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Judul Dynamic Modeling and Simulation for Control Systems, 2nd Edition / Adrian Olaru (editor)
Pengarang Olaru, Adrian (editor)
Frumusanu, Gabriel (editor)
Alexandru, Catalin (editor)
Penerbitan Basel, Switzerland : MDPI AG, 2024
Deskripsi Fisik 228 p. :ill.
ISBN 978-3-7258-1814-3
Subjek DYNAMICS--MATHEMATICAL MODELS
MECHANICAL ENGINEERING--MATHEMATICAL MODELS
Abstrak This special issue contains all the articles published in the Special Issue “Dynamic Modeling and Simulation for Control Systems, Second Edition” from the MDPI Mathematics journal. This Special Issue is a follow-up to our first successful edition. It offers researchers and practitioners a platform to explore topics related to the dynamic modeling, simulation, and optimization of control systems in various engineering fields. The aim is to cover vital aspects of optimizing the dynamic behavior of physical systems using algorithms and artificial intelligence. The applications span diverse areas such as astronautics, aerospace, avionics, robotics, manufacturing systems, mechanical engineering, power energy, materials technology, and neurorehabilitation. We hope this Special Issue will make a significant contribution to the research on modeling, simulation, and optimization techniques for dynamic control systems.
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Lokasi Akses Online https://mdpi-res.com/bookfiles/book/10023/Dynamic_Modeling_and_Simulation_for_Control_Systems_2nd_Edition.pdf?v=1774491008

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
134026192 620.001 185 Giu d Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
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100 0 # $a Olaru, Adrian (editor)
245 1 # $a Dynamic Modeling and Simulation for Control Systems, 2nd Edition /$c Adrian Olaru (editor)
260 # # $a Basel, Switzerland :$b MDPI AG,$c 2024
300 # # $a 228 p. : $b ill.
520 # # $a This special issue contains all the articles published in the Special Issue “Dynamic Modeling and Simulation for Control Systems, Second Edition” from the MDPI Mathematics journal. This Special Issue is a follow-up to our first successful edition. It offers researchers and practitioners a platform to explore topics related to the dynamic modeling, simulation, and optimization of control systems in various engineering fields. The aim is to cover vital aspects of optimizing the dynamic behavior of physical systems using algorithms and artificial intelligence. The applications span diverse areas such as astronautics, aerospace, avionics, robotics, manufacturing systems, mechanical engineering, power energy, materials technology, and neurorehabilitation. We hope this Special Issue will make a significant contribution to the research on modeling, simulation, and optimization techniques for dynamic control systems.
650 # # $a DYNAMICS--MATHEMATICAL MODELS
650 # # $a MECHANICAL ENGINEERING--MATHEMATICAL MODELS
700 0 # $a Alexandru, Catalin (editor)
700 0 # $a Frumusanu, Gabriel (editor)
856 # # $a https://mdpi-res.com/bookfiles/book/10023/Dynamic_Modeling_and_Simulation_for_Control_Systems_2nd_Edition.pdf?v=1774491008
990 # # $a 134026192
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