W Yang, Y Pan, H Liang - Neurocomputing, 2021 - Elsevier
In this paper, an observer-based adaptive fixed-time control strategy is put forward for uncertain nonstrict-feedback nonlinear systems subject to prescribed performance, full-state …
S Al Issa, I Kar - Control Engineering Practice, 2021 - Elsevier
Nowadays, tracking control of mobile robots under network circumstances is a fertile topic of great research interest in control and robotics communities. In this paper, an adjustable …
M Hou, D Liu, Y Ma - Neurocomputing, 2022 - Elsevier
The adaptive event-triggered control of Markovian jump complex dynamic networks (MJCDN) with actuator faults is studied in this paper. A new adaptive fault-tolerant control …
Z Wang, J Liu - Information Sciences, 2023 - Elsevier
A reinforcement learning based-adaptive tracking control method has been proposed for a class of semi-markov non-Lipschitz uncertain system with unmatched disturbances. Not only …
A discrete-time adaptive control approach for uncertain linear multivariable networked systems is proposed. It is capable of dealing with unknown time delays introduced by a …
R Dahal, I Kar - Nonlinear Dynamics, 2022 - Springer
In this paper, a novel robust tracking control strategy for nonlinear unmatched uncertain systems is formulated using the event-based adaptive dynamic programming (ADP) …
Finite-time stability (FTS) of networked control systems under denial-of-service (DoS) attacks are investigated in this article, where the communication between the plant and the …
M Abbas, J Narayan… - Proceedings of the …, 2022 - journals.sagepub.com
In this article, an adaptive tracking control strategy is designed for uncertain electrically driven end-effector type upper-limb rehabilitation robots subject to an input delay and a …
This article investigates the guaranteed cost robust tracking control problem of nonlinear systems subjected to input constraint and unmatched uncertainty. The event-based adaptive …