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...
Đã lưu trong:
| Những tác giả chính: | , , |
|---|---|
| Tác giả của công ty: | |
| Định dạng: | Điện tử eBook |
| Ngôn ngữ: | English |
| Được phát hành: |
London :
Springer London : Imprint: Springer,
2006.
|
| Phiên bản: | 1st ed. 2006. |
| Loạt: | Advances in Industrial Control,
|
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/1-84628-350-7 |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
Mục lục:
- 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.