Artificial intelligence for detection, estimation, and compensation of malicious attacks in nonlinear cyber-physical systems and industrial IoT

F Farivar, MS Haghighi, A Jolfaei… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article proposes a hybrid intelligent-classic control approach for reconstruction and
compensation of cyber attacks launched on inputs of nonlinear cyber-physical systems …

Covert attacks through adversarial learning: Study of lane keeping attacks on the safety of autonomous vehicles

F Farivar, MS Haghighi, A Jolfaei… - … /ASME Transactions on …, 2021 - ieeexplore.ieee.org
Road management systems are to improve in terms of integrity, mobility, sustainability, and
safety by the adoption of artificial intelligence and Internet of Things services. This article …

[HTML][HTML] Underactuated Mechanical Systems--A Review of Control Design

Z Zhang, CS Suh - Journal of Vibration Testing and …, 2022 - lhscientificpublishing.com
An active research subject in robotics and aeronautics, underactuated mechanical systems
(UMS) have been extensively explored for applications where maintaining stability and …

Adaptive control schemes applied to a control moment gyroscope of 2 degrees of freedom

J Montoya–Cháirez, V Santibáñez… - Mechatronics, 2019 - Elsevier
Control of underactuated mechanical systems has been an important trend in mechatronics
and nonlinear systems. Typical examples are the Furuta pendulum and inertia wheel …

Intelligent robust control for cyber-physical systems of rotary gantry type under denial of service attack

M Sayad Haghighi, F Farivar, A Jolfaei… - The Journal of …, 2020 - Springer
This paper presents an approach for tolerant control and compensation of cyber attacks on
the inputs and outputs of a cyber-physical system of rotary gantry type. The proposed control …

Adaptive control of MEMS gyroscope using fully tuned RBF neural network

J Fei, D Wu - Neural Computing And Applications, 2017 - Springer
In this paper, a novel adaptive control scheme that incorporates fully tuned radial basis
function (RBF) neural network is proposed for the control of MEMS gyroscope with respect to …

[HTML][HTML] Zhang Neuro-PID Control for Generalized Bi-Variable Function Projective Synchronization of Nonautonomous Nonlinear Systems with Various Perturbations

M Huang, Y Zhang - Mathematics, 2024 - mdpi.com
Nonautonomous nonlinear (NN) systems have broad application prospects and significant
research value in nonlinear science. In this paper, a new synchronization type—namely …

Feedback chaotic synchronization of a complex chaotic system with disturbances

Q Wei, X Wang, X Hu - Journal of Vibration and Control, 2015 - journals.sagepub.com
In this paper, the basic dynamical properties of a complex chaotic system are investigated by
the imaginary part and the real part of the complex chaotic system are separated. Based on …

Consensus in networked dynamical systems with event-triggered control inputs and random switching topologies

H Li, Y Wang, G Chen, D Xia, L Xiao - Neural Computing and Applications, 2017 - Springer
Event-triggered control approaches of networked control systems are motivated by
applications of embedded microprocessors with limited computation and storage resources …

Control of Under Actuated System with Input Constraints

A Ali, M Liaquat, MB Malik - Pakistan Journal of Engineering and …, 2016 - 111.68.102.14
A pulse width modulation (PWM) approach based on the discrete equivalent model of an
under actuated spinning body is proposed. The presented work is a sequel to the earlier …