Add to ORKGArtificial neural networks offer some interesting possibilities for use in control. Our current research is on the use of neural networks on an aircraft model. The model can then be used in a nonlinear control scheme. The effectiveness of network training is demonstrated
Artificial neural networks provide a means of nonlinear mapping of the input-output characteristics ...
The feasibility of using artificial neural networks as control systems for modern, complex aerospace...
Methods for estimating the aerospace system parameters and controlling them through two neural netwo...
This paper presents a discussion of the applicability of neural networks in the identification and c...
This paper addresses linear system identification for aircraft using artificial neural net-works. Th...
Aircraft dynamics are in general nonlinear, time-varying, and may be highly uncertain. Current-gener...
INTRODUCTION A great deal of time and effort is spent by aircraft manufacturers in the identificati...
AbstractIn this paper, a new approach has been proposed to identify and model the dynamics of a high...
One research focus in DLR’s (German Aerospace Centre) Institute of Flight Systems is generation of a...
Most industrial systems are nonlinear. In these applications the conventional identification and con...
Artificial neural networks are an established technique for constructing non-linear models of multi-...
Neural networks are being developed at McDonnell Douglas Corporation to provide an onboard model of ...
costin @ www.electro. pub.ro Abstract:- In this paper one presents some hierarchy structures for mod...
Includes bibliographical references (p. 8).Supported by an Air Force Office of Scientific Research G...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Artificial neural networks provide a means of nonlinear mapping of the input-output characteristics ...
The feasibility of using artificial neural networks as control systems for modern, complex aerospace...
Methods for estimating the aerospace system parameters and controlling them through two neural netwo...
This paper presents a discussion of the applicability of neural networks in the identification and c...
This paper addresses linear system identification for aircraft using artificial neural net-works. Th...
Aircraft dynamics are in general nonlinear, time-varying, and may be highly uncertain. Current-gener...
INTRODUCTION A great deal of time and effort is spent by aircraft manufacturers in the identificati...
AbstractIn this paper, a new approach has been proposed to identify and model the dynamics of a high...
One research focus in DLR’s (German Aerospace Centre) Institute of Flight Systems is generation of a...
Most industrial systems are nonlinear. In these applications the conventional identification and con...
Artificial neural networks are an established technique for constructing non-linear models of multi-...
Neural networks are being developed at McDonnell Douglas Corporation to provide an onboard model of ...
costin @ www.electro. pub.ro Abstract:- In this paper one presents some hierarchy structures for mod...
Includes bibliographical references (p. 8).Supported by an Air Force Office of Scientific Research G...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Artificial neural networks provide a means of nonlinear mapping of the input-output characteristics ...
The feasibility of using artificial neural networks as control systems for modern, complex aerospace...
Methods for estimating the aerospace system parameters and controlling them through two neural netwo...