Abstract: Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

Abstract: Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

Abstract: Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

Abstract: Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

Abstract: Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

Abstract: Failure repair sequence generation systems and methods may generate a repair sequence for nodes experiencing failure in a nodal-network-based system that meets acceptable performance metrics, such as acceptable total network damage, acceptable node-failure preventability rate, or a combination thereof.

Abstract: Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

Abstract: Systems and methods for preventing and detecting conflicts and errors through prognostics and diagnostics are applied to vehicle traffic in air traffic and ground control scenarios. Conflict and error prevention and detection (CEPD) logic is applied to a constraint network generated to model the constraints pertinent to the vehicles (such as aircraft and ground-based vehicles) and resources (such as runways and taxiways) in the traffic control spaces. Time-based trajectory data for all vehicles in the traffic control space are continuously and interactively evaluated to detect conflicts that have occurred and/or identify potential conflicts before they occur among vehicles or between vehicles and resources. The systems and methods also generate a conflict resolution using the CEPD logic, which resolution is communicated to the affected vehicles.

Abstract: Failure repair sequence generation systems and methods may generate a repair sequence for nodes experiencing failure in a nodal-network-based system that meets acceptable performance metrics, such as acceptable total network damage, acceptable node-failure preventability rate, or a combination thereof.

Abstract: A fault-tolerant timeout protocol for distributed sensor arrays and networks in which each sensor has a plurality of backup nodes, each of which is operable to send priority information which includes the product of the time needed for the backup node to transmit sensor information to a base station and the number of tasks offered to the backup node. In another embodiment, the base station stores the two values and calculates their product. In both cases, the lowest resulting value is used by the base station to select the backup node, which then sends backup sensor information. Another aspect of the present invention is a fault-tolerant sensor integration algorithm. The algorithm creates an abstract sensor defined as an interval having values above and below the reading of an associated physical sensor, and finds a range of values common to more than half of the abstract sensors.