activity
20152026
most citedResilient Optimal Estimation Using Measurement Prior

11 citations · 38 across the 28 of their papers we have counts for

collaborators

29 papers

eess.SY2026

Adversarially-Informed Node Criticality Identification in Power Grid Measurements

Koto Omiloli, Olugbenga Moses Anubi

Power grid state estimation relies on sensor measurements that are increasingly vulnerable to adversarial corruption in cyberphysical environments, potentially leading to significa…

math.OC2026

Source Reliability Weighted Observer Design for Open Client Server Networks

Amit Dutta, Marcos M. Vasconcelos, Olugbenga M. Anubi

State estimation in open client server networks is challenging because the set of active observation sources changes over time, and active sources need not be valid sensors of the…

math.OC2026

Persistent Mean Tracking in Client--Server Open Networks

Amit Dutta, Fat-Hy Omar Rajab, Marcos M. Vasconcelos +1

We study persistent-agent identification and mean tracking in an open client-server network where agents participate intermittently. The network consists of a core of highly regula…

math.OC2026

Functional Subspace Projection for Detection of Coordinated Stealthy Attacks in Power Systems

Koto Omiloli, Satish Vedula, Olugbenga Moses Anubi

Modern power grids are increasingly vulnerable to coordinated cyber-attacks, particularly false data injection attacks (FDIAs) that can evade conventional residual-based detectors.…

math.OC2026

Generalized String-Stability Criteria for Consensus Protocols

Sridhar Babu Mudhangulla, Olugbenga Moses Anubi

This paper presents a unified string-stability framework for leader-follower multi-agent systems governed by first-, second-, and m-th order consensus protocols operating under an…

math.OC2026

Predictive Energy Management for Hybrid Powertrains

Satish Vedula, Olugbenga Anubi

Hybrid power trains (HPT) run on multiple energy sources, often involving energy storage systems/batteries (ESS). As a result, the risk of battery degradation and the reliability o…

math.OC2025

Resilient State Recovery using Prior Measurement Support Information

Yu Zheng, Olugbenga Moses Anubi, Warren E. Dixon

Resilient state recovery of cyber-physical systems has attracted much research attention due to the unique challenges posed by the tight coupling between communication, computation…

math.OC2025

Predictive Energy Management for Mitigating Load Altering Attacks for Islanded Microgrids Using Battery Energy Storage Systems

Satish Vedula, Koto Omiloli, Ayobami Olajube +1

An increasing number of smart devices controlling loads opens a potential pathway for false data attacks which could alter the loads. The presence of energy storage with its abilit…

cs.LG2025

Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning

Mohammed Sumayli, Olugbenga Moses Anubi

Home Energy Management Systems (HEMS) have emerged as a pivotal tool in the smart home ecosystem, aiming to enhance energy efficiency, reduce costs, and improve user comfort. By en…

eess.SY2025

Optimal Teaming for Coordination with Bounded Rationality via Convex Optimization

Zhewei Wang, Olugbenga Moses Anubi, Marcos M. Vasconcelos

Teaming is the process of establishing connections among agents within a system to enable collaboration toward achieving a collective goal. This paper examines teaming in the conte…

math.OC2024

Passive Stability and Adaptive Control of Teleoperated System using Wave Variables and Predictor Techniques

Naveen Kumar Rajarajan, Sridhar Babu Mudhangulla, Olugbenga Moses Anubi

This paper addresses the challenge of achieving stable adaptive teleoperation and improving the convergence rate in the presence of high communication time delays. We employ a pass…

math.OC2024

Distributed Model-Predictive Energy Management Strategy for Shipboard Power Systems Considering Battery Degradation

Satish Vedula, Seyyed Shaho Alaviani, Olugbenga Moses Anubi

With the integration of loads such as pulse power loads, a new control challenge is presented in meeting their high ramp rate requirements. Existing onboard generators are ramp rat…

math.OC2024

Decentralized Droop-based Finite-Control-Set Model Predictive Control of Inverter-based Resources in Islanded AC Microgrid

Ayobami Olajube, Koto Omiloli, Satish Vedula +1

This paper presents an improved droop control method to ensure effective power sharing, voltage regulation, and frequency stabilization of inverter-based resources (IBRs) connected…

math.OC2024

Fault-Tolerant Decentralized Control for Large-scale Inverter-based Resources for Active Power Tracking

Satish Vedula, Ayobami Olajube, Olugbenga Anubi

Integration of Inverter Based Resources (IBRs) which lack the intrinsic characteristics such as the inertial response of the traditional synchronous-generator (SG) based sources pr…

math.OC2024

Fault-Ride-Through (FRT) Control of a grid-connected Fixed-Speed Wind Energy Conversion System using STATCOM

Ayobami Olajube, Satish Vedula, Koto Omiloli +1

Wind energy conversion system (WECS) is stochastic in nature and has low inertia to grid voltage instability, poor reactive power compensation and most importantly fault susceptibi…

math.OC2024

Battery Degradation Heuristics for Predictive Energy Management in Shipboard Power Systems

Satish Vedula, Ayobami Olajube, Koto Omiloli +1

The presence of Pulse Power Loads (PPLs) in the Notional Shipboard Power System (SPS) presents a challenge in the form of meeting their high ramp rate requirements. Considering the…

eess.SY2023★ 10 cited

Moving-horizon False Data Injection Attack Design against Cyber-Physical Systems

Yu Zheng, Sridhar Babu Mudhangulla, Olugbenga Moses Anubi

Systematic attack design is essential to understanding the vulnerabilities of cyber-physical systems (CPSs), to better design for resiliency. In particular, false data injection at…

math.OC2021

Hierarchical Robust Adaptive Control for Wind Turbines with Actuator Fault

Sina Ameli, Olugbenga Moses Anubi

This paper solves the problem of regulating the rotor speed tracking error for wind turbines in the full-load region by an effective robust-adaptive control strategy. The developed…

eess.SY2021

Low-bandwidth Modular Mathematical Modeling of DC Microgrid Systems for Control Development with Application to Shipboard Power Systems

Mehrzad Mohammadi Bijaieh, Satish Vedula, Olugbenga Moses Anubi

In recent years, DC and AC microgrid (MG) systems have attracted a major attention due to various potential for integration of future technology into conventional systems and contr…

math.OC2021

Robust Control for a Class of Nonlinearly Coupled Hierarchical Systems with Actuator Faults

Sina Ameli, Olugbenga Moses Anubi

This paper proposes an approach to addresses the control challenges posed by a fault-induced uncertainty in both the dynamics and control input effectiveness of a class of hierarch…

math.OC2021

Degradation Aware Predictive Energy Management Strategy for Ship Power Systems

Satish Vedula, Mehrzad Mohammadi Bijaieh, Ellis Oti Boateng +1

Integration of modern defence weapons into ship power systems poses a challenge in terms of meeting the high ramp rate requirements of those loads. It might be demanding for the ge…

math.OC2021

Model and Load Predictive Control for Design and Energy Management of Shipboard Power Systems

Mehrzad Mohammadi Bijaieh, Satish Vedula, Olugbenga Moses Anubi

In current Medium Voltage DC (MVDC) Shipboard Power Systems (SPSs), multiple sources exist to supply power to a common dc bus. Conventionally, the power management of such systems…

math.OC2021★ 4 cited

Attack-Resilient Weighted Observer with Prior Pruning

Yu Zheng, Olugbenga Moses Anubi

Security related questions for Cyber Physical Systems (CPS) have attracted much research attention in searching for novel methods for attack-resilient control and/or estimation. Sp…

math.OC2020★ 7 cited

Attack-resilient observer pruning for path-tracking control of Wheeled Mobile Robot

Yu Zheng, Olugbenga Moses Anubi

Path-tracking control of wheeled mobile robot (WMR) has gained a lot of research attention, primarily because of its wide applicability -- for example intelligent wheelchairs, expl…