Economic model predictive control : theory, formulations and chemical process applications
This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational ef...
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| Main Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Switzerland :
Springer,
[2016]
|
| Series | Advances in industrial control.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319411088 9783319411071 |
| ISSN | 1430-9491 |
| Physical Description | 1 online resource (xxiv, 292 pages) : illustrations (some color) |
Cover
Table of Contents:
- Introduction
- Background on Nonlinear Systems, Control, and Optimization
- Brief Overview of EMPC Methods and some Preliminary Results
- Lyapunov-Based EMPC
- State Estimation and EMPC
- Two-Layer EMPC Systems
- EMPC Systems: Computational Efficiency and Real-Time Implementation.