A review on computational intelligence for identification of nonlinear dynamical systems

G Quaranta, W Lacarbonara, SF Masri - Nonlinear Dynamics, 2020 - Springer
This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …

Nonlinear inertia and its effect within an X-shaped mechanism–Part I: Modelling & nonlinear properties

Z Zhu, Y Wang, Y Wang, X Jing - Mechanical Systems and Signal …, 2023 - Elsevier
This paper presents new understanding and development related to nonlinear inertia and its
influence in coupling with an X-shaped anti-vibration mechanism. The inertia unit is …

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 …

Revised adaptive active disturbance rejection sliding mode control strategy for vertical stability of active hydro-pneumatic suspension

G Chen, Y Jiang, Y Tang, X Xu - ISA transactions, 2023 - Elsevier
The unmanned ground vehicle (UGV) travels in complex and uncertain terrain. Its vertical
stability is a key factor affecting the working state and service life of high-sensitivity on-board …

Development of multibody dynamical using MR damper based semi-active bio-inspired chaotic fruit fly and fuzzy logic hybrid suspension control for rail vehicle system

S Bhardawaj, RC Sharma… - Proceedings of the …, 2020 - journals.sagepub.com
In this paper, the semi-active suspension in railway vehicles based on the controlled
Magnetorheological (MR) fluid dampers is examined, and compared with the semi-active …

A yaw stability-guaranteed hierarchical coordination control strategy for four-wheel drive electric vehicles using an unscented Kalman filter

L Wang, H Pang, P Wang, M Liu, C Hu - Journal of the Franklin Institute, 2023 - Elsevier
A novel hierarchical coordination control strategy (HCCS) is offered to guarantee the stability
of four-wheel drive electric vehicles (4WD-EVs) combining the Unscented Kalman filter …

Neural-network estimators based fault-tolerant tracking control for AUV via ADP with rudders faults and ocean current disturbance

G Che, Z Yu - Neurocomputing, 2020 - Elsevier
This paper investigates fault-tolerant tracking control problem for autonomous underwater
vehicle (AUV) with rudders faults and ocean current disturbance. The adaptive dynamic …

Bioinspired nonlinear dynamics-based adaptive neural network control for vehicle suspension systems with uncertain/unknown dynamics and input delay

M Zhang, X Jing, G Wang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
A unique adaptive neural network control scheme is proposed for active suspension
systems by employing bioinspired nonlinear dynamics, so as to address several critical …

Design and development of smart semi active suspension for nonlinear rail vehicle vibration reduction

SK Sharma, J Lee - International Journal of Structural Stability and …, 2020 - World Scientific
In this paper, the semi-active suspension in railway vehicles based on the controlled
magnetorheological (MR) fluid dampers is examined, and compared with the semi-active …

Observer-based robust gain-scheduled control for semi-active air suspension systems subject to uncertainties and external disturbance

H Wang, PK Wong, J Zhao, ZX Yang… - Mechanical Systems and …, 2022 - Elsevier
In this paper, an observer-based robust gain-scheduled control scheme is designed for a
semi-active air suspension (SAAS) system subject to uncertainties and external disturbance …