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...
שמור ב:
| Main Authors: | , , |
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| מחבר תאגידי: | |
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | English |
| יצא לאור: |
London :
Springer London : Imprint: Springer,
2006.
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| מהדורה: | 1st ed. 2006. |
| סדרה: | Advances in Industrial Control,
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| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/1-84628-350-7 |
| תגים: |
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תוכן הענינים:
- 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.



