Dynamic representations in the form of stable partial differential equations are developed for continuous-time, optimal, fixed-lag smoothing for non-stationary random processes. Previous results for stationary random processes are extended, and suitable finite-dimensional approximations for both the stationary and non-stationary cases are considered. The need for a new device technology which will render continuous-time, fixed-lag smoothing a viable signal processing technique with wide ranging applications in control and communications is discussed.