Lean and Steering Motorcycle Dynamics Reconstruction : An Unknown Input HOSMO Approach

The proposed approach is based on the transfor- mation of the nonlinear lateral dynamics model using sector nonlinearity transformation in Takagi-Sugeno structure, the specificity

The proposed approach is based on the transfor- mation of the nonlinear lateral dynamics model using sector nonlinearity transformation in Takagi-Sugeno structure, the specificity

The driver behaviour considers his ability in deceleration while the infrastructure characteristics introduce a precise definition of the road geometry (curvature, slope and road

A linear parameter varying (LPV) unknown input observer is designed to estimate the whole motorcycle dynamic states including road banking angles and the rider’s steering torque

Rider weight consideration for observer design with an application to the estimation of the lateral motorcycle dynamics and rider’s action... Rider weight consideration for

This paper presents a new way to estimate every motorcycle dynamic states including unknown input (UI) by keeping a simple observer structure with a Luenberger observer in TS form..

Instead of comparing the coefficients a i of each lane given in (7) until detecting equidistant and parallel lanes, the stop condition is defined as an area comparison. After

In this paper a cascaded flatness-based observation approach is proposed in order to instantly estimate the lateral motorcycle dynamics including the roll angle, the rider’s torque