This interdisciplinary thesis involves the design and analysis of coordination algorithms on networks, identification of dynamic networks and estimation on networks with random geometries with implications for networks that support the operation of dynamic systems, e.g., formations of robotic vehicles, distributed estimation via sensor networks. The results have ramifications for fault detection and isolation of large-scale networked systems and optimization models and algorithms for next generation aircraft power systems. The author finds novel applications of the methodology in energy systems, such as residential and industrial smart energy management systems.

This two-volume handbook presents advanced research and operational information about hard minerals and hydrocarbons. It provides information in an integrated, interdisciplinary manner, stressing case histories. It includes review chapters, illustrations, graphs, tables, and color satellite images that present the results of gravity, geodetic, and seismic surveys and of 3-D sea floor sub-bottom visualizations. The data was obtained using satellites, aircraft, and ships from the Atlantic and Pacific Oceans, the Gulf of Mexico, and the Caribbean Sea. Major topics addressed in these volumes include geophysical methods used to explore for hydrocarbons, advanced radiometric and electrical methods for hard mineral searches, the role of geotechnology and seismic acoustics in overcoming geological hazards in selecting drilling sites and pipeline routes, and remote sensing techniques used to determine the physical properties of sediments.

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.