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Advanced Methods in Mathematical Modeling

  • Konrad Świrski
Chapter
Part of the Green Energy and Technology book series (GREEN)

Abstract

The chapter presents fundamentals of mathematical modeling with special focus on “black box” models. Bio-inspired empirical models—various types of neural networks, hybrid systems with fuzzy logic, fuzzy neural networks and artificial immune systems are commonly used when there is insufficient phenomenological knowledge about objects and processes or when rapid computation is required for solutions. A multilayer perceptron structure (MLP) is used for SOFC fuel cell modeling and the presented Model Predictive Control or immune system optimization may be used in future for fuel cell operation control and optimization.

Keywords

Model Predictive Control Fuzzy Neural Network Artificial Immune System Output Channel Input Channel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

©  Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Institute of Heat EngineeringWarsaw University of TechnologyWarsawPoland

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