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"This book provides readers with invaluable overviews and updates of the most important topics in the radiation-effects field, enabling them to face significant challenges in the quest for the insertion of ever-higher density and higher performance electronic components in satellite systems. Readers will benefit from the up-to-date coverage of the various primary (classical) sub-areas of radiation effects, including the space and terrestrial radiation environments, basic mechanisms of total ionizing dose, digital and analog single-event transients, basic mechanisms of single-event effects, system-level SEE analysis, device-level, circuit-level and system-level hardening approaches, and radiation hardness assurance. Additionally, this book includes in-depth discussions of several newer areas of investigation, and current challenges to the radiation effects community, such as radiation hardening by design, the use of Commercial-Off-The-Shelf (COTS) components in space missions, CubeSats and SmallSats, the use of recent generation FPGAs in space, and new approaches for radiation testing and validation. The authors provide essential background and fundamentals, in addition to information on the most recent advances and challenges in the sub-areas of radiation effects.- Provides a concise introduction to the fundamentals of radiation effects, latest research results, and new test methods and procedures;- Discusses the radiation effects and mitigation solutions for advanced integrated circuits and systems designed to operate in harsh radiation environments;- Includes coverage of the impact of Small Satellites in the space industry."

"Roket reusable menjadi solusi dari tingginya biaya peluncuran roket. Dengan adanya roket yang dapat digunakan kembali, produsen roket tidak harus membuat roket baru untuk tiap peluncuran. Namun dengan banyaknya aspek yang perlu dikendalikan dalam pendaratan roket, diperlukan pengendalian yang rumit dengan pengetahuan mendalam mengenai model roket untuk menghasilkan pendaratan roket yang baik. Pada penelitian ini diajukan pengendali dengan proses perancangan yang lebih sederhana menggunakan reinforcement learning dengan algoritma Deep Deterministic Policy Gradient (DDPG) dengan fokus perancangan pada pencarian fungsi reward. Hasil pengendalian kemudian dibandingkan dengan pengendali PID dan pengendali DDPG dari penelitian terdahulu.

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Reusable rocket is the ultimate solution of high rocket launch cost. With rockets being reusable, companies don’t have to make new rockets for every flight. But controlling rocket landing is not easy. With so many aspects needed to be controlled, complicated control system and in-depth knowledge about each rocket models are inevitable. This research proposes a controller with simpler design method using reinforcement learning with Deep Deterministic Policy Gradient (DDPG) algorithm which focuses on reward shaping. The result is then compared with PID and DDPG controllers from previous research."

"This book reviews the many reasons for exploring our stellar neighbors using robotic probes, and closely examines new technologies for constructing space probes that can traverse the enormous distances between the stars."