An effective rigid body math model / Dave Knopp
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Item type | Current library | Home library | Collection | Shelving location | Call number | Status | Date due | Barcode |
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NU Fairview College LRC | NU Fairview College LRC | School of Engineering and Technology | General Circulation | GC QA 861 K56 2022 (Browse shelf(Opens below)) | Available | NUFAI000005638 |
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GC QA 371 Z55 2014 A First Course in Differential Equations with Modeling Application | GC QA 839 C44 2017 Evolution of motions of a rigid body about its center of mass / | GC QA 861 K56 2013 Rigid body dynamics for beginners : euler angles & quaternions / | GC QA 861 K56 2022 An effective rigid body math model / | GC QA 9 G66 2022 Mathematical logic through Python / | GC QC 125.2 C53 2019 Classical mechanics / | GC QC 176 L39 2019 Solid state physics / |
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Part 1 : Chapter 1 : Preface. -- Chapter 2 : Introduction. -- Chapter 3 : Preliminaries and context. -- Part 2 : Rigid body transformations: Static scenarios. -- Chapter 4 : State. -- Chapter 5 : Transformation components. -- Chapter 6 : Full rigid body transformation. -- Part 3 : Rigid body transformation : kinetics and derivatives. -- Chapter 7 : Motion. -- Chapter 8 : Transformation derivatives. -- Part 4 : Practical considerations. -- Chapter 9 : Observations and parameter recovery. -- Chapter 10 : Useful differentiation relationships. -- Part 5 : Concluding remarks. -- Chapter 11 : Practical observations. -- Part 6 : Appendices. -- A. Useful geometric algebra items. -- B. bivectors and rotation. -- C. Transformation concepts. -- D. Exponential function derivatives. -- Bibliography.
This book offers a practical and concise formulation of the geometry and mathematics associated with position and attitude of a rigid body in 3D space. The material is presented as a practical technical synopsis containing useful formulas and expressions presented in context of general descriptions and underlying physical interpretations. The content is structured as a useful working-reference intended for those who are developing algorithms and applications involved with modelling, measuring and/or controlling rigid objects in our physical world.
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