Analysis and design of sampled-data systems with intermittent feedback is motivated by the contemporary trend to distribute information processing in many networked control applications. In this seminar I will present my research on the stabilization, optimization and implementation of discrete (or discretized) linear systems with intermittent, unknown a priori information exchange between sensor- and actuator-side parts of the controller. The talk will be focused on the following results:
- stabilization in intermittent systems with constrained analog-to-digital and digital-to-analog conversion mechanisms
- optimal and intermittent controllers
- implementation architecture over unreliable networks
- effects of the variability of the sampling rate on the attainable optimal cost
The derived results are nonconservative, computationally simple, digitally implementable and transparent. Furthermore, these results offer a valuable insight into control over communication networks
