Proceedings AIAA Guidance, Navigation and Control Conference and Exhibit
AIAA Guidance, Navigation, and Control Conference and Exhibit, August 15-18, 2005, San Francisco, California
This paper introduces a class of stochastic hybrid models for the analysis of closed-loop control systems implemented with NASA's Recoverable Computer System. Such Recoverable Computer Systems have been proposed to insure reliable control performance in harsh environments. The stochastic hybrid models consist of either a stochastic finite-state automaton or a finite-state machine driven by a Markov input, which in turn drives a switched linear discrete-time dynamical system. Their stability and output tracking performance are analyzed using an extension of the existing theory for Markov jump-linear systems. For illustration, a stochastic hybrid model is used to calculate the tracking error performance of a Boeing 737 at cruising altitude and in closed-loop with a Recoverable Computer System subject to neutron-induced single-event upsets. The upsets are modeled with a Markov process. The results are validated using experimental data obtained from a simulated neutron environment in NASA's SAFBTI Laboratory. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
Original Publication Citation
Zhang, H., Gray, W. S., & González, O. R. (2005). Performance analysis and validation of a recoverable flight control system in a simulated neutron environment. Paper presented at the AIAA Guidance, Navigation, and Control Conference and Exhibit, San Francisco, California, August 15-18, 2005.
Zhang, Hong; Gray, W. Steven; and Gonzalez, Oscar R., "Performance Analysis and Validation of a Recoverable Flight Control System in a Simulated Neutron Environment" (2005). Electrical & Computer Engineering Faculty Publications. 232.