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XX$3UONC000137$2FI 686 $aVIE IV$cVIETNAM - STORIA$2A 712 $aGiai Phong publishing house$3UONV271248$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00272591 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI VIE IV 068 $eSI SIN2611 5 068 996 $a10 years of the P.L.A.F$91243464 997 $aUNIOR LEADER 04133nam 22006375 450 001 9911007467203321 005 20250530130728.0 010 $a3-031-85438-1 024 7 $a10.1007/978-3-031-85438-5 035 $a(CKB)39124452700041 035 $a(DE-He213)978-3-031-85438-5 035 $a(MiAaPQ)EBC32142540 035 $a(Au-PeEL)EBL32142540 035 $a(OCoLC)1524420646 035 $a(EXLCZ)9939124452700041 100 $a20250530d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamic Models of Energy, Robotic, and Biological Systems $eSystems, Design, and Validation /$fby Jose de Jesus Rubio, Alejandro Zacarias, Jaime Pacheco 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XX, 182 p. 111 illus., 84 illus. in color.) 225 0 $aComputer Science Series 311 08$a3-031-85437-3 327 $a. 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. 330 $aDynamic 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. 606 $aComputer simulation 606 $aDynamics 606 $aBiological models 606 $aRobotics 606 $aComputer Modelling 606 $aDynamical Systems 606 $aBiological Models 606 $aRobotics 615 0$aComputer simulation. 615 0$aDynamics. 615 0$aBiological models. 615 0$aRobotics. 615 14$aComputer Modelling. 615 24$aDynamical Systems. 615 24$aBiological Models. 615 24$aRobotics. 676 $a003.3 700 $aRubio$b Jose de Jesus$4aut$4http://id.loc.gov/vocabulary/relators/aut$01821333 702 $aZacarias$b Alejandro$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPacheco$b Jaime$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007467203321 996 $aDynamic Models of Energy, Robotic, and Biological Systems$94393349 997 $aUNINA