The extension of certain results in the treatment of inaccessible state variables

The essential problem in designing optimal control systems with inaccessible state variables is one of estimation. In general, all the state variables must be estimated from noisy incomplete data. The author has extended the previously published results to cases where the measurements might be a mixture of both continuous and sampled data.