Abstract: Disclosed are systems and methods for operations and maintenance (O&M) systems for controlling the operation of a second system, wherein the second system includes a plurality of objects (i.e., components and/or subsystems). The O&M system comprises means for evaluating at least one of the plurality of objects using a first model to produce a first prediction of a characteristic of the object; evaluating at least one of the plurality of objects using a second model to produce a second prediction of the characteristic of the object, the second model being dissimilar to the first model; generating a final prediction of the characteristic of the object as a function of dynamic weightings of the first prediction and the second prediction; and, executing an operational or maintenance decision with respect to the second system as a function of the final prediction of the characteristic of the at least one of the plurality of objects.

Abstract: An operations and maintenance system for unique objects that includes a database subsystem that stores first and second distinct digital twins for each of the unique objects; at least one of the digital twins has an identifier that uniquely associates it with one of the unique objects and defines a unique virtual representation thereof. A virtual sensor subsystem emulates operational data for ones of the objects; the virtual sensor subsystem is not dependent on sensors physically associated with ones of the unique objects. A digital twin comparison subsystem compares outputs of the first and second distinct digital twins for each of the unique objects; the output of at least one of the first and second digital twins is a function of the emulated operational data for its associated object, and the system makes an operational or maintenance decision with respect to an object as a function of the comparison.

Abstract: A distributed analytics system to control an operation of a monitored system, and method of operation thereof, including an architect subsystem and an edge processing device. The edge subsystem includes an edge processing device associated with the monitored system. The architect subsystem is configured to deploy an analytic model to the edge processing device based on characteristics of the monitored system. The edge processing device is configured to receive the analytic model and independently perform predictive and prescriptive analytics on dynamic input data associated with the monitored system, provide control signals to the monitored system according to the predictive and prescriptive analytics, and provide information to the architect subsystem, including monitored system responses to the control signals. The architect subsystem is configured to modify the analytic model to improve system performance of the monitored system.

Abstract: A distributed analytics system to control an operation of a monitored system, and method of operation thereof, including an architect subsystem and an edge processing device. The edge subsystem includes an edge processing device associated with the monitored system. The architect subsystem is configured to deploy an analytic model to the edge processing device based on characteristics of the monitored system. The edge processing device is configured to receive the analytic model and independently perform predictive and prescriptive analytics on dynamic input data associated with the monitored system, provide control signals to the monitored system according to the predictive and prescriptive analytics, and provide information to the architect subsystem, including monitored system responses to the control signals. The architect subsystem is configured to modify the analytic model to improve system performance of the monitored system.

Abstract: Operations and maintenance (O&M) system, and related methods, for a plurality of objects employing distinct digital twins. The O&M system comprises: a database subsystem for storing first and second distinct digital twins for each of the plurality of objects, each of the distinct digital twins having an identifier that associates it with one of the plurality of objects and which defines a virtual representation thereof. The system further includes a sensor subsystem operative to obtain operational data for the plurality of objects, and a digital twin comparison subsystem operative to compare outputs of the at least first and second distinct digital twins for each of the plurality of objects; the output of each distinct digital twin is a function of the operational data for its associated object, and the O&M system makes an operational or maintenance decision with respect to an object as a function of the comparison.

Abstract: A distributed analytics system to control an operation of a monitored system, and method of operation thereof, including an architect subsystem and an edge processing device. The edge subsystem includes an edge processing device associated with the monitored system. The architect subsystem is configured to deploy an analytic model to the edge processing device based on characteristics of the monitored system. The edge processing device is configured to receive the analytic model and independently perform predictive and prescriptive analytics on dynamic input data associated with the monitored system, provide control signals to the monitored system according to the predictive and prescriptive analytics, and provide information to the architect subsystem, including monitored system responses to the control signals. The architect subsystem is configured to modify the analytic model to improve system performance of the monitored system.

Abstract: Operations and maintenance (O&M) system, and related methods, for a plurality of unique objects employing distinct digital twins. The O&M system comprises: a database subsystem for storing at least first and second distinct digital twins for each of the plurality of unique objects, each of the distinct digital twins having an identifier that uniquely associates it with one of the plurality of unique objects and which defines a unique virtual representation thereof. The system further includes a sensor subsystem operative to obtain operational data for each of the plurality of unique objects, and a digital twin comparison subsystem operative to compare outputs of the at least first and second distinct digital twins for each of the plurality of unique objects; the output of each distinct digital twin is a function of the operational data for its associated unique object, and the O&M system makes an operational or maintenance decision with respect to an object as a function of the comparison.

Abstract: An operations and maintenance (O&M) system, and related method, for a plurality of unique objects characterized by distinct digital twins. The O&M system includes: a database subsystem for storing at least first and second distinct digital twins for each of the plurality of unique objects; at least one of the digital twins has an identifier that uniquely associates it with one of the plurality of unique objects and defines a unique virtual representation thereof. The system further includes a virtual sensor subsystem operative to emulate operational data for ones of the plurality of objects; the virtual sensor subsystem is not dependent on sensors physically associated with ones of the plurality of unique objects.

Abstract: An aggregation layer subsystem, and method of operation thereof, for use with an architect subsystem and a plurality of edge processing devices in a distributed analytics system, wherein each edge processing device is adapted to monitor and control the operation of at least one monitored system according to a first analytic model, the aggregation layer subsystem comprising: a processor and memory, the memory containing instructions which, when executed by the processor, enables the aggregation layer subsystem to: receive a second analytic model from the architect subsystem, the second analytic model based on characteristics of at least one monitored system associated with at least one of the plurality of edge processing devices; receive monitored system information from each of the plurality of edge processing devices; and, provide control signals to the at least one monitored system, via one of the edge processing devices, according to the second analytic model in response to the monitored system information

Abstract: Disclosed are systems and methods for operations and maintenance (O&M) systems for controlling the operation of a second system, wherein the second system includes a plurality of objects (i.e., components and/or subsystems). The O&M system comprises means for evaluating at least one of the plurality of objects using a first model to produce a first prediction of a characteristic of the object; evaluating at least one of the plurality of objects using a second model to produce a second prediction of the characteristic of the object, the second model being dissimilar to the first model; generating a final prediction of the characteristic of the object as a function of dynamic weightings of the first prediction and the second prediction; and, executing an operational or maintenance decision with respect to the second system as a function of the final prediction of the characteristic of the at least one of the plurality of objects.

Abstract: An aggregation layer subsystem, and method of operation thereof, for use with an architect subsystem and a plurality of edge processing devices in a distributed analytics system, wherein each edge processing device is adapted to monitor and control the operation of at least one monitored system according to a first analytic model, the aggregation layer subsystem comprising: a processor and memory, the memory containing instructions which, when executed by the processor, enables the aggregation layer subsystem to: receive a second analytic model from the architect subsystem, the second analytic model based on characteristics of at least one monitored system associated with at least one of the plurality of edge processing devices; receive monitored system information from each of the plurality of edge processing devices; and, provide control signals to the at least one monitored system, via one of the edge processing devices, according to the second analytic model in response to the monitored system information

Abstract: Distributed analytics system used to control the operation of at least one monitored system; the system includes an architect subsystem and an edge subsystem, wherein the edge subsystem comprises at least one edge processing device associated with at least one monitored system. The architect subsystem deploys at least one analytic model to an edge processing device based on characteristics of a monitored system associated with the edge processing device, the analytic model to be used by the edge processing device to provide control signals to a monitored system; and, receives information related to the monitored system from the edge processing device, the information utilized by the architect subsystem to modify the analytic model deployed to the at least one edge processing device to improve system performance of the monitored system.

Abstract: Distributed analytics system used to control the operation of at least one monitored system; the system includes an architect subsystem and an edge subsystem, wherein the edge subsystem comprises at least one edge processing device associated with at least one monitored system. The architect subsystem deploys at least one analytic model to an edge processing device based on characteristics of a monitored system associated with the edge processing device, the analytic model to be used by the edge processing device to provide control signals to a monitored system; and, receives information related to the monitored system from the edge processing device, the information utilized by the architect subsystem to modify the analytic model deployed to the at least one edge processing device to improve system performance of the monitored system.

Abstract: An operations and maintenance (O&M) system, and related method, for a plurality of unique objects characterized by distinct digital twins. The O&M system includes: a database subsystem for storing at least first and second distinct digital twins for each of the plurality of unique objects; at least one of the digital twins has an identifier that uniquely associates it with one of the plurality of unique objects and defines a unique virtual representation thereof. The system further includes a virtual sensor subsystem operative to emulate operational data for ones of the plurality of objects; the virtual sensor subsystem is not dependent on sensors physically associated with ones of the plurality of unique objects.

Abstract: Operations and maintenance (O&M) system, and related methods, for a plurality of unique objects employing distinct digital twins. The O&M system comprises: a database subsystem for storing at least first and second distinct digital twins for each of the plurality of unique objects, each of the distinct digital twins having an identifier that uniquely associates it with one of the plurality of unique objects and which defines a unique virtual representation thereof. The system further includes a sensor subsystem operative to obtain operational data for each of the plurality of unique objects, and a digital twin comparison subsystem operative to compare outputs of the at least first and second distinct digital twins for each of the plurality of unique objects; the output of each distinct digital twin is a function of the operational data for its associated unique object, and the O&M system makes an operational or maintenance decision with respect to an object as a function of the comparison.

Abstract: A communication system and method that provides predictive and prescriptive analytics for a system running at an edge. In one embodiment, the communication system includes an architect subsystem configured to build, test and deploy a model based on sensor characteristics of the system. The sensor characteristics are from at least one of an operator input, a historical input, a specification input, and a subject-matter expert input. The communication system also includes an edge subsystem configured to receive said model and perform predictive and prescriptive analytics on sensor data from said system running on said model deployed at said edge.

Abstract: A system and method for predicting a characteristic of an object in an artificial intelligence system. The method includes evaluating the object using a first model to produce a first prediction of a characteristic of the object. The object is evaluated using a second model to produce a second prediction of the characteristic of the object, the second model being dissimilar to the first model. A final prediction of the characteristic of the object is generated as a function of dynamic weightings of the first prediction and the second prediction.

Abstract: An interrogator and system employing the same. In one embodiment, the interrogator includes a receiver configured to receive a return signal from a tag and a sensing module configured to provide a time associated with the return signal. The interrogator also includes a processor configured to employ synthetic aperture radar processing on the return signal in accordance with the time to locate a position of the tag.

Abstract: An interrogator and system employing the same. In one embodiment, the interrogator includes a receiver configured to receive a return signal from a tag and a sensing module configured to provide a time associated with the return signal. The interrogator also includes a processor configured to employ synthetic aperture radar processing on the return signal in accordance with the time to locate a position of the tag.

Abstract: A weapon and weapon system, and methods of manufacturing and operating the same. In one embodiment, the weapon includes a warhead including destructive elements and a guidance section with a seeker configured to guide the weapon to a target. The seeker includes a detector configured to receive a distorted signal impinging on an objective lens from the target, memory configured to store target criteria and a correction map, and a processor configured to provide a correction signal based on the distorted signal, the target criteria and the correction map to guide the weapon to the target.