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Dynamic models are essential for understanding the system dynamics. It is of importance because one mistake in experiments could cause accidents or damages, while one mistake in the simulation of dynamic models could cause nothing.
Each system has a different dynamic model; hence, this book presents the designs of 10 dynamic models which are mainly classified in two ways. The first kind of dynamic models are mainly obtained by the Euler Lagrange method and described by differential equations. The second kind of dynamic models are mainly obtained by the neural networks and described by difference equations.
Topics and features:
- Contains the dynamic models of energy systems
- Derives dynamic models of energy systems by the Euler Lagrange method
- Includes the dynamic models of robotic systems
- Contains the dynamic models of biological systems
- Derives dynamic models of robotic systems by the Euler Lagrange method
- Obtains dynamic models of biological systems by neural networks
This book is expected to be used primary by researchers and secondary by students and in the areas of control, robotics, energy, biological, mechanical, mechatronics, and computing systems.
Jose de Jesus Rubio, Alejandro Zacarias, and
Jaime Pacheco are full Professors affiliated with the ESIME Azcapotzalco, Instituto Politécnico Nacional, Sección de Estudios de Posgrado e Investigación, Ciudad de México, México.
List of contents
. 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.
About the author
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 182 international journal papers with 4115 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, 26 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.
Alejandro Zacarias is a full time professor of the Sección de Estudios de Posgrado e Investigación, ESIME Azcapotzalco, Instituto Politécnico Nacional. He has published 31 papers in International Journals with 591 cites from Scopus. He has been Tutor of 9 Ph.D. students, 21 M.S. students, and 30 B.S. students. His fields of interest are solar energy, biofuels, boiling heat, control.
Jaime Pacheco is a full time professor of the Sección de Estudios de Posgrado e Investigación, ESIME Azcapotzalco, Instituto Politécnico Nacional. He has published 56 papers in International Journals with 989 cites from Scopus. He has been Tutor of 12 Ph.D. students, 47 M.S. students, 3 S. students, and 6 B.S. students. His fields of interest are robotic systems, modeling, intelligent systems, control.
Summary
Dynamic models are essential for understanding the system dynamics. It is of importance because one mistake in experiments could cause accidents or damages, while one mistake in the simulation of dynamic models could cause nothing.
Each system has a different dynamic model; hence, this book presents the designs of 10 dynamic models which are mainly classified in two ways. The first kind of dynamic models are mainly obtained by the Euler Lagrange method and described by differential equations. The second kind of dynamic models are mainly obtained by the neural networks and described by difference equations.
Topics and features:
- Contains the dynamic models of energy systems
- Derives dynamic models of energy systems by the Euler Lagrange method
- Includes the dynamic models of robotic systems
- Contains the dynamic models of biological systems
- Derives dynamic models of robotic systems by the Euler Lagrange method
- Obtains dynamic models of biological systems by neural networks
This book is expected to be used primary by researchers and secondary by students and in the areas of control, robotics, energy, biological, mechanical, mechatronics, and computing systems.
Jose de Jesus Rubio, Alejandro Zacarias, and
Jaime Pacheco are full Professors affiliated with the ESIME Azcapotzalco, Instituto Politécnico Nacional, Sección de Estudios de Posgrado e Investigación, Ciudad de México, México.
