International audienceIn this paper, we present Lyapunov-based robust and adaptive Higher Order Sliding Mode (HOSM) controllers for nonlinear SISO systems with bounded uncertainty. The proposed controllers can be designed for any arbitrary sliding mode order. The uncertainty bounds are known in the robust control problem whereas they are partially known in the adaptive control problem. Both these problems are formulated as the finite time stabilization of a chain of integrators with bounded uncertainty. Saturation functions are used for gain adaptation, which do not let the states exit the neighborhood after convergence. The effectiveness of these controllers is illustrated through simulations
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
In this paper uncertain continuous-time nonlinear systems affine in the control variable and with sa...
International audienceIn this paper, we present Lyapunov-based robust and adaptive Higher Order Slid...
International audienceIn this paper, we present Lyapunov-based robust and adaptive Higher Order Slid...
International audienceIn this paper, we present Lyapunov-based robust and adaptive Higher Order Slid...
In this paper, we present Lyapunov-based robust and adaptive Higher Order Sliding Mode (HOSM) contro...
In this paper, we present Lyapunov-based robust and adaptive Higher Order Sliding Mode (HOSM) contro...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceA new robust high order sliding mode controller for a class of uncertain minim...
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
In this paper uncertain continuous-time nonlinear systems affine in the control variable and with sa...
International audienceIn this paper, we present Lyapunov-based robust and adaptive Higher Order Slid...
International audienceIn this paper, we present Lyapunov-based robust and adaptive Higher Order Slid...
International audienceIn this paper, we present Lyapunov-based robust and adaptive Higher Order Slid...
In this paper, we present Lyapunov-based robust and adaptive Higher Order Sliding Mode (HOSM) contro...
In this paper, we present Lyapunov-based robust and adaptive Higher Order Sliding Mode (HOSM) contro...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceIn this paper, we present barrier function-based adaptive controllers for fast...
International audienceA new robust high order sliding mode controller for a class of uncertain minim...
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
The objective of this chapter is to present advanced control methodologies of uncertain nonlinear sy...
In this paper uncertain continuous-time nonlinear systems affine in the control variable and with sa...