Secure Predictive Control for Networked High-Order Fully Actuated Systems Under Random DoS Attacks
Dawei Zhang, Shuai Liu
Abstract
This article addresses the output tracking of networked high-order fully actuated (NHOFA) systems under random denial-of-service (DoS) attacks, where an independent Bernoulli process is used to denote the possibility of launching random DoS attacks in sensor to networked controller (SNC) and networked controller to actuator (NCA) channels. A successful attack leads to random data losses and disorders in the SNC and NCA channels. A secure predictive control method is given to implement the security tracking. In this method, a high-order fully actuated (HOFA) model is applied to establish the dynamics of networked control systems, which is called the NHOFA systems. Then, an incremental HOFA (IHOFA) prediction model is constructed via a Diophantine Equation, such that multistep output predictions are obtained to achieve the optimization of tracking performance and the compensation of random data losses and disorders. A simple condition is proposed to analyze the stability and tracking performance of closed-loop NHOFA systems. A tracking control experiment of air-bearing spacecraft simulator is taken to illustrate the feasibility of secure predictive control method.