Model Predictive Control Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model /
| Main Authors: | , , |
|---|---|
| 企业作者: | |
| 总结: | XV, 137 p. 28 illus., 25 illus. in color. text |
| 语言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2019.
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| 版: | 1st ed. 2019. |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-981-13-0083-7 |
| 格式: | 电子 图书 |
书本目录:
- 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.