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Zhang functions and various models [electronic resource]
- 作者: Zhang, Yunong.
- 其他作者:
- 出版: Berlin, Heidelberg : Springer Berlin Heidelberg :Imprint: Springer
- 主題: Functions , Neural networks (Computer science)--Mathematics. , Engineering , Computational intelligence , Information and Communication, Circuits. , Coding and Information Theory. , Robotics and Automation. , Control.
- ISBN: 9783662473344 (electronic bk.) 、 9783662473337 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Part I Scalar-Valued ZF in Real Domain -- Time-Varying Reciprocal -- Time-Varying Inverse Square Root -- Time-Varying Square Root -- Part II Vector-Valued ZF in Real Domain -- System of Time-Varying Linear Equations -- Over-Determined and Under-Determined Systems of Time-Varying Linear Equations -- Time-Varying Linear Matrix-Vector Inequality -- Part III Matrix-Valued ZF in Real Domain -- Time-VaryingMatrix Inverse -- Time-VaryingMatrix Left Pseudoinverse -- Time-VaryingMatrix Right Pseudoinverse -- Time-VaryingMatrix Square Root -- Part IV ZF in Complex Domain -- Time-Varying Complex Reciprocal -- Time-Varying Complex Matrix Inverse -- Time-Varying Complex Matrix Generalized Inverse -- Part V ZF Application to Robot Control -- Application to Fixed-Base Robot RMP -- Application to Mobile Robot RMP.
- 摘要註: This book focuses on solving different types of time-varying problems. It presents various Zhang dynamics (ZD) models by defining various Zhang functions (ZFs) in real and complex domains. It then provides theoretical analyses of such ZD models and illustrates their results. It also uses simulations to substantiate their efficacy and show the feasibility of the presented ZD approach (i.e., different ZFs leading to different ZD models), which is further applied to the repetitive motion planning (RMP) of redundant robots, showing its application potential.
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讀者標籤:
- 系統號: 005133869 | 機讀編目格式
館藏資訊
This book focuses on solving different types of time-varying problems. It presents various Zhang dynamics (ZD) models by defining various Zhang functions (ZFs) in real and complex domains. It then provides theoretical analyses of such ZD models and illustrates their results. It also uses simulations to substantiate their efficacy and show the feasibility of the presented ZD approach (i.e., different ZFs leading to different ZD models), which is further applied to the repetitive motion planning (RMP) of redundant robots, showing its application potential.
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