Award Data

The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. Often, linearization around a set point is the only practical approach, and many controllers implemented in hardware systems are simple linear feedback mechanisms. From proportional guidance in missiles ...

Systems Technology, Inc. proposes to use and extend new technology from the University of Florida to enable real-time use of trajectory optimization to improve the guidance of autonomous air vehicles such as those used by the U. S. Navy. These range from missiles to UAVs. Specifically this work will involve enhancements, from the University of Florida, in hp-adaptive pseudospectral optimization. T ...

This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...

Current decision tools often omit important situational context. Unfortunately, this can lead to dangerous and costly errors, as context drives decision making. For example, in operational navigation planning tasks, decisions must be made that rely on multiple information sources of different fidelities and uncertainties. Furthermore, after obtaining additional information the necessity for replan ...

FOMS Inc. and University of Southern California propose to develop the PRecision Optical Navigation Guidance (PRONG) system to provide continuous, high quality range and bearing data to fixed wing aircraft during landing approach to an aircraft carrier. The PRONG system uses infrared optical communications with advanced modulation and coding to measure range between ship and aircraft with accuracy ...

As complexity and performance requirements increases for RF sensors and systems for electronic warfare applications, the need for innovative and low-power compressive sensing (CS) technologies will become urgent in power constrained mobile platforms. There are several DOD and government application areas where this holds true and the high-performance CS technology to be developed in this program c ...

Detecting and Avoiding (DAA) manned aircraft from small Unmanned Aircraft Systems (sUAS) remains the unsolved problem for safe integration of sUAS into civil airspaces where Navy UAS must pay Due Regard to the laws of civil aviation. The difficulties are manifold. The solution requires both ultra-low SWaP sensors that track aircraft over long ranges, providing 360o field-of-regard (FOR), and often ...

We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...

Social media platforms have enhanced many communities by facilitating online development of relationships, fostering collaboration, connecting friends and supporting activism. However, these platforms are also environments for people to bully and spread hate. Furthermore, adversaries of the United States and its allies have weaponized social media to spread disinformation. Intelligent Automation, ...

ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the ...