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A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy
dynamic event-triggered control problem is successfully solved. A dynamic event-triggered …
dynamic event-triggered control problem is successfully solved. A dynamic event-triggered …
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 …
Adaptive event-triggered dynamic output feedback control for nonlinear active suspension systems based on interval type-2 fuzzy method
This paper investigates the adaptive event-triggered dynamic output feedback control
problem for vehicle active suspension systems with nonlinearity and uncertainty based on …
problem for vehicle active suspension systems with nonlinearity and uncertainty based on …
Event-trigger-based finite-time fuzzy adaptive control for stochastic nonlinear system with unmodeled dynamics
This article investigates the problem of finite-time fuzzy adaptive event-triggered control
design for stochastic nonlinear nonstrict feedback systems with unmodeled dynamics. The …
design for stochastic nonlinear nonstrict feedback systems with unmodeled dynamics. The …
Command filter-based adaptive fuzzy integral backstep** control for quadrotor UAV with input saturation
W Liu, X Cheng, J Zhang - Journal of the Franklin Institute, 2023 - Elsevier
This paper presents an adaptive fuzzy integral backstep** control strategy combined with
command filter to solve trajectory tracking problem of quadrotor unmanned aerial vehicle …
command filter to solve trajectory tracking problem of quadrotor unmanned aerial vehicle …
[HTML][HTML] Adaptive fuzzy PID control strategy for vehicle active suspension based on road evaluation
SY Han, JF Dong, J Zhou, YH Chen - Electronics, 2022 - mdpi.com
The paper proposes a fuzzy proportion integral differential (PID) control strategy based on
road estimation to meet the different performance requirements of active suspension for …
road estimation to meet the different performance requirements of active suspension for …
Neural-network-based adaptive singularity-free fixed-time attitude tracking control for spacecrafts
In this article, a neural-network-based adaptive fixed-time control scheme is proposed for the
attitude tracking of uncertain rigid spacecrafts. A novel singularity-free fixed-time switching …
attitude tracking of uncertain rigid spacecrafts. A novel singularity-free fixed-time switching …
Neural network adaptive output-feedback optimal control for active suspension systems
Y Li, T Wang, W Liu, S Tong - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
The adaptive neural network (NN) output-feedback optimal control issue has been
investigated for a quarter-car active electric suspension systems, where the suspension …
investigated for a quarter-car active electric suspension systems, where the suspension …
Robust optimal control for the vehicle suspension system with uncertainties
R Bai, HB Wang - IEEE transactions on cybernetics, 2021 - ieeexplore.ieee.org
The suspension system is an important unit that affects vehicle performance, including
handling stability and riding comfort. In order to improve vehicle performances, a novel …
handling stability and riding comfort. In order to improve vehicle performances, a novel …
A bioinspired dynamics-based adaptive fuzzy SMC method for half-car active suspension systems with input dead zones and saturations
Active suspension systems are widely used in vehicles to improve ride comfort and handling
performance. However, existing control strategies may be limited by various factors …
performance. However, existing control strategies may be limited by various factors …