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Distributed and Economic Model Predictive Control : Beyond Setpoint Stabilization.
Annotation
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Berlin :
Logos Verlag Berlin,
2014.
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| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- Intro; 1 Introduction; 1.1 Motivation; 1.2 Research topic overview; 1.2.1 Distributed MPC; 1.2.2 Economic MPC; 1.3 Contributions and outline of this thesis; 2 Background; 2.1 Stabilizing MPC; 2.2 Economic MPC; 2.2.1 Average performance, optimal steady-state operation and stability; 2.2.2 Average constraints; 2.3 Summary; 3 Distributed MPC for cooperative control; 3.1 Problem setup; 3.2 Distributed MPC schemes for general cooperative control problems; 3.2.1 Distributed MPC with general cost functions; 3.2.2 Distributed MPC with separable cost functions; 3.2.3 Discussion.
- 3.3 Application to consensus and synchronization3.3.1 Example
- synchronization of linear oscillators; 3.4 Summary; 4 Economic MPC: Dissipativity, average constraints, and self-tuning terminal cost; 4.1 Dissipativity in economic MPC; 4.1.1 Necessity of dissipativity for optimal steady-state operation; 4.1.2 Robustness of dissipativity under changing constraint sets; 4.2 Average constraints; 4.2.1 Economic MPC with average constraints and terminal region; 4.2.2 Convergence in economic MPC with average constraints; 4.2.3 Economic MPC with transient average constraints; 4.2.4 Numerical Examples.
- 4.3 Economic MPC with self-tuning terminal cost4.3.1 Problem setup; 4.3.2 Average performance with time-varying terminal weight; 4.3.3 Self-tuning terminal weights; 4.3.4 Discussion; 4.3.5 Numerical examples; 4.4 Summary; 5 Distributed economic MPC; 5.1 Problem setup and distributed economic MPC scheme; 5.2 Convergence analysis of distributed economic MPC; 5.3 Application: Consensus under conflicting objective; 5.4 Summary and discussion; 6 Conclusions; 6.1 Summary and discussion; 6.2 Outlook; A Stability of discrete-time systems; B Nonlinear programming.