A nonlinear constrained controller is designed for a reusable launch vehicle during re-entry phase in the presence of model uncertainty, external disturbance, and input constraint, via combining sliding mode control and adaptive backstepping control. Since the complex coupling between the translational and rotational dynamics of reusable launch vehicle, a control-oriented model derived from rotational dynamic is used for controller design. During the virtual control input design procedure, a dynamic robust term is utilized to compensate for the uncertainty. In addition, a filter is applied to handle “explosion of terms” problem during the actual control input design. To reduce the computational burden, adaptive law is used to evaluate the u...
This thesis presents the modeling and control of a quadcopter vehicle and the application of adapti...
This paper presents the development of a fully non-linear quadrotor aircraft simulator together with...
This paper describes a novel optimisation-based framework for analysing the robustness of advanced f...
This paper presents the finite time attitude tracking control problem of reusable launch vehicle (RL...
A nonlinear robust control design approach is presented in this paper for a prototype reusable launc...
The control problem of a flexible hypersonic vehicle is presented, where input saturation and aerody...
The main goal of this thesis is to investigate the potential of the nonlinear adaptive backstepping ...
This thesis presents a flight control law for the ascent phase of flight of the next generation of r...
In this thesis we study a number of nonlinear control problems motivated by their appearance in flig...
This dissertation addresses Thrust Vector Control (TVC) design techniques for small launch vehicles ...
In this paper, we present a new scheme to design adaptive controller for uncertain nonlinear systems...
The paper deals with robust stabilization of lateral and rolling motions of a skid-to- turn missile ...
This paper presents a noncertainty equivalent adaptive backstepping control scheme for advanced figh...
A reusable launch vehicle control problem during ascent is addressed via multiple-time scaled contin...
This paper deals with the design of a robust nonlinear controller for a highly maneuverable missile....
This thesis presents the modeling and control of a quadcopter vehicle and the application of adapti...
This paper presents the development of a fully non-linear quadrotor aircraft simulator together with...
This paper describes a novel optimisation-based framework for analysing the robustness of advanced f...
This paper presents the finite time attitude tracking control problem of reusable launch vehicle (RL...
A nonlinear robust control design approach is presented in this paper for a prototype reusable launc...
The control problem of a flexible hypersonic vehicle is presented, where input saturation and aerody...
The main goal of this thesis is to investigate the potential of the nonlinear adaptive backstepping ...
This thesis presents a flight control law for the ascent phase of flight of the next generation of r...
In this thesis we study a number of nonlinear control problems motivated by their appearance in flig...
This dissertation addresses Thrust Vector Control (TVC) design techniques for small launch vehicles ...
In this paper, we present a new scheme to design adaptive controller for uncertain nonlinear systems...
The paper deals with robust stabilization of lateral and rolling motions of a skid-to- turn missile ...
This paper presents a noncertainty equivalent adaptive backstepping control scheme for advanced figh...
A reusable launch vehicle control problem during ascent is addressed via multiple-time scaled contin...
This paper deals with the design of a robust nonlinear controller for a highly maneuverable missile....
This thesis presents the modeling and control of a quadcopter vehicle and the application of adapti...
This paper presents the development of a fully non-linear quadrotor aircraft simulator together with...
This paper describes a novel optimisation-based framework for analysing the robustness of advanced f...