In this note, the problem of jointly estimating the
state and the parameters of continuous-time systems is addressed.
Making use of suitably designed Volterra integral operators,
the proposed estimator does not need the availability of timederivatives
of the measurable signals and the dependence on the
unknown initial conditions is removed. As a result, the estimates
converge to the true values in arbitrarily short time in noise-free
scenario. In the presence of bounded measurement and process
disturbances, the estimation error is shown to be bounded. The
numerical implementation aspects are dealt with and extensive
simulation results are provides showing the effectiveness of the
estimator.
