Cui, S Tong - IEEE Transactions on Fuzzy Systems, 2023 - ieeexplore.ieee.org
The event-triggered predefined-time output feedback control problem is considered for
fractional-order nonlinear systems (FONSs) with input saturation. The controlled plant …

Neuroadaptive deferred full-state constraints control without feasibility conditions for uncertain nonlinear EASSs

X Shao, D Ye - Journal of the Franklin Institute, 2022 - Elsevier
This article studies the neuroadaptive full-state constraints control problem for a class of
electromagnetic active suspension systems (EASSs). First, the original constraint system …

Fuzzy Adaptive Fault-Tolerant Formation Control for USVs with Intermittent Actuator Faults

K Li, K Feng, Y Li - IEEE Transactions on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
This article addresses the problem of fuzzy adaptive formation tracking control for the
underactuated unmanned surface vehicles (USVs) with multiple constraints and intermittent …

Command filter‐based adaptive neural network controller design for uncertain nonsmooth nonlinear systems with output constraint

Q Xu, G Zong, Y Chen, B Niu… - International Journal of …, 2023 - Wiley Online Library
This paper investigates the command filter‐based adaptive neural network tracking control
problem for uncertain nonsmooth nonlinear systems. First, an integral barrier Lyapunov …

Multidimensional-Taylor-network-based robust optimal tracking control for MIMO nonlinear discrete-time systems

Q Sun, Y Yan, Y Xu, J Yu - ISA transactions, 2023 - Elsevier
In practical engineering, system control is indispensable. However, due to the influence of
model uncertainty, speed unavailability, input nonlinearity (such as actuator dead …

Distributed finite-time ADP-based optimal control for nonlinear multiagent systems

L Zhang, Y Chen - IEEE Transactions on Circuits and Systems …, 2023 - ieeexplore.ieee.org
In this brief, the finite-time stability of the optimal control is considered and the ADP-based
finite-time distributed optimal controller (DFTOC) is proposed for the nonlinear multiagent …

Adaptive finite time command filtered backstepping control design for a class of uncertain full state constrained strict‐feedback nonlinear systems

Y Soukkou, M Tadjine… - International Journal of …, 2023 - Wiley Online Library
This article investigates an adaptive finite time command filtered backstepping control
design for a class of uncertain full state constrained strict‐feedback nonlinear systems. The …

Leader–follower consensus control for a class of nonlinear multi-agent systems using dynamical neural networks

F Muñoz, JM Valdovinos, JS Cervantes-Rojas, SS Cruz… - Neurocomputing, 2023 - Elsevier
This paper addresses the formation consensus tracking control problem of uncertain
dynamical multi-agent system with nonlinear dynamics based on a leader–follower …