Add to ORKGThis paper presents a method for developing control laws for nonlinear systems based on an optimal control formulation. Due to the nonlinearities of the system, no analytical solution exists. The method proposed here uses the 'black box' structure of a neural network to model a feedback control law. The network is trained with the back-propagation learning method by using examples of optimal control produced with a differential dynamic programming technique. Two different optimal control problems from flight control are studied. The produced control laws are simulated and the results analyzed. Neural networks show promise for application to optimal control problems with nonlinear systems
In this study an adaptive critic based neural network controller is developed to obtain near optimal...
This paper proposes a novel adaptive nonlinear controller based on neural-networks (NNs) for active ...
The design of a feedback controller, so as to minimize a given performance criterion, for a general ...
This paper presents a method for developing control laws for nonlinear systems based on an optimal c...
A dual neural network architecture for the solution of aircraft control problems is presented. The n...
In this thesis, the optimal control of a hypersonic vehicle in ascent through the atmosphere is deve...
In this thesis, the optimal control of a hypersonic vehicle in ascent through the atmosphere is deve...
In this thesis, the optimal control of a hypersonic vehicle in ascent through the atmosphere is deve...
In this paper, a new neural network approach/architecture, called the “Cost Function Based Single Ne...
The topic of nonlinear control design has attracted particular attention to satisfy the demanding re...
An optimal guidance law for a missile flight is one which determines appropriate controls to produce...
Aircraft dynamics are in general nonlinear, time-varying, and may be highly uncertain. Current-gener...
In this work we present a variational formulation for a multilayer perceptron neural network. With t...
Abstract:- The paper presents neuro–adaptive optimal control system with direct application to the a...
In this work we present a variational formulation for a multilayer perceptron neural network. With t...
In this study an adaptive critic based neural network controller is developed to obtain near optimal...
This paper proposes a novel adaptive nonlinear controller based on neural-networks (NNs) for active ...
The design of a feedback controller, so as to minimize a given performance criterion, for a general ...
This paper presents a method for developing control laws for nonlinear systems based on an optimal c...
A dual neural network architecture for the solution of aircraft control problems is presented. The n...
In this thesis, the optimal control of a hypersonic vehicle in ascent through the atmosphere is deve...
In this thesis, the optimal control of a hypersonic vehicle in ascent through the atmosphere is deve...
In this thesis, the optimal control of a hypersonic vehicle in ascent through the atmosphere is deve...
In this paper, a new neural network approach/architecture, called the “Cost Function Based Single Ne...
The topic of nonlinear control design has attracted particular attention to satisfy the demanding re...
An optimal guidance law for a missile flight is one which determines appropriate controls to produce...
Aircraft dynamics are in general nonlinear, time-varying, and may be highly uncertain. Current-gener...
In this work we present a variational formulation for a multilayer perceptron neural network. With t...
Abstract:- The paper presents neuro–adaptive optimal control system with direct application to the a...
In this work we present a variational formulation for a multilayer perceptron neural network. With t...
In this study an adaptive critic based neural network controller is developed to obtain near optimal...
This paper proposes a novel adaptive nonlinear controller based on neural-networks (NNs) for active ...
The design of a feedback controller, so as to minimize a given performance criterion, for a general ...