The growing adoption of electric vehicles has drawn a renewed interest in intelligent vehicle
subsystems, including active suspension. Control methods for active suspension systems …

The uncertain delay characteristic of actuators is a critical factor that affects the control
effectiveness of the active suspension system. Therefore, it is crucial to develop a control …

Electromagnetic actuators, characterized by their lack of pneumatic or hydraulic circuits,
rapid response, and ease of control, have the potential to significantly enhance the dynamic …

Active suspension systems aim to increase ride comfort by reducing body acceleration due
to road disturbances. This research proposes a new fuzzy logic controller (FLC) for such …

Optimizing car suspension systems remains a key challenge in the search for safer and
more comfortable driving. This paper explores an innovative approach using artificial …

Although robust active suspension control problem has been well studied, solving robust
control via unknown road surface recognition (such as speed bump detection) has not been …

The paper compares two optimal control methods—Reinforcement Learning and Model
Predictive Control—for adaptive speed control in the presence of road obstacles to enhance …

The paper compares two optimal control methods Rein-forcement Learning and Model
Predictive Control for adaptive speed control in the presence of road obstacles to enhance …

This study proposes a solution to reduce vertical vibrations and body pitching in response to
random road surface excitations. To achieve these objectives, a half-vehicle model of an …

As society develops, the comfort and safety characteristics of automobiles are increasingly
focused on. Much industrial and academic research has been therefore involved in the study …