Control System Design and Nonlinear Models An emerging area of research is the utilization of interspacecraft Coulomb forces for both position and attitude control. This has applications from spacecraft formation flying to active “virtual” structures that are highly reconfigurable and robust to individual spacecraft failure. Spacecraft force coupling and the nonlinear electrostatic force behavior provide a variety of interesting technical challenges from nonlinear control to optimal formation design. Similar research topic areas such as, nonlinear control, system simulation, nonlinear system parameter identification and optimization, are present in most of his ongoing projects. Examples include active control of diesel engine aftertreatment systems, at-sea ship crane control, and hydraulic system parameter identification. Another research area is focused on increasing robot-based, flexible material throughput for manufacturing
applications. The system dynamics of the part are exploited, in conjunction with vision-based trajectory optimization, to minimize maneuver time. |
Statistical Modeling and Inference for Computational Imaging and Signal Analysis This is an extensive research program exploring the application of statistical modeling and inference to problems in computational imaging and signal analysis. Formative work was conducted in the area of multi-frame blind deconvolution with physical system-constraints. More recently, the program has been oriented toward system design and analysis for computational sensing and imaging; image restoration and synthesis with system uncertainties; active imaging with sparse arrays; multi-spectral mine detection; and image recovery from intensity measurements. The work has cross-cutting application including aeronautical and aerospace engineering. |
GIS Software Development for Optimization of Web Map Services This work is focused on Geographic Information Systems (GIS) technology that enables the research team to collate and analyze information from diverse data sets very rapidly. This GIS integrating technology draws upon and extends existing techniques. Other areas of interest include Cartography, GeoComputation, and Economic Geography. |
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