Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures
This book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process nonlinearity. Unfortunately, the model's structure is limi...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2022, 2022
|
| Edition: | 1st ed. 2022 |
| Series: | Studies in Systems, Decision and Control
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction to Model Predictive Control
- MPC Algorithms Using Input-Output Wiener Models
- MPC Algorithms Using State-Space Wiener Models
- Conclusions
- Index