Title :
Consistency conditions for the asymptotic innovations representation and an equivalent inverse regulation problem
Author :
Mosca, Edoardo ; Zappa, Giovanni
Author_Institution :
University of Florence, Florence, Italy
fDate :
6/1/1979 12:00:00 AM
Abstract :
The consistency problem of time-invariant innovations representation is considered. Namely, given a time-invariant stochastic dynamic (conditionally) Gaussian system in the standard innovations representation form, when can it be truly considered an asymptotic innovation representation of observable input-output pairs? This problem is shown to be equivalent by duality to the following inverse regulation problem. Given a liner time-invariant system,when can a state-feedback input be considered a liner-quadratic optimal control law?
Keywords :
Asymptotic stability; Innovations methods; Inverse optimal control problem; Kalman filtering; Linear systems, stochastic discrete-time; Optimal regulators; Optimal stochastic control; Stochastic optimal control; Cost function; Councils; Covariance matrix; Gaussian processes; Optimal control; Regulators; Stochastic systems; Systems engineering and theory; Technological innovation; User-generated content;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1979.1102070