eBook
System Identification and Adaptive Control
| Τίτλος: | System Identification and Adaptive Control |
|---|---|
| Περιγραφή: | Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in:• contemporary power generation;• process control and• conventional benchmarking problems.Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results. |
| Συγγραφείς: | Yiannis Boutalis, Dimitrios Theodoridis, Theodore Kottas, Manolis A. Christodoulou |
| Resource Type: | eBook. |
| Θέματα: | Artificial intelligence, Engineering, Adaptive control systems, System identification, System identification--Data processing, Industrial engineering |
| Categories: | TECHNOLOGY & ENGINEERING / Electrical, COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Industrial Engineering |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 762574 RelevancyScore: 912 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 912.106750488281 |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 629.836 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Engineering Type: general – SubjectFull: Adaptive control systems Type: general – SubjectFull: System identification Type: general – SubjectFull: System identification--Data processing Type: general – SubjectFull: Industrial engineering Type: general Titles: – TitleFull: System Identification and Adaptive Control Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yiannis Boutalis – PersonEntity: Name: NameFull: Dimitrios Theodoridis – PersonEntity: Name: NameFull: Theodore Kottas – PersonEntity: Name: NameFull: Manolis A. Christodoulou – PersonEntity: Name: NameFull: Yiannis Boutalis – PersonEntity: Name: NameFull: Dimitrios Theodoridis – PersonEntity: Name: NameFull: Theodore Kottas – PersonEntity: Name: NameFull: Manolis A. Christodoulou IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2014 – D: 21 M: 05 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9783319063638 – Type: isbn-electronic Value: 9783319063645 Titles: – TitleFull: System Identification and Adaptive Control Type: main |
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