This text covers fundamentals in navigation of modern aerospace vehicles. It is an excellent resource for both graduate students and practicing engineers.
This text covers fundamentals in navigation of modern aerospace vehicles. It is an excellent resource for both graduate students and practicing engineers.
Pierre T. Kabamba is a Professor of Aerospace Engineering at the University of Michigan. Professor Kabamba's research interests include linear and nonlinear dynamic systems, robust control, guidance and navigation, and intelligent control. His recent research activities are aimed at the development of a quasilinear control theory that is applicable to linear plants with nonlinear sensors or actuators. He has also done work in the design, scheduling, and operation of multi-spacecraft interferometric imaging systems used to obtain images of exosolar planets. Moreover, he has also done work in the analysis and optimization of random search algorithms. Finally, he is also doing work in simultaneous path planning and communication scheduling for unmanned aerial vehicles (UAVs) under the constraint of radar avoidance. He is author or co-author of more than 170 publications featured in refereed journals and conferences and of numerous book chapters.
Inhaltsangabe
1. Introduction 2. Deterministic systems theory 3. Stochastic systems theory 4. Navigation 5. Homing guidance 6. Ballistic guidance 7. Midcourse guidance 8. Optimization 9. Optimal guidance 10. Introduction to differential games Epilogue A. Useful definitions and mathematical results A.1. Results from topology A.2. Results from linear algebra A.3. Taylor's theorem A.4. Newton's method A.5. The implicit function theorem.
1. Introduction 2. Deterministic systems theory 3. Stochastic systems theory 4. Navigation 5. Homing guidance 6. Ballistic guidance 7. Midcourse guidance 8. Optimization 9. Optimal guidance 10. Introduction to differential games Epilogue A. Useful definitions and mathematical results A.1. Results from topology A.2. Results from linear algebra A.3. Taylor's theorem A.4. Newton's method A.5. The implicit function theorem.
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