Intelligent control of a planning system for astronaut training.
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.
Johnson Space Center, USA.
J
J
Ortiz
G
G
Chen
D000465:Algorithms; D001185:Artificial Intelligence; D018480:Astronauts / Q000193:education*; D006801:Humans; D007318:Inservice Training; D013026:Space Flight / Q000193:education*; D018531:Spacecraft; D013597:Systems Analysis; D017748:Time Management; D014481:United States; D018557:United States National Aeronautics and Space Administration