Robust H∞ filtering and time-varying delay compensation for car suspension systems: a comprehensive approach to reduced disturbance and enhanced estimation

The optimization of H ∞ filtering and addressing time-varying delays in car suspension systems has emerged as a critical research area in the pursuit of enhanced performance, robustness, and ride comfort. As automotive technology continues to advance, the demand for precise measurement accuracy, observer gain, and disturbance resistance becomes paramount for achieving optimal suspension system performance. This article delves into the challenges posed by delayed measurements and the observer of the Leuenberger type, emphasizing the significance of estimation and viewer gain goals in the face of varying delays. Furthermore, it explores the integration of established and stable Linear Matrix Inequalities (LMIs) to design an interior for improved system response and the benefits of L 2 in reducing the impact of disturbances. By comprehensively investigating these complex factors, this article aims to provide valuable insights and approaches to mitigate the adverse effects of time-varying delays and disturbances in car suspension systems.