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Total Size:
64.5 MB
Info Hash:
0070B9D6821215503075D9001D5B7BB27C6ECF63
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Added:
June 13, 2025, 8:35 p.m.
Stats:
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(Last updated: June 13, 2025, 8:36 p.m.)
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| ['Rigatos G. Intelligent Control for Electric Power Systems...Electric Vehicl.2024.pdf'] | 0 bytes |
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67.9 MB
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| Uploaded by indexFroggy | Size 67.9 MB | Health [ 25 /4 ] | Added 2023-07-01 |
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202.6 MB
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| Uploaded by andryold1 | Size 202.6 MB | Health [ 47 /15 ] | Added 2025-06-12 |
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18.3 MB
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2025-06-13
| Uploaded by andryold1 | Size 18.3 MB | Health [ 10 /30 ] | Added 2025-06-13 |
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64.5 MB
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2025-06-13
| Uploaded by andryold1 | Size 64.5 MB | Health [ 39 /17 ] | Added 2025-06-13 |
NOTE
SOURCE: Rigatos G. Intelligent Control for Electric Power Systems...Electric Vehicl.2024
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COVER
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MEDIAINFO
Textbook in PDF format The present monograph offers a detailed and in-depth analysis of the topic of Intelligent Control for Electric Power Systems and Electric Vehicles. The monograph provides a comprehensive analysis of various control methods, including nonlinear optimal control, Lie algebra-based control, and differential flatness theory. It addresses the control of electric motors, VSI-fed PMSMs, and energy conversion chains based on PMSMs and induction machines. The work also explores multi-phase machines in gas processing, spherical permanent magnet synchronous motors, traction systems in electric and hybrid vehicles, and renewable power units alongside heat management systems
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