Nonlinear H2/H-Infinity Constrained Feedback Control A Practical Design Approach Using Neural Networks /
Modern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| مؤلف مشترك: | |
| التنسيق: | الكتروني كتاب الكتروني |
| اللغة: | English |
| منشور في: |
London :
Springer London : Imprint: Springer,
2006.
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| الطبعة: | 1st ed. 2006. |
| سلاسل: | Advances in Industrial Control,
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/1-84628-350-7 |
| الوسوم: |
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جدول المحتويات:
- Preliminaries and Introduction
- Policy Iterations and Nonlinear H 2 Constrained State Feedback Control
- Nearly H 2 Optimal Neural Network Control for Constrained-Input Systems
- Policy Iterations and Nonlinear H ? Constrained State Feedback Control
- Nearly H ? Optimal Neural Network Control for Constrained-Input Systems
- Taylor Series Approach to Solving HJI Equation
- An Algorithm to Solve Discrete HJI Equations Arising from Discrete Nonlinear H ? Control Problems
- H ? Static Output Feedback.



