Inherent time-delays in distributed real-time control systems can deorade the performance or unstable the system unless treated properly. Standard delay compensation schemes usually include time stamped measurements, which require clock synchronization at different nodes. This needs periodic re-synchronization to minimize the impact of clock drift. consuming additional bandwidth. Further, the controller to actuator delay is unknown prior to the controller calculation, where probability distribution based complicated methods are required, to know it in advance. In this paper, a plant model based predictor is cascaded to the state observer to predict the states corresponding to the next sample. These states are then used in the controller to derive the next control signal, which is released C just after reading the next sample. This completely eliminates clock synchronization and complications in delay compensation. The proposed method is implemented in simulation in a real-time environment for open loop stable and unstable systems.