Networked distributed control is one of the leading, effective methodologies to control large-scale systems with interconnected subsystems. However, this methodology faces some serious challenges such as networked induced delays and packet losses which must be considered in the design procedure. In this thesis, modeling, stability analysis and controller design for a non-ideal networked distributed control structure are addressed. The Networked Distributed Control System (NDCS) subject to both random packet loss and random induced delay in the communication link is modeled and an appropriate Lyapunov-Krasovskii functional is constructed to propose a Linear Matrix Inequality (LMI) based sufficient condition for stability analysis of each subsystem. These sufficient conditions are derived in both forms of dependent to and independent of packet loss rate, the amount of delay induced by the network and the amount of delay in the local states of each subsystem. Then, some theorems, based on LMIs, are proposed to design networked distributed controllers that stabilize each subsystem and moreover the global large-scale system. Besides, In order to compensate adverse effects of these two non-idealities of communication network, the use of an interaction estimator in a special Keywords: Networked Distributed Control System, Large-scale systems, Packet loss, Networked induced delay, Lyapunov-Krasovskii functional, Interaction estimator, Networked Distributed Sliding Mode Control, Linear Matrix Inequality.