Applications of Neural Networks in High Assurance Systems (eBook)

Johann M.Ph. Schumann, Yan Liu (Herausgeber)

eBook Download: PDF

2010 | 2010
XVI, 248 Seiten
Springer Berlin (Verlag)
978-3-642-10690-3 (ISBN)

Infos

This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.

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"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.

Inhalt

Application of Neural Networks in High Assurance Systems: A Survey.- Robust Adaptive Control Revisited: Semi-global Boundedness and Margins.- Network Complexity Analysis of Multilayer Feedforward Artificial Neural Networks.- Design and Flight Test of an Intelligent Flight Control System.- Stability, Convergence, and Verification and Validation Challenges of Neural Net Adaptive Flight Control.- Dynamic Allocation in Neural Networks for Adaptive Controllers.- Immune Systems Inspired Approach to Anomaly Detection, Fault Localization and Diagnosis in Automotive Engines.- Pitch-Depth Control of Submarine Operating in Shallow Water via Neuro-adaptive Approach.- Stick-Slip Friction Compensation Using a General Purpose Neuro-Adaptive Controller with Guaranteed Stability.- Modeling of Crude Oil Blending via Discrete-Time Neural Networks.- Adaptive Self-Tuning Wavelet Neural Network Controller for a Proton Exchange Membrane Fuel Cell.- Erratum to: Network Complexity Analysis of Multilayer Feedforward Artificial Neural Networks.

Produkt-Details

• Erscheint lt. Verlag: 10.3.2010
• Reihe/Serie: Studies in Computational Intelligence
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Technik
• Schlagworte: Aerospace • Artificial Neural Network • Automotive Industry • Calculus • Complexity • Computational Intelligence • Control • convergence • High Assurance Systems • Intelligence • Modeling • neural network • Neural networks • Safety • Safety-Critical Systems • verification • Wavelet
• ISBN-10: 3-642-10690-0 / 3642106900
• ISBN-13: 978-3-642-10690-3 / 9783642106903