
doi: 10.1109/7.784074
pmid: 12192682
This work intends to design, analyze and solve, from the systems control perspective, a complex, dynamic, and multiconstrained planning system for generating training plans for crew members of the NASA-led International Space Station. Various intelligent planning systems have been developed within the framework of artificial intelligence. These planning systems generally lack a rigorous mathematical formalism to allow a reliable and flexible methodology for their design, modeling, and performance analysis in a dynamical, time-critical, and multiconstrained environment. Formulating the planning problem in the domain of discrete-event systems under a unified framework such that it can be modeled, designed, and analyzed as a control system will provide a self-contained theory for such planning systems. This will also provide a means to certify various planning systems for operations in the dynamical and complex environments in space. The work presented here completes the design, development, and analysis of an intricate, large-scale, and representative mathematical formulation for intelligent control of a real planning system for Space Station crew training. This planning system has been tested and used at NASA-Johnson Space Center.
Inservice Training, Systems Analysis, United States National Aeronautics and Space Administration, Time Management, Space Flight, United States, Artificial Intelligence, Astronauts, Humans, Spacecraft, Algorithms
Inservice Training, Systems Analysis, United States National Aeronautics and Space Administration, Time Management, Space Flight, United States, Artificial Intelligence, Astronauts, Humans, Spacecraft, Algorithms
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