A virtual sensor uses low-cost measurements and mathematical models to estimate a
difficult to measure or expensive quantity. Virtual sensors have been sucessfully developed …

This brief presents a nonlinear observer for estimating the longitudinal and lateral velocities
based on Dugoff's tire model and vehicle dynamics. The observer has a fixed gain structure …

Accurate acquisition of critical vehicle states is a prerequisite for active safety systems to
work properly. However, vehicle sates under non-ideal conditions are usually difficult to be …

In this paper, an event-triggered distributed formation control method is proposed for
multiple planar vehicles which are modeled as uncertain Euler-Lagrangian systems (ELSs) …

A new control strategy for obtaining the maximum traction force of electric vehicles with
individual rear-wheel drive is presented. A sliding-mode observer is proposed to estimate …

A proper amount of supply airflow is critical in all kinds of air-based HVAC systems to
maintain desired control effectiveness, energy efficiency and indoor air quality (IAQ) …

Automotive-engine control and fault diagnostics largely depend upon the accuracy of the
nonlinear models used. The structure of these nonlinear models is generally agreed upon …

Vehicles are complex mechanical systems with strong nonlinear characteristics and which
can present some uncertainties due to their dynamic parameters such as masses, inertias …

This study presents a novel reduced‐order non‐linear observer for vehicle velocities
estimation based on vehicle dynamics and Unified Exponential tire model. Yaw rate is …

Model based control of automotive engines for fuel economy and pollution minimization
depends on accuracy of models used. A number of mathematical models of automotive …