Model Predictive Control Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model /
| Những tác giả chính: | , , |
|---|---|
| Tác giả của công ty: | |
| Tóm tắt: | XV, 137 p. 28 illus., 25 illus. in color. text |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2019.
|
| Phiên bản: | 1st ed. 2019. |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-981-13-0083-7 |
| Định dạng: | Điện tử Sách |
Mục lục:
- Introduction
- Model Predictive Control Based on Extended State Space Model
- Predictive Functional Control Based on Extended State Space Model
- Model Predictive Control Based on Extended Non-Minimal State Space Model
- Predictive Functional Control Based on Extended Non-minimal State Space Model
- Model Predictive Control Under Constraints
- PID Control Using Extended Non-minimal State Space Model Optimization
- Closed-loop System Performance Analysis
- Model Predictive Control Performance Optimized by Genetic Algorithm
- Industrial Application
- Further Ideas on MPC and PFC Using Relaxed Constrained Optimization.