A comparative review of hand-eye calibration techniques for vision guided robots

I Enebuse, M Foo, BSKK Ibrahim, H Ahmed… - IEEE …, 2021 - ieeexplore.ieee.org
Hand-eye calibration enables proper perception of the environment in which a vision guided
robot operates. Additionally, it enables the mapping of the scene in the robots frame. Proper …

Recurrent neural network-based robust nonsingular sliding mode control with input saturation for a non-holonomic spherical robot

SB Chen, A Beigi, A Yousefpour, F Rajaee… - IEEE …, 2020 - ieeexplore.ieee.org
We develop a new robust control scheme for a non-holonomic spherical robot. To this end,
the mathematical model of a pendulum driven non-holonomic spherical robot is first …

Adaptive fault-tolerant control for pure-feedback stochastic nonlinear systems with sensor and actuator faults

A Bali, SS Chouhan, G Kumar, R Kumar… - Circuits, Systems, and …, 2023 - Springer
In this article, for a class of stochastic pure-feedback nonlinear systems with simultaneous
actuator and sensor faults, the problem of adaptive fault-tolerant control is examined. 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 …

Sensor fault-tolerant control for a doubly fed induction generator in a smart grid

RF Conchas, EN Sanchez, LJ Ricalde… - … Applications of Artificial …, 2023 - Elsevier
This study proposes a sensor fault-tolerant controller for a doubly fed induction generator
connected to a smart grid. Mathematical models are the main tools for the synthesis of …

[HTML][HTML] Adaptive neural sensor and actuator fault-tolerant control for discrete-time unknown nonlinear systems

AY Alanis - Franklin Open, 2022 - Elsevier
This paper proposes a novel methodology for trajectory tracking of unknown discrete-time
nonlinear systems under sensor and actuator faults. The proposed approach combines a …

From Gauss–Newton method solving nonlinear least squares problem of static overdetermined system to multi-instant neurodynamic algorithms handling future time …

D Wu, Y Zhang - Nonlinear Dynamics, 2024 - Springer
Gauss–Newton method is mainly designed and exploited to solve the nonlinear least
squares problems of static overdetermined systems with order-2 precision. When the system …

Real‐time model‐free resilient control for discrete nonlinear systems

AY Alanis, JG Alvarez - Asian Journal of Control, 2021 - Wiley Online Library
Motivated by the increasing complexity of systems to be controlled and different system
components that cause uncertainties, threats, and disturbances, among other system …

Discrete-time neural control of quantized nonlinear systems with delays: Applied to a three-phase linear induction motor

AY Alanis, JD Rios, J Gomez-Avila, P Zuniga, F Jurado - Electronics, 2020 - mdpi.com
This work introduces a neural-feedback control scheme for discrete-time quantized
nonlinear systems with time delay. Traditionally, a feedback controller is designed under …

Model-Free Neural Fault-Tolerant Control for Discrete-Time Unknown Nonlinear Systems

JG Alvarez, OD Sanchez, AY Alanis - International Conference on Soft …, 2022 - Springer
This paper presents the design of a new fault-tolerant control methodology based on a
model-free neural technique. For an unknown nonlinear dynamical system, a recurrent …