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20182026
most citedOptimal Virtual Cluster-based Multiprocessor Scheduling

78 citations · 510 across the 71 of their papers we have counts for

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12 papers · 1 filter

eess.SY2026

A Hierarchical Stochastic Model Predictive Control Framework for Integrated Request-aware Charge Scheduling and Service Allocation

Mainak Dan, Arvind Easwaran

This study introduces a unified control mechanism for integrated charging and service allocation of Mobility-on-Demand Electric Vehicles (MoD-EVs) operating under a flexible A-to-B…

eess.SY2025

PAC One-Step Safety Certification for Black-Box Discrete-Time Stochastic Systems

Taoran Wu, Dominik Wagner, Jingduo Pan +3

This paper investigates the problem of safety certification for black-box discrete-time stochastic systems, where both the system dynamics and disturbance distributions are unknown…

eess.SY2025

Managing Charging Induced Grid Stress and Battery Degradation in Electric Taxi Fleets

Michael Yuhas, Rajesh K. Ahir, Laksamana Vixell Tanjaya Hartono +3

Operating fleets of electric vehicles (EVs) introduces several challenges, some of which are borne by the fleet operator, and some of which are borne by the power grid. To maximize…

eess.SY2025

Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization

Taoran Wu, Yiling Xue, Dejin Ren +3

This paper addresses the computation of controlled reach-avoid sets (CRASs) for discrete-time polynomial systems subject to control inputs. A CRAS is a set encompassing initial sta…

eess.SY2025

Convex Computations for Controlled Safety Invariant Sets of Black-box Discrete-time Dynamical Systems

Taoran Wu, Yiling Xue, Jingduo Pan +3

Identifying controlled safety invariant sets (CSISs) is essential for safety-critical systems. This paper addresses the problem of computing CSISs for black-box discrete-time syste…

eess.SY2024★ 18 cited

Methods for Mitigating Uncertainty in Real-Time Operations of a Connected Microgrid

Subrat Prasad Panda, Blaise Genest, Arvind Easwaran +2

In this paper, we compare the effectiveness of a two-stage control strategy for the energy management system (EMS) of a grid-connected microgrid under uncertain solar irradiance an…

eess.SY2024★ 1 cited

Event-Driven Real-Time Multi-Objective Charging Schedule Optimization For Electric Vehicle Fleets

Jose Peeterson Emerson Raja, Arvind Easwaran

The utilization of Electric Vehicles (EVs) in car rental services is gaining momentum around the world and most commercial fleets are expected to fully adopt EVs by 2030. At the mo…

eess.SY2021★ 11 cited

A Game-Theoretic Approach to Secure Estimation and Control for Cyber-Physical Systems with a Digital Twin

Zhiheng Xu, Arvind Easwaran

Cyber-Physical Systems (CPSs) play an increasingly significant role in many critical applications. These valuable applications attract various sophisticated attacks. This paper con…

eess.SY2020★ 3 cited

PAC Model Checking of Black-Box Continuous-Time Dynamical Systems

Bai Xue, Miaomiao Zhang, Arvind Easwaran +1

In this paper we present a novel model checking approach to finite-time safety verification of black-box continuous-time dynamical systems within the framework of probably approxim…

eess.SY2020★ 5 cited

Automatic Generation of Hierarchical Contracts for Resilience in Cyber-Physical Systems

Zhiheng Xu, Daniel Jun Xian Ng, Arvind Easwaran

With the growing scale of Cyber-Physical Systems (CPSs), it is challenging to maintain their stability under all operating conditions. How to reduce the downtime and locate the fai…

eess.SY2020★ 21 cited

A Scenario-based Branch-and-Bound Approach for MES Scheduling in Urban Buildings

Mainak Dan, Seshadhri Srinivasan, Suresh Sundaram +2

This paper presents a novel solution technique for scheduling multi-energy system (MES) in a commercial urban building to perform price-based demand response and reduce energy cost…

eess.SY2019★ 28 cited

Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data

Xiaozhe Gu, Arvind Easwaran

Machine learning (ML) techniques are increasingly applied to decision-making and control problems in Cyber-Physical Systems among which many are safety-critical, e.g., chemical pla…