Title :
A critique of several failure detection approaches for navigation systems
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
fDate :
7/1/1989 12:00:00 AM
Abstract :
Additional references relating to the work of J.E. White and J.L. Speyer (ibid., vol.AC-32, p.593-603, July 1987) are reported and commented on. White and Speyer discussed predecessor studies that dealt with failure detection in navigation applications described by stochastic time-invariant linear system with additive Gaussian white process and measurement noises being present, and sought to use Kalman filters tuned in this application context to detect a priori specified failures. It is argued that, since the predecessor work dealt exclusively with time-invariant deterministic systems devoid of noise terms, exclusive use of observers suffice for failure detection in this more benign context
Keywords :
Kalman filters; linear systems; navigation; state estimation; stochastic systems; Kalman filters; additive Gaussian white process; failure detection; measurement noises; navigation systems; state estimation; stochastic time-invariant linear system; time-invariant deterministic systems; Adaptive control; Automatic control; Control systems; Linear systems; Navigation; Nonlinear control systems; Polynomials; Programmable control; Signal processing algorithms; Weight control;
Journal_Title :
Automatic Control, IEEE Transactions on