With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …

Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …

The direct yaw moment control system of distributed drive electric vehicles provides a
flexible control scheme to enhance the vehicle stability through four independently driven in …

This article presents a new nonlinear observer-based method to detect the faults of both
steering and torque actuators of autonomous ground vehicles. To this end, the nonlinear …

Accurate estimation of vehicle sideslip angle and attitude angles are essential for the safety
control and lateral behaviour of driving performance. In this article, the variation of wheels …

This article presents a new observer design framework for a class of nonlinear descriptor
systems with unknown but bounded inputs. In the presence of unmeasured nonlinearities …

We present a neural network based Takagi-Sugeno (TS) fuzzy observer to estimate the
lateral speed (or sideslip angle) of nonlinear vehicle dynamics subject to modeling …

This paper proposes a novel Neural Network Adaptive Observer (NNAO) for Nonlinear
Systems with Partially and Completely Unknown Dynamics (NSPCUD), subject to variable …

Local nonlinear fuzzy systems are useful for control solutions due to their ability to handle
unmeasurable/inexact premise variables and reduce computational complexity. However …

This paper addresses the zonotopic observer design for nonlinear systems affected by
uncertainties, ie, state disturbances and measurement noises using Takagi–Sugeno (TS) …