Adaptive interval type-2 fuzzy fixed-time constrained control of active vehicle suspension systems with actuator saturation and dead-zone nonlinearity

Adaptive fuzzy super-twisting sliding mode control with nonlinear active disturbance rejection for electromechanical stabilizer bars to improve vehicle roll stability

Electromechanical stabilizer bars are commonly equipped in luxury vehicles to enhance rollover stability during aggressive steering maneuvers at high speeds. However, most existing studies simplify actuator and vehicle dynamics, while parametric uncertainties, model nonlinearities, and external disturbances are often i...

IBLF-based fuzzy adaptive super-twisting control for fixed-wing UAVs with time-varying full-state constraints and disturbances

This paper investigates the attitude trajectory tracking problem of fixed-wing unmanned aerial vehicles (UAVs) subject to time-varying full-state constraints and unknown disturbances. To address the strong nonlinear coupling and aerodynamic uncertainties inherent in fixed-wing UAV dynamics, a robust control framework t...

Mass-adaptive Takagi-Sugeno fuzzy control for semi-active vehicle suspension with a CDC damper and experimental validation

Adaptive prescribed-time control for stochastic nonlinear systems over infinite horizon: A dynamic threshold strategy with application to ship maneuvering systems.

This paper studies the prescribed-time tracking control problem with output constraints for stochastic nonlinear systems over an infinite horizon, motivated by ship maneuvering dynamics. The steady-state tracking accuracy of existing methods is uncertain due to unknown system parameters, which may fail to meet high-pre...

Fixed-time sliding mode control with nonlinear disturbance estimation for active suspension via Self-Adaptive Particle Swarm Optimization

Research on suspension control continues to face challenges associated with nonlinear dynamics and uncertainties, degraded convergence properties, and the chattering phenomenon that may accelerate mechanical wear and increase control input. This article proposes an optimal robust control architecture to enhance the p...

Adaptive fuzzy control for full-state constrained stochastic nonlinear systems with dead zone and multiple faults

This article investigates adaptive fuzzy control for stochastic nonlinear systems subject to multiple practical imperfections, including input dead-zone nonlinearities, time-varying sensor faults, state-dependent actuator faults, and full-state constraints. A novel adaptive fuzzy control scheme is developed via a recur...