Summary: Model-Based Control with Intermittent Feedback
Tomas Estrada Hai Lin Panos J. Antsaklis
Abstract-In this paper we apply the concept of Intermittent a car, when approaching a curve or hilly terrain, we pay
Feedback to a class of networked control systems known as attention to the road for a longer time, which is equivalent
Model-Based Networked Control Systems (MB-NCS). MB-NCS to staying in closed-loop mode, and we only reduce our
use an explicit model of the plant in order to reduce the network .. '
traffic while attempting to prevent performance degradation. In attention -switch to open loop control- when the roadiS once
the previous body of work regarding MB-NCS, updates of the again straight. While intermittent control is a very intuitive
plant were given instantaneously; however, in this paper we notion, its combination with the MB-NCS architecture allows
consider the case where the loop remains closed for a finite for obtaining important results and opening new paths in
length fixed interval before the control system returns to open- controlling NCSs effectively.
loop. We provide a full description of the output, as well as a With the finite bit-rate constraints, quantization has to be
necessary and sufficient condition for stability of the system. ta to cideration s.Th, quantzat ion
We also provide examples in order to illustrate the behavior taken into consideration in NCSs. Therefore, quantization
indicated by the theory, and we show the advantages of the and limited bit rate issues have attracted many researchers'
approach. Finally, we conclude the paper with discussions on attention with the aim to identify the minimum bit rate
possible future extensions. required to stabilize a NCS, see for example , , ,
I. INTRODUCTION , . In  it is shown that asymptotic stability cannot
be achieved by (static) quantization. In  Brockett and
Liberzon proposed a dynamic quantization scheme, so called