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Performance Analysis of Digital Flight Control Systems With Rollback Error Recovery Subject to Simulated Neutron-Induced Upsets

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3 Author(s)
Hong Zhang ; Old Dominion Univ., Norfolk ; Gray, W.S. ; Gonzalez, O.R.

This paper introduces a class of stochastic hybrid models for the analysis of closed-loop control systems implemented with NASA's Recoverable Computer System (RCS). Such systems have been proposed to ensure reliable control performance in harsh environments. The stochastic hybrid model consists of a stochastic finite-state automaton driven by a Markov input process, which in turn drives a switched linear discrete-time dynamical system. Stability and output tracking performance are analyzed using an extension of the existing theory for Markov jump-linear systems. The theory is then applied to predict the tracking error performance of a Boeing 737 at cruising altitude and in closed-loop with an RCS subject to neutron-induced single-event upsets. The results are validated using experimental data obtained from a simulated neutron environment in NASA's SAFETI Laboratory.

Published in:

Control Systems Technology, IEEE Transactions on  (Volume:16 ,  Issue: 1 )