A nonlinear fluid flow model which is transformed into a parametric strict feedback form is used to analyze and control.
In this paper, stabilization and tracking control problem for parametric strict feedback class of discrete time systems is addressed.
In this paper, a new adaptive failure/fault compensation control scheme is proposed for parametric strict feedback nonlinear systems.
In order to accommodate actuator failures which are uncertain in time, pattern and value, we propose two adaptive backstepping control schemes for parametric strict feedback systems.
In this paper, a new tuning function backstepping control scheme is proposed for a class of parametric strict feedback nonlinear systems to accommodate actuator failures/faults and dead-zone constraints, where the failures/faults are uncertain in time, pattern, and values, and the dead-zone parameters are not available for feedback control design.
Moreover, if (b_{i}=1) ((i=1,ldots,n)) and (varphi_{0}(x)) is a constant, then system (1) will become the parametric strict-feedback form of fractional-order nonlinear system.
This paper presents a new method for the adaptive (tracking) regulation via partial state feedback for a class of discrete-time nonlinear systems in parametric strict-feedback form.
This paper presents a new design procedure for the adaptive regulation (tracking) via state feedback for discrete-time nonlinear systems in a parametric strict-feedback form.
It is worth pointing out that if let the unknown constants (b_{i}=1) ((i=1,ldots,n)) and (q=1) in (1), the systems (1) reduces to the well-known parametric strict-feedback system.
This paper considers the design of sliding mode control using a combined adaptive backstepping sliding mode control (SMC) algorithm for a class of nonlinear continuous uncertain processes which can be converted to a semi-parametric strict feedback form.
