The 4D-TECS integration for NASA TSRV airplane

The integration of the Total Energy Control System (TECS) concept with 4D navigation is described. This integration was made to increase the operational capacity of modern aircraft and encourage incorporation of this increased capability with the evolving National Airspace System (NAS). Described herein is: 4D smoothing, the basic concepts of TECS, the spoiler integration concept, an algorithm for nulling out time error, speed and altitude profile modes, manual spoiler implementation, 4D logic, and the results of linear and nonlinear analysis

On the Development of GNC Algorithm for a High-Glide Payload Delivery System

42nd IEEE Conference on Decision and Control, Maui, HI, December 8-12, 2003

In-stride Optimal Motion Planning/re-planning for MCM Missions using Optimization

NPS NRP Executive SummaryIn-stride Optimal Motion Planning/re-planning for MCM Missions using OptimizationN8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Modeling High Power Microwave Engagements Versus Swarming Adversaries

NPS NRP Executive SummaryHigh-power microwave (HPM) weapons use electromagnetic waves to neutralize electronic hardware, making them an ideal candidate to defeat drones. The effectiveness of HPM weapons is determined by their intensity, their spatial effect profile, and the mobility or spatial location of the HPM weapon platforms. NPS researchers have developed modeling approaches to perform mission-level studies of effects of such weapons, including determination of optimal tactics, determination of minimum platform specifications for mission success, and trade-off analysis between parameters.Office of Naval Research (ONR)ASN(RDA) - Research, Development, and AcquisitionThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Clandestine Mine Countermeasures Optimization for Autonomy and Risk Assessment

NPS NRP Technical ReportThe PRC and Russia are the greatest miners in the world and are prepared to employ mines to tilt the Great Power Competition (GPC) in their favor. Mines are inexpensive, easily deployed, and put Distributed Maritime Operations (DMO) at high-risk. Countering mines within acceptable risk levels and mission timelines is required to support DMO operational requirements. Although the development and integration of autonomous vehicles should improve DMO, research and development of new tools for optimizing distributed search effort are required to minimize risk to the force. These tools must consider the constraints placed on mine countermeasures (MCM) by the challenges of GPC. Today's MCM systems, for example, rely on surface and airborne assets, with associated force protection burdens required to establish and maintain a permissive environment. In the future, naval forces must be prepared to operate in contested environments where overt operations are denied and supporting technologies (GPS, communications, etc.) are severely limited. Autonomous underwater vehicles (AUVs) have potential to conduct clandestine MCM operations, but new approaches for conducting collaborative search with multiple AUVs are needed to fully realize their potential. Research is required to identify and assess new methods for conducting entirely clandestine MCM.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Clandestine Mine Countermeasures Optimization for Autonomy and Risk Assessment

NPS NRP Executive SummaryThe PRC and Russia are the greatest miners in the world and are prepared to employ mines to tilt the Great Power Competition (GPC) in their favor. Mines are inexpensive, easily deployed, and put Distributed Maritime Operations (DMO) at high-risk. Countering mines within acceptable risk levels and mission timelines is required to support DMO operational requirements. Although the development and integration of autonomous vehicles should improve DMO, research and development of new tools for optimizing distributed search effort are required to minimize risk to the force. These tools must consider the constraints placed on mine countermeasures (MCM) by the challenges of GPC. Today's MCM systems, for example, rely on surface and airborne assets, with associated force protection burdens required to establish and maintain a permissive environment. In the future, naval forces must be prepared to operate in contested environments where overt operations are denied and supporting technologies (GPS, communications, etc.) are severely limited. Autonomous underwater vehicles (AUVs) have potential to conduct clandestine MCM operations, but new approaches for conducting collaborative search with multiple AUVs are needed to fully realize their potential. Research is required to identify and assess new methods for conducting entirely clandestine MCM.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Cosmic ray modulation by high-speed solar wind fluxes

Cosmic ray intensity variations connected with recurrent high-speed fluxes (HSF) of solar wind are investigated. The increase of intensity before the Earth gets into a HSF, north-south anisotropy and diurnal variation of cosmic rays inside a HSF as well as the characteristics of Forbush decreases are considered

meV resolution in laser-assisted energy-filtered transmission electron microscopy

The electronic, optical, and magnetic properties of quantum solids are determined by their low-energy (< 100 meV) many-body excitations. Dynamical characterization and manipulation of such excitations relies on tools that combine nm-spatial, fs-temporal, and meV-spectral resolution. Currently, phonons and collective plasmon resonances can be imaged in nanostructures with sub-nm and 10s meV space/energy resolution using state-of-the-art energy-filtered transmission electron microscopy (TEM), but only under static conditions, while fs-resolved measurements are common but lack spatial or energy resolution. Here, we demonstrate a new method of spectrally resolved photon-induced near-field electron microscopy (SRPINEM) that allows us to obtain nm-fs-resolved maps of nanoparticle plasmons with an energy resolution determined by the laser linewidth (20 meV in this work), and not limited by electron beam and spectrometer energy spreading. This technique can be extended to any optically-accessible low-energy mode, thus pushing TEM to a previously inaccessible spectral domain with an unprecedented combination of space, energy and temporal resolution.Comment: 19 pages, 7 figure

On the Development and Pre-Flight Testing of the Affordable Guided Airdrop System for G-12 Cargo Parachute

16th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar, Boston, MA, May 21-24, 2001

Plant / Controller Optimization with applications to Integrated Surface Sizing and Feedback Controller Design for Autonomous Underwater Vehicles (AUVs)

This paper describes a solution to the following plant controller optimization (PCO) problem: given an autonomous underwater vehicle (AUV) - with a fixed baseline body configuration - that is required to operate over a finite number of representative trimming conditions in the vertical plane, determine the optimal size of the bow and stern control surfaces so that a weighted average J of the power required at trimming is minimized, subject to the conditions that: i) a given set of open loop requirements are met, and ii) stabilizing feedback controllers can be designed to meet desired time and frequency closed loop performance requirements about each trimming point. The solution proposed is rooted in the theory of Linear Matrix Inequalities (LMIs) and leads to efficient PCO algorithms that build on a recently released LMI Toolbox.The work of C. Silvestre and A. Pascoal was partially supported by the Portuguese PRAXIS XXI Programme under the INFANTE project. The work of the first author was also supported by NATO Scholarship 17/A/94/PO The second author benefited from a NATO Fellowship during his 1996-98 sabbatical at the Naval Postgraduate School