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Total Size:
19.1 MB
Info Hash:
6205A3C4DFA3FD666709C323644FD8B84BB16D56
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Added:
June 14, 2025, 1:04 p.m.
Stats:
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(Last updated: June 14, 2025, 1:04 p.m.)
| File | Size |
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| ['Precup R. Classical and Modern Optimization Techniques Applied to Control...2025.pdf'] | 0 bytes |
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19.1 MB
[27
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2025-06-14
| Uploaded by andryold1 | Size 19.1 MB | Health [ 27 /10 ] | Added 2025-06-14 |
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260.7 MB
[15
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2023-06-19
| Uploaded by Reddington | Size 260.7 MB | Health [ 15 /4 ] | Added 2023-06-19 |
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673.2 MB
[32
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2026-03-06
| Uploaded by XXXClub | Size 673.2 MB | Health [ 32 /47 ] | Added 2026-03-06 |
NOTE
SOURCE: Precup R. Classical and Modern Optimization Techniques Applied to Control...2025
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COVER
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MEDIAINFO
Textbook in PDF format Classical and Modern Optimization Techniques Applied to Control and Modeling combines classical and modern approaches to optimization, based on the authors’ experience in the field, and presents in a unified structure the essential aspects of optimization in control and modeling from a control engineer’s point of view. It covers linear and nonlinear controllers, and neural networks based on reinforcement learning are considered and analyzed because of the need to reduce the complexity of the controllers and their design so that they can be practical to implement as low-cost automation solutions. The chapters are designed to quickly make the concepts of optimization, control, reinforcement learning, and neural networks understandable to readers with limited experience
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