International audienceThis paper adressed the problem of state and road adhesion estimation by using the Takagi-Sugeno (TS) approach. A Lateral vehicle model is used with nonlinear contact forces. From the considered model an exact TS model with unmeasured premise variables is deduced by the well known sector nonlinearity transformation. In this model, the road adhesion coefficient is expressed as an unknown input which is also involved in the weighting functions of the TS model. An observer is then designed for state and road adhesion estimation which is an important parameter in vehicle safety systems. The convergence of the observer is studied with Lyapunov theory and conditions that ensure Input-To-State Stability (ISS) are provided and...
International audienceMany active vehicle safety systems such as electronic stability control (ESC),...
This paper addresses a method for detecting critical stability situations in the lateral vehicle dyn...
International audienceThis paper deals with an observer-based identification framework to estimate b...
International audienceThe present article deals with an observer design for nonlinear vehicle latera...
International audienceThe present paper deals with an observer design for a nonlinear lateral vehicl...
International audienceThis paper deals with the problem of observer design for vehicle lateral dynam...
The present article deals with an observer design for nonlinear vehicle lateral dynamics. The contri...
This paper proposes a nonlinear observer for Body Slip Angle (β) estimation, in which a nonlinear ti...
A novel adaptive nonlinear observer-based parameter estimation scheme using a newly continuously dif...
This paper proposes a nonlinear observer for Body Slip Angle (ϐ) estimation, in which a nonlinear ti...
International audience— In this paper, a nonlinear motorcycle model is considered in order to estima...
International audienceIn this paper, an observer is proposed for estimating vehicle states which are...
International audienceIn this paper, a nonlinear motorcycle model is considered in order to estimate...
University of Minnesota Ph.D. dissertation. September 2011. Major: Control science and dynamical sys...
The performance of the vehicle's active safety systems depends on accurate knowledge of the vehicle ...
International audienceMany active vehicle safety systems such as electronic stability control (ESC),...
This paper addresses a method for detecting critical stability situations in the lateral vehicle dyn...
International audienceThis paper deals with an observer-based identification framework to estimate b...
International audienceThe present article deals with an observer design for nonlinear vehicle latera...
International audienceThe present paper deals with an observer design for a nonlinear lateral vehicl...
International audienceThis paper deals with the problem of observer design for vehicle lateral dynam...
The present article deals with an observer design for nonlinear vehicle lateral dynamics. The contri...
This paper proposes a nonlinear observer for Body Slip Angle (β) estimation, in which a nonlinear ti...
A novel adaptive nonlinear observer-based parameter estimation scheme using a newly continuously dif...
This paper proposes a nonlinear observer for Body Slip Angle (ϐ) estimation, in which a nonlinear ti...
International audience— In this paper, a nonlinear motorcycle model is considered in order to estima...
International audienceIn this paper, an observer is proposed for estimating vehicle states which are...
International audienceIn this paper, a nonlinear motorcycle model is considered in order to estimate...
University of Minnesota Ph.D. dissertation. September 2011. Major: Control science and dynamical sys...
The performance of the vehicle's active safety systems depends on accurate knowledge of the vehicle ...
International audienceMany active vehicle safety systems such as electronic stability control (ESC),...
This paper addresses a method for detecting critical stability situations in the lateral vehicle dyn...
International audienceThis paper deals with an observer-based identification framework to estimate b...