Optimal Co-design of Industrial Networked Control Systems with State-dependent Correlated Fading Channels

TL;DR

This paper presents a method for jointly optimizing control and communication strategies in industrial networked control systems with state-dependent wireless fading channels, ensuring safety and minimizing costs.

Contribution

It introduces a novel co-design framework for control and transmission power policies considering state-dependent fading channels modeled as Markov processes.

Findings

Derived sufficient safety conditions for the NCS.

Formulated the co-design as a convex optimization problem.

Validated the approach with industrial system simulations.

Abstract

This paper examines a co-design problem for industrial networked control systems (NCS) whereby physical systems are controlled over wireless fading channels. In particular, the considered wireless channels are also stochastically dependent on the physical states of moving machineries in an industrial working space. In this paper, the moving machineries are modeled as Markov decision processes whereas the characteristics of the correlated fading channels are modeled as a binary random process whose probability measure is a function of both the moving machineries' physical states and the channels' transmission power. Under such state-dependent fading channel models, sufficient conditions which ensure the stochastic safety of the NCS are first derived. Using the derived safety conditions, the co-design problem is then formulated as a constrained joint optimization problem that seeks for optimal control and transmission power policies which simultaneously minimize both the communication and control costs in an infinite time horizon. This paper shows that such optimal co-design policies can be obtained in an efficient manner from the solution of convex programs. Simulation results from industrial NCS models consisting forklift truck and networked DC motor systems are also presented to illustrate and verify both the advantages and efficacy of the proposed co-design solution framework.