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This book presents state-of-the-art research advances in the field
of wireless sensor networks systems and approaches. It provides
in-depth study on a number of major topics such as protocols,
localization, coverage control, community detection, small world
analysis, etc. Multidisciplinary in nature and closely integrating
theory and practice, the book will be of interest to all university
researchers, telecommunications engineers and graduate students in
wireless sensor networks who wish to learn the core principles,
methods, algorithms, and applications. It would help readers
rapidly grasp major topics of wireless sensor network and their
advances.
This book explores the design of optimal trajectories for space
maneuver vehicles (SMVs) using optimal control-based techniques. It
begins with a comprehensive introduction to and overview of three
main approaches to trajectory optimization, and subsequently
focuses on the design of a novel hybrid optimization strategy that
combines an initial guess generator with an improved gradient-based
inner optimizer. Further, it highlights the development of
multi-objective spacecraft trajectory optimization problems, with a
particular focus on multi-objective transcription methods and
multi-objective evolutionary algorithms. In its final sections, the
book studies spacecraft flight scenarios with noise-perturbed
dynamics and probabilistic constraints, and designs and validates
new chance-constrained optimal control frameworks. The
comprehensive and systematic treatment of practical issues in
spacecraft trajectory optimization is one of the book's major
features, making it particularly suited for readers who are seeking
practical solutions in spacecraft trajectory optimization. It
offers a valuable asset for researchers, engineers, and graduate
students in GNC systems, engineering optimization, applied optimal
control theory, etc.
This book explores the design of optimal trajectories for space
maneuver vehicles (SMVs) using optimal control-based techniques. It
begins with a comprehensive introduction to and overview of three
main approaches to trajectory optimization, and subsequently
focuses on the design of a novel hybrid optimization strategy that
combines an initial guess generator with an improved gradient-based
inner optimizer. Further, it highlights the development of
multi-objective spacecraft trajectory optimization problems, with a
particular focus on multi-objective transcription methods and
multi-objective evolutionary algorithms. In its final sections, the
book studies spacecraft flight scenarios with noise-perturbed
dynamics and probabilistic constraints, and designs and validates
new chance-constrained optimal control frameworks. The
comprehensive and systematic treatment of practical issues in
spacecraft trajectory optimization is one of the book's major
features, making it particularly suited for readers who are seeking
practical solutions in spacecraft trajectory optimization. It
offers a valuable asset for researchers, engineers, and graduate
students in GNC systems, engineering optimization, applied optimal
control theory, etc.
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