DOIAbstract
Purpose - The purpose of this paper is to show the feasibility of constrained model predictive control (MPC) for sophisticated helicopter models which are derived by physical considerations
Purpose - The purpose of this paper is to show the feasibility of constrained model predictive control (MPC) for sophisticated helicopter models which are derived by physical considerations
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005....
Aircraft are dynamic systems that naturally contain a variety of constraints and nonlinearities such...
A new linear model predictive control (MPC) algorithm in a state-space framework is presented based ...
Purpose - The purpose of this paper is to show the feasibility of constrained model predictive contr...
Purpose - The purpose of this paper is to investigate the feasibility of controlling a small-scale h...
Abstract:- Helicopters are strongly coupled, multivariate, time-delay nonlinear plants. The design o...
This paper introduces an optimisation based control framework for autonomous helicopters. The framew...
Abstract. In this paper we present a new control approach for a quadrotor mini-helicopter using the ...
This paper describes and analyzes the performance of two different formulations of model predictive ...
Kinematical and dynamical equations of a small scale unmanned helicoper are presented in the paper. ...
A toy helicopter makes for an impressive classroom control demonstration. However the challenge to o...
This paper presents the application of non-linear predictive control algorithm to a helicopter model...
Flight control design for modern fighter aircraft is a challenging task. Aircraft are dynamical syst...
The major drawback of MPC is the computational burden associated with the large number of parameters...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.In...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005....
Aircraft are dynamic systems that naturally contain a variety of constraints and nonlinearities such...
A new linear model predictive control (MPC) algorithm in a state-space framework is presented based ...
Purpose - The purpose of this paper is to show the feasibility of constrained model predictive contr...
Purpose - The purpose of this paper is to investigate the feasibility of controlling a small-scale h...
Abstract:- Helicopters are strongly coupled, multivariate, time-delay nonlinear plants. The design o...
This paper introduces an optimisation based control framework for autonomous helicopters. The framew...
Abstract. In this paper we present a new control approach for a quadrotor mini-helicopter using the ...
This paper describes and analyzes the performance of two different formulations of model predictive ...
Kinematical and dynamical equations of a small scale unmanned helicoper are presented in the paper. ...
A toy helicopter makes for an impressive classroom control demonstration. However the challenge to o...
This paper presents the application of non-linear predictive control algorithm to a helicopter model...
Flight control design for modern fighter aircraft is a challenging task. Aircraft are dynamical syst...
The major drawback of MPC is the computational burden associated with the large number of parameters...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.In...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005....
Aircraft are dynamic systems that naturally contain a variety of constraints and nonlinearities such...
A new linear model predictive control (MPC) algorithm in a state-space framework is presented based ...
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