Pareto Optimal Control for Multi-Controller Networked Control Systems With Intermittent Observation

Abstract

This letter explores Pareto optimal control for networked control systems (NCSs) featuring multiple controllers and an estimator under Denial-of-Service (DoS) attacks. First, we address the intermittent observation issues due to DoS attacks by employing an optimal state estimator. We then introduce a novel Pareto optimal strategy for NCSs under consideration, grounded in generalized difference Riccati equations (GDREs), to optimize joint control among multiple controllers and minimize the weighted sum cost function. Finally, we apply our strategies to computation offloading in mobile edge computing networks (MECNs), demonstrating the practicality and effectiveness of the proposed approach.