Area of research
Control and Systems Engineering · Automotive Engineering
Research interest
Research topics from publications: Enhanced Resilient State Estimation Using Data-Driven Auxiliary Models; Resilient Cyber-Physical Energy Systems Using Prior Information Based on Gaussian Process; Hierarchical Robust Adaptive Control for Wind Turbines With Actuator Fault; Robust Resilient Signal Reconstruction under Adversarial Attacks; Hierarchical robust control for variable‐pitch wind turbine with actuator faults; Moving-horizon false data injection attack design against cyber–physical systems; Robust Control for a Class of Nonlinearly Coupled Hierarchical Systems with Actuator Faults; Decentralized Droop-based Finite-Control-Set Model Predictive Control of Inverter-based Resources in Islanded AC Microgrid; Robust Stabilization of Inverter-Based Resources Using Virtual Resistance-Based Control; Distributed Adaptive AC Droop Control in D-Q Coordinates for Inverter-Based Microgrids. Representative work: This paper considers the problem of resiliency in the state estimation of a cyber-physical system when a portion of its sensor measurements contains malicious data added by an adversarial attacker. When the attack consists of arbitrary random uncorrelated data injection, compressive-sensing-based regression algorithms that can recover the true states have been studied extensively in the literature. However, it has been shown that it is possible to create a targeted correlated false data injection attack (FDIA), which will fool any regression-based algorithm. Consequently, there have been a plethora of data-driven approaches investigated to detect the occurrence of such an FDIA. This paper co The power grid infrastructure is a large-scale, heterogeneous, and complex cyber-physical system, which forms the lifeline of modern societies. The trend of tight coupling of physics, communication, and computation in cyber-physical energy systems (CPESs) is evident by the inclusion of numerous measurement sensors. This contributes to enhancing the monitoring and control functionalities of CPESs. At the same time, the occurrence of adverse effects constitutes a vital dimension of CPES operation. Increasing the resilience of critical energy systems is of key importance for safeguarding the national economy and security. This article considers the problem of optimal estimation with sensing mea
Robust Optimal Control of Inverter-Based Resources Under Grid-Forming Operation
Generative Vulnerability Assessment for Cyber-Physical Systems
Decentralized Droop-based Finite-Control-Set Model Predictive Control of Inverter-based Resources in Islanded AC Microgrid
Robust Resilient Signal Reconstruction under Adversarial Attacks
Moving-horizon false data injection attack design against cyber–physical systems
Data-driven Vulnerability Analysis of Networked Pipeline System
Robust Adaptive Control for Large-scale Inverter-based Resources with Partial and Complete Loss of Inverters
Hierarchical Robust Adaptive Control for Wind Turbines With Actuator Fault
Hierarchical robust control for variable‐pitch wind turbine with actuator faults
Robust Stabilization of Inverter-Based Resources Using Virtual Resistance-Based Control
Resilient Cyber-Physical Energy Systems Using Prior Information Based on Gaussian Process
Robust Control for a Class of Nonlinearly Coupled Hierarchical Systems with Actuator Faults
Attack-Resilient Weighted $\ell_{1}$ Observer with Prior Pruning
Algorithm Design for Resilient Cyber-Physical Systems using an Automated Attack Generative Model
Model and Load Predictive Control for Design and Energy Management of Shipboard Power Systems
Modulated MPC for Arm Inductor-Less MVDC MMC With Reduced Computational Burden
Algorithm Design for Resilient Cyber-Physical Systems using an Automated Attack Generative Model
Degradation Aware Predictive Energy Management Strategy for Ship Power Systems
Low-bandwidth Modular Mathematical Modeling of DC Microgrid Systems for Control Development with Application to Shipboard Power Systems
Distributed Adaptive AC Droop Control in D-Q Coordinates for Inverter-Based Microgrids
Enhanced Resilient State Estimation Using Data-Driven Auxiliary Models