Freddy Rafael Garces, Victor Manuel Becerra, Chandrasekhar Kambhampati, Kevin Warwick

Strategies for Feedback Linearisation (eBook, PDF)

A Dynamic Neural Network Approach

• Format: PDF

Produktbeschreibung

Using relevant mathematical proofs and case studies illustrating design and application issues, this book demonstrates this powerful technique in the light of research on neural networks, which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer London
• Seitenzahl: 171
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781447100652
• Artikelnr.: 44062492

Inhaltsangabe

Introduction
Fundamental Concepts
Introduction to Feedback Linearisation
Dynamic Neural Networks
Nonlinear System Approximation Using Dynamic Neural Networks
Feedback Linearisation Using Dynamic Neural Networks
Case Studies

---

1. Introduction.- 2. Fundamental Concepts.- 3. Introduction to Feedback Linearisation.- 4. Dynamic Neural Networks.- 5. Nonlinear System Approximation Using Dynamic Neural Networks.- 6. Feedback Linearisation Using Dynamic Neural Networks.- 7. Case Studies.- References.