The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.
Evolving Rule-Based Models
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The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.
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indoor climate control systems, smart adaptive systems, trough experience, intelligent adaptive systems, existing expert knowledge, new data sample, creditworthiness assessment, real occupants, structure simplification, first principle models, consequent part, flexible parameters, rules innovation, typical convergence, credit risk assessment, flexible rules, comfort requirements, intelligent technologies, new data point, membership functions, flexible models, model precision Key Phrases - Capitalized Phrases (CAPs): (learn more)
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indoor climate control systems, smart adaptive systems, trough experience, intelligent adaptive systems, existing expert knowledge, new data sample, creditworthiness assessment, real occupants, structure simplification, first principle models, consequent part, flexible parameters, rules innovation, typical convergence, credit risk assessment, flexible rules, comfort requirements, intelligent technologies, new data point, membership functions, flexible models, model precision Key Phrases - Capitalized Phrases (CAPs): (learn more)
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This book cites 33
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16
books
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- Computer-Controlled Systems: Theory and Design (3rd Edition) by Karl Johan Astrom in Back Matter
- System Identification: Theory for the User (2nd Edition) by Lennart Ljung in Back Matter
- An Introduction to Fuzzy Control by Dimiter Driankov in Back Matter
- Optimization Models Using Fuzzy Sets and Possibility Theory (Theory and Decision Library B) by J. Kacprzyk in Back Matter
- Fuzzy Reasoning in Decision Making and Optimization (Studies in Fuzziness and Soft Computing) (v. 82) by Christer Carlsson in Front Matter
See all 33 books this book cites
- Similarity and Compatibility in Fuzzy Set Theory by Valerie V. Cross in Front Matter
- Towards Efficient Fuzzy Information Processing by Chongfu Huang in Front Matter
- Evolutionary Computation in Economics and Finance by Shu-Heng Chen in Front Matter
- Intelligent Agents and Their Applications (Studies in Fuzziness and Soft Computing) by Zhengxin Chen in Front Matter
- Aggregation Operators: New Trends and Applications (Studies in Fuzziness and Soft Computing) by Tomasa Calvo in Front Matter
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