Abstarct: The aim of this thesis is presenting a new algorithm for scheduling data transmission through network in networked control systems (NCSs) such that it leads to improvement of system’s stability and performance. The investigated system is a discrete-time NCS with input disturbance exposed to time-varying delay and packet loss in both feedback and feedforward channels. For this reason, in the first step an event-triggered predictive control (ETPC) method and in the next step a self-triggered predictive control (STPC) method are presented. In each one of the mentioned methods, a structure baxsed on a full-order Luenberger observer and a reduced-order Luenberger observer; and a multi-gain predictive controller is given. Designing the observer and the controller in each step is performed through Lyapunov function method and linear matrix inequality (LMI) method such that they are capable of stabilizing the system in presence of disturbances and network imperfections. Eventually, by designing a combined structure the final algorithm is presented which is baxsed on event-triggered control (ETC) method and self-triggered control (STC) method. baxsed on simulation results the combined algorithm; using the combination of the given ETPC and STPC methods in this thesis and also the combination of ETC and STC methods presented in another paper; has better performance than each one of the individual algorithms. The improvement of the performance is investigated from two aspects. First aspect is stabilizing the system in presence of external disturbances while reducing the number of sent data packets; and the second aspect is reducing the usage of the system’s energy resources and network bandwidth.