Secure State Estimation-Based Stabilization of IoT-Enabled Wireless Power Transfer Systems

This paper concerns the distributed state estimation-based security control issue for Internet-of-Things (IoT)-enabled wireless power transfer (WPT) system subject to interchange attacks. The WPT system is first modeled using a state-space framework, and then the IoT elements including Web-enabled smart sensors are considered to obtain measurements for state estimation and control purpose. Additionally, a Bernoulli distribution-based random variable with known probability is introduced to characterize randomly occurring interchange attacks in output measurements. Using Lyapunov theory and stochastic analysis technique, a set of sufficient conditions is established in terms of linear matrix inequalities for ensuring convergence of state estimation with reliable and consistent power transfer operations within the described WPT system applications. Furthermore, particle swarm optimization algorithm is used to determine the optimal gain of the state estimation scheme for minimizing mean-squared estimation errors. Finally, numerical simulation is given to illustrate the efficiency and usefulness of the presented control approach.