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Hybrid Soft Computing Models for Systems Modeling and Control

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Computational Complexity

  • 212 Accesses

Article Outline

Glossary

Definition of the Subject

Introduction

Genetic Algorithm for Optimization

Evolution of Fuzzy Systems

Application to Anesthesia Control

Application to the Control of the Bar and Ball System

Hierarchical Genetic Algorithms for Neural Networks

Experimental Results for Time Series Prediction

Conclusions

Future Directions

Bibliography

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Abbreviations

Hybrid intelligent systems:

Intelligent Systems that are build using a combination of soft computing techniques. In particular, Soft Computing includes fuzzy logic, neural networks, genetic algorithms or hybrid approaches.

Intelligent control:

The application of intelligent techniques for achieving the control of non‐linear plants. In particular, the use of fuzzy logic, neural networks, genetic algorithms or hybrid approaches for designing intelligent controllers.

Soft computing:

Soft Computing is a new area of Computer Science that deals with new intelligent methodologies that combine symbolic and numerical calculations.In particular, Soft Computing includes, at the moment, methodologies like fuzzy logic, neural networks, genetic algorithms or hybrid approaches.

Fuzzy systems :

Intelligent systems that are developed based on the theory of fuzzy logic, fuzzy inference and membership functions, and fuzzy rules. Fuzzy systems are able to manage the uncertainty of the decision process of humans, and for this reason are able to mimic the expert decision process in automation applications.

Genetic algorithms:

Genetic algorithms are search optimization techniques that mimic natural evolution for finding solution to complex problems. In particular, genetic algorithms use operators to generate new candidate solutions based on the selection of previous good solutions.

Evolution of fuzzy systems:

Application of evolutionary algorithms to the optimization of number of fuzzy rules and membership functions, as well as the parameter values of the fuzzy system.

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Author information

Authors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo & Patricia Melin

Authors
  1. Oscar Castillo
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  2. Patricia Melin
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Editor information

Editors and Affiliations

  1. RAMTECH LIMITED, 122 Escalle Lane, Larkspur, CA, 94939, USA

    Robert A. Meyers Ph. D. (Editor-in-Chief) (Editor-in-Chief)

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© 2012 Springer-Verlag

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Castillo, O., Melin, P. (2012). Hybrid Soft Computing Models for Systems Modeling and Control. In: Meyers, R. (eds) Computational Complexity. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1800-9_99

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