The aim of this article is to provide a set of results in stability of model-based networked control systems (MB-NCS) with intermittent feedback, which we intend will serve as a nexus between the study of systems with instantaneous feedback and with continuous feedback. We apply the concept of intermittent feedback to a class of networked control systems known as MB-NCS. MB-NCS use an explicit model of the plant in order to reduce the network traffic while attempting to prevent excessive performance degradation, while intermittent feedback consists of the loop remaining closed for some fixed interval, then open for another interval. We begin by introducing the basic architecture for model-based control, then discuss the concept of intermittent feedback, its applications in various fields and its role as a link between instantaneous and continuous feedback. We then provide our results for the model-based architecture with intermittent feedback. We also address the case with output feedback (through the use of a state observer), providing a full description of the state response of the system, as well as a necessary and sufficient condition for stability in each case. Extensions of our results to cases with nonlinear plants are also presented. Next, we investigate the situation where the update times and h are time-varying, first addressing the case where they have upper and lower bounds, then moving on to the case where their distributions are independent identically distributed or driven by a Markov chain. Finally, we study the case of model-based control with intermittent feedback for discrete-time plants, again providing stability conditions for the basic architecture, the state observer case and the case with time-varying parameters.