A rapid prototyping facility for flight research in advanced systems concepts

Duke, Eugene L.; Brumbaugh, Randal W.; Disbrow, J. D.

doi:10.1109/2.27957

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…These software simulations typically run in dedicated computing environments with a cockpit and out-the-window graphics (e.g., see [68,69]). Typically they contain software models of nonlinear aerodynamics, engine dynamics, actuator models, and sensor models.…”

Section: Testing and Simulation Tools For Learning System Verificationmentioning

confidence: 99%

Development of Advanced Verification and Validation Procedures and Tools for the Certification of Learning Systems in Aerospace Applications

et al. 2005

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Adaptive control technologies that incorporate learning algorithms have been proposed to enable automatic flight control and vehicle recovery, autonomous flight, and to maintain vehicle performance in the face of unknown, changing, or poorly defined operating environments. In order for adaptive control systems to be used in safety-critical aerospace applications, they must be proven to be highly safe and reliable. Rigorous methods for adaptive software verification and validation must be developed to ensure that control system software failures will not occur. Of central importance in this regard is the need to establish reliable methods that guarantee convergent learning, rapid convergence (learning) rate, and algorithm stability. This paper presents the major problems of adaptive control systems that use learning to improve performance. The paper then presents the major procedures and tools presently developed or currently being developed to enable the verification, validation, and ultimate certification of these adaptive control systems. These technologies include the application of automated program analysis methods, techniques to improve the learning process, analytical methods to verify stability, methods to automatically synthesize code, simulation and test methods, and tools to provide on-line software assurance.

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Section: Testing and Simulation Tools For Learning System Verificationmentioning

confidence: 99%

Development of Advanced Verification and Validation Procedures and Tools for the Certification of Learning Systems in Aerospace Applications

et al. 2005

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“…Other uses include the application of the prtmary control laws for remotely piloted research vehi-les. It also provides a remote computation facility :'or the evaluation of cockpit displays [19].…”

Section: Sample Toolsmentioning

confidence: 99%

“…Primary control laws for remotely piloted research vehicles and remote computation facility for cockpit displays were prototyped [19].…”

Section: Sample Applicationsmentioning

confidence: 99%

Taxonomy of rapid-prototyping methods and tools

Asur

Hufnagel

[1993] Proceedings the Fourth International Workshop on Rapid System Prototyping

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A prototype-based software development can complement or offer an alternative to traditional system development techniques. Software prototyping approaches are becomin.1 more sophisticated and systems prototyping tools and techniques are rapidly evolving. This paper presents a survey of graphical and textual software prototyping approaches. We dwell on the respective represt ntations, methods, and benefits.We give examples of !ypical software tools available to carry out system prototyping. A taxonomy of prototyping approaches i s liven.

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Introduction

Nguyen¹

2018

Model-Reference Adaptive Control

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A rapid prototyping facility for flight research in advanced systems concepts

Cited by 8 publications

References 3 publications

Development of Advanced Verification and Validation Procedures and Tools for the Certification of Learning Systems in Aerospace Applications

Development of Advanced Verification and Validation Procedures and Tools for the Certification of Learning Systems in Aerospace Applications

Taxonomy of rapid-prototyping methods and tools

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