Neural-networks-based event-triggered consensus tracking control for nonlinear MASs with DoS attacks

Y Xiao, WW Che, I Member - Neurocomputing, 2022 - Elsevier
In this paper we explore the observer-based event-triggered tracking control problem for
nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks. To overcome …

Passivity-based inverse optimal impulsive control for influenza treatment in the host

G Hernandez-Mejia, AY Alanis… - … on Control Systems …, 2019 - ieeexplore.ieee.org
Influenza A virus infections are causes of severe illness resulting in high levels of mortality.
Neuraminidase inhibitors such as zanamivir and oseltamivir are used to treat influenza; …

Nonlinear observer design for one‐sided Lipschitz systems with time‐varying delay and uncertainties

Y Dong, W Liu, S Liang - International Journal of Robust and …, 2017 - Wiley Online Library
This paper investigates the problem of state observer design for a class of nonlinear
uncertain dynamical systems with interval time‐varying delay and the one‐sided Lipschitz …

Observer design for sampled-data systems via deterministic learning

J Hu, W Wu, B Ji, C Wang - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
A unified approach is proposed to design sampled-data observers for a certain type of
unknown nonlinear systems undergoing recurrent motions based on deterministic learning …

Nonlinear H∞ observer design for one-sided Lipschitz systems

W Zhang, H Su, S Su, D Wang - Neurocomputing, 2014 - Elsevier
This paper is considered with the H∞ observer design problem for a class of nonlinear
systems with the one-sided Lipschitz condition. The systems under consideration include the …

Lyapunov stable learning laws for multilayer recurrent neural networks

A Guarneros-Sandoval, M Ballesteros, I Salgado… - Neurocomputing, 2022 - Elsevier
This study aims to develop stable learning laws (in the sense of Lyapunov) for a general
class of multilayer recurrent neural network (RNN) non-parametric identifier. The application …

A generalized indirect adaptive neural networks backstepping control procedure for a class of non-affine nonlinear systems with pure-feedback prototype

J Zhang, Q Zhu, X Wu, Y Li - Neurocomputing, 2013 - Elsevier
This study presents a generalized procedure for designing recurrent neural network
enhanced control of time-varying-delayed nonlinear dynamic systems with non-affine …

On the dynamic neural network toolbox design for identification, estimation and control

I Chairez, IA Guarneros-Sandoval, V Prud… - Kybernetes, 2023 - emerald.com
Purpose There are common problems in the identification of uncertain nonlinear systems,
nonparametric approximation, state estimation, and automatic control. Dynamic neural …

Feedforward fuzzy trajectory compensator with robust adaptive observer at input trajectory level for uncertain multi-link robot manipulators

Y Chen, K Wang, L Zhai, J Gao - Journal of the Franklin institute, 2017 - Elsevier
This paper presents an inverse dynamics controller plus feedforward fuzzy trajectory
compensator suitable for the trajectory tracking control of uncertain multi-link robot …

Stable learning laws design for long short-term memory identifier for uncertain discrete systems via control Lyapunov functions

A Guarneros-Sandoval, M Ballesteros, I Salgado… - Neurocomputing, 2022 - Elsevier
This study introduces a method for designing stable learning laws of Long Short-Term
Memory (LSTM) networks working as a non-parametric identifier of nonlinear systems with …