Teil der Reihe: Computer Science (R0)

Dynamic Models of Energy, Robotic, and Biological Systems

Name: Dynamic Models of Energy, Robotic, and Biological Systems
Brand: Jose de Jesus Rubio
SKU: 9783031854385
Price: 181.89 EUR
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Systems, Design, and Validation

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Inhaltsangabe

. Dynamic model of a wind turbine for the electric energy generation.- 2. An electricity generator based on the interaction of static and dynamic magnets.- 3. Dynamic model of an electric vehicle with energy recovery.- 4. Modeling and control of a fuel cell.- 5. Dynamic model with sensor and actuator for a transelevator.- 6. Dynamic model with sensor and actuator for an articulated robotic arm.- 7. Inverse dynamics model of a delta-type parallel robot.- 8. Acquisition system and approximation of brain signals.- 9. A method for online pattern recognition of abnormal eye movements.- 10. A method with neural networks for the classi.cation of fruits and vegeta-bles.

Produktdetails

Erscheinungsdatum: 30.05.2025
Autor/Autorin: Jose de Jesus Rubio,Alejandro Zacarias,Jaime Pacheco
Reihe: Computer Science (R0)
Format: E-Book
Dateiformat: PDF
Kopierschutz: Wasserzeichen
Dateigröße: 13.5 MB
Verlag: SPRINGER
Sprache: Englisch
Umfang: 250 Seiten
ISBN: 9783031854385
Lieferung: Sofort per Download
Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.

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Dynamic Models of Energy, Robotic, and Biological Systems

€181,89

Autor/Autorin

Jose de Jesus Rubio

Jose de Jesus Rubio is a full time professor of the Sección de Estudios de Posgrado e Investigación, ESIME Azcapotzalco, Instituto Politécnico Nacional. He has published over 183 international journal papers with 4130 cites from Scopus. He has been Senior Editor of IEEE Transactions on Neural Networks and Learning Systems. He has been Associate Editor of IEEE Transactions on Fuzzy Systems, Neural Networks, Neural Computing & Applications, Frontiers in Neurorobotics. He has been Guest Editor of Neurocomputing, Applied Soft Computing, Journal of Supercomputing, Mathematics, Sensors, Machines, Computational Intelligence and Neuroscience, Frontiers in Psychology, Journal of Real-Time Image Processing, Computer Science and Information Systems. He has been Tutor of 4 P.Ph.D. students, 27 Ph.D. students, 48 M.S. students, 4 S. students, and 17 B.S. students. His fields of interest are robotic systems, energy systems, modeling, intelligent systems, control.

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Chapter 1 Introduction.- Chapter 2 An uniformly stable backpropagation algorithm to train a feedforward neural network.- Chapter 3 Analytic neural network model of a wind turbine.- Chapter 4 Interpolation neural network model of a manufactured wind turbine.- Chapter 5 Uniform stable radial basis function neural network for the prediction in two mechatronic processes.- Chapter 6 Usnfis: uniform stable neuro fuzzy inference system.- Chapter 7 Sofmls: online self-organizing fuzzy modified least square network.- Chapter 8 Evolving intelligent system for the modeling of nonlinear systems with dead-zone input.- Chapter 9 Evolving intelligent algorithms for the modeling of brain and eye signals.- Chapter 10 Msafis: an evolving fuzzy inference system.- Chapter 11 Error convergence analysis of the safis and msafis.

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