
Accession Number : AD0608944
Title : INVARIANT IMBEDDING AND NONLINEAR FILTERING THEORY,
Corporate Author : RAND CORP SANTA MONICA CALIF
Personal Author(s) : Bellman,R. E. ; Kagiwada,H. H. ; Kalaba,R. E. ; Sridhar,R.
Report Date : DEC 1964
Pagination or Media Count : 19
Abstract : Suppose that a system is undergoing a process which we believe can be described by the differential equation dx/dt= g(x, t). On the time interval (0, T) we observe the function x, in a noisy manner, and denote this experimental function by the symbol y. We wish to determine the state of the system at time t = T which is such that J is minimized, where J = the integral with respect to dt, from 0 to T, of (x(t)  y(t)) to the second power. Many problems of orbit determination and adaptive control are of this type. A solution is suggested in both the scalar and vector cases, which makes use of certain ideas from the theory of invariant imbedding, and some numerical examples are provided. (Author)
Descriptors : (*MATRICES(MATHEMATICS), NONLINEAR DIFFERENTIAL EQUATIONS), (*NONLINEAR DIFFERENTIAL EQUATIONS, THEORY), (*BOUNDARY VALUE PROBLEMS, ADAPTIVE CONTROL SYSTEMS), VECTOR ANALYSIS, FUNCTIONAL ANALYSIS, NUMERICAL ANALYSIS, DIFFERENTIAL EQUATIONS, FUNCTIONS(MATHEMATICS), EQUATIONS, INVARIANCE, NONLINEAR SYSTEMS, DYNAMIC PROGRAMMING
Distribution Statement : APPROVED FOR PUBLIC RELEASE