A synthesis of feasible control methods for floating offshore wind turbine system dynamics
During the past decade, the development of offshore wind energy has transitioned from near
shore with shallow water to offshore middle-depth water regions. Consequently, the energy …
shore with shallow water to offshore middle-depth water regions. Consequently, the energy …
A review on basic data-driven approaches for industrial process monitoring
Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-
driven methods have been receiving considerably increasing attention, particularly for the …
driven methods have been receiving considerably increasing attention, particularly for the …
Neural network based adaptive event trigger control for a class of electromagnetic suspension systems
In this paper, a neural network (NN) based event trigger control problem of electromagnetic
active suspension system is solved. Due to the limitation of vehicle communication …
active suspension system is solved. Due to the limitation of vehicle communication …
Neural network control-based adaptive learning design for nonlinear systems with full-state constraints
In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …
constraints, an adaptive neural network control method is investigated in this paper. The …
Notice of violation of ieee publication principles: Dissipativity-based fuzzy integral sliding mode control of continuous-time TS fuzzy systems
Y Wang, H Shen, HR Karimi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Notice of Violation of IEEE Publication Principles After careful consideration by a duly
constituted committee, an author of this article, Hamid Reza Karimi, was found to have acted …
constituted committee, an author of this article, Hamid Reza Karimi, was found to have acted …
Sliding mode direct yaw-moment control design for in-wheel electric vehicles
The direct yaw-moment control system can significantly enhance vehicle stability in critical
situations. In this paper, the direct yaw-moment control strategies are proposed for in-wheel …
situations. In this paper, the direct yaw-moment control strategies are proposed for in-wheel …
Adaptive neural network control for active suspension systems with time-varying vertical displacement and speed constraints
In this paper, an adaptive neural network (NN) control scheme is proposed for a quarter-car
model, which is the active suspension system (ASS) with the time-varying vertical …
model, which is the active suspension system (ASS) with the time-varying vertical …
Adaptive event-triggered fuzzy control for uncertain active suspension systems
H Li, Z Zhang, H Yan, X Xie - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
This paper studies the adaptive event-triggered fuzzy control issue for active vehicle
suspension systems with uncertainties. Takagi-Sugeno fuzzy model is applied for …
suspension systems with uncertainties. Takagi-Sugeno fuzzy model is applied for …
Adaptive sliding mode fault-tolerant fuzzy tracking control with application to unmanned marine vehicles
This article presents a fault-tolerant tracking control strategy for Takagi–Sugeno fuzzy model-
based nonlinear systems which combines integral sliding mode control with adaptive control …
based nonlinear systems which combines integral sliding mode control with adaptive control …
Dynamic surface control using neural networks for a class of uncertain nonlinear systems with input saturation
In this paper, a dynamic surface control (DSC) scheme is proposed for a class of uncertain
strict-feedback nonlinear systems in the presence of input saturation and unknown external …
strict-feedback nonlinear systems in the presence of input saturation and unknown external …