Optimal LQG Control under Delay-dependent Costly Information

TL;DR

This paper studies optimal control in networked systems where communication delay and cost influence decision-making, proposing a strategy to balance control performance and communication expenses in delay-varying environments.

Contribution

It introduces a novel optimal control framework considering delay-dependent communication costs and demonstrates the separation of link selection and control policies.

Findings

Optimal policies can be efficiently computed due to decomposable cost functions.

Separation property holds between link selection and control policies under mild assumptions.

The approach balances control performance with communication costs in delay-varying networks.

Abstract

In the design of closed-loop networked control systems (NCSs), induced transmission delay between sensors and the control station is an often-present issue which compromises control performance and may even cause instability. A very relevant scenario in which network-induced delay needs to be investigated is costly usage of communication resources. More precisely, advanced communication technologies, e.g. 5G, are capable of offering latency-varying information exchange for different prices. Therefore, induced delay becomes a decision variable. It is then the matter of decision maker's willingness to either pay the required cost to have low-latency access to the communication resource, or delay the access at a reduced price. In this article, we consider optimal price-based bi-variable decision making problem for single-loop NCS with a stochastic linear time-invariant system. Assuming that communication incurs cost such that transmission with shorter delay is more costly, a decision maker determines the switching strategy between communication links of different delays such that an optimal balance between the control performance and the communication cost is maintained. In this article, we show that, under mild assumptions on the available information for decision makers, the separation property holds between the optimal link selecting and control policies. As the cost function is decomposable, the optimal policies are efficiently computed.