ABSTRACT
This chapter presents the model-based event-triggered (MB-ET) control framework for networked control systems. It explores extensive results that consider uncertain continuous-time linear and nonlinear systems. The chapter describes the model-based networked control systems architecture and the conditions to stabilize a linear system under such a configuration. It provides necessary and sufficient conditions for stability that result in a maximum update time, which depends mainly not only on the model inaccuracies but also on the designed control gain. The chapter considers continuous-time systems with state feedback. It focuses on the more general framework of dissipativity theory. The chapter examines the control of a discrete-time nonlinear dissipative system over a limited-bandwidth network. It explains a boundedness result that provides a constructive bound on the system output of a nonlinear system with output feedback.
