Predictive approaches to control of complex systems [electronic resource] / Gorazd Karer and Igor Škrjanc.
A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident...
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Full Text (via Springer) |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2013.
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| Series: | Studies in computational intelligence ;
454. |
| Subjects: |
Table of Contents:
- Hybrid dynamics
- Piecewise affine and equivalent models
- Hybrid fuzzy model
- Unsupervised learning methods for identification of complex systems
- Batch reactor
- Modeling and identification of the batch reactor: the PWA approach
- Modeling and identification of the batch reactor: the HFM approach
- Introduction to predictive control of complex systems
- Solving mixed-Integer optimization problems
- Predictive control based on a reachability analysis
- Predictive control based on a genetic algorithm
- Self-adaptive predictive control with an online local-Linear-Model identification
- Control using an inverse hybrid fuzzy model
- Conclusion.