  In this paper an adaptive state observer and parameter identification
algorithm for a linear time-varying system are developed under condition that
the state matrix of the system contains unknown time-varying parameters of a
known form. The state vector is observed using only output and input
measurements without identification of the unknown parameters. When the state
vector estimate is obtained, the identification algorithm is applied to find
unknown parameters of the system.
