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Constrained H∞ Optimal Control for Nonlinear Active Suspensions Via Data-Driven Reinforcement Learning Algorithm
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper addresses the constrained H∞ optimal control problem for nonlinear active vehicle suspension systems, with a focus on deriving an approximate solution through data-driven reinforcement learning in the context ...
Model-Free H∞ Output Feedback Control of Road Sensing in Vehicle Active Suspension Based on Reinforcement Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An active suspension system ensures the controllability of a vehicle in the vertical direction, which greatly enhances the control redundancy and safety of an intelligent driven vehicle. However, many calibrated model ...