Robot Control and Calibration Innovative Control Schemes and Calibration Algorithms /
This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme a...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Putanga: | 1st ed. 2023. |
| Rangatū: | SpringerBriefs in Computer Science,
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-981-99-5766-8 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Rārangi ihirangi:
- Chapter 1. Introduction
- Chapter 2. A Novel Model Predictive Control Scheme Based on an Improved Newton Algorithm
- Chapter 3. A Novel Recurrent Neural Network for Robot Control
- Chapter 4. A Projected Zeroing Neural Network Model for the Motion Generation and Control
- Chapter 5. A Regularization Ensemble Based on Levenberg–Marquardt Algorithm for Robot Calibration
- Chapter 6. Novel Evolutionary Computing Algorithms for Robot Calibration
- Chapter 7. A Highly Accurate Calibrator Based on a Novel Variable Step-Size Levenberg-Marquardt Algorithm
- Chapter 8. Conclusion and Future Work.