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 …

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 …

This article investigates the problem of finite-time fuzzy adaptive event-triggered control
design for stochastic nonlinear nonstrict feedback systems with unmodeled dynamics. The …

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 …

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 …

The adaptive neural network (NN) output-feedback optimal control issue has been
investigated for a quarter-car active electric suspension systems, where the suspension …

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 …

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 …

The three‐dimensional trajectory tracking of an underactuated autonomous underwater
vehicle (AUV) under the complex unknowns including model uncertainties and time‐varying …

Synchronization is an essential factor of multiplex dynamic networks. We study
synchronization among multiplex delay networks with random switching nonlinear coupling …