Matthew Ellis

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Assistant Professor

University of California

United States

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Dr. Matthew Ellis is an Assistant Professor at the University of California, specializing in process control systems and cyberattack detection. His recent research includes topics such as false data injection attacks and predictive control strategies for heating systems. Dr. Ellis is dedicated to developing methods that enhance the resilience of control systems against cyber threats.

Recent Grants

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Optimizing heat pump load flexibility for cost, comfort, and carbon emissions

Open Date: 2020-06-01

Close Date: 2024-05-01

Articles (12)

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2025

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2022

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2020

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2020

Collaborators (5)

Nael El-Farra

University of California

UNITED STATES

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Ahmet Palazoglu

College of Engineering

UNITED STATES

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Christopher Cappa

PROFESSOR

University of California, Davis

UNITED STATES

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Deborah Bennett

Professor

University of California, Davis

UNITED STATES

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Loren dela Rosa

University of California, Davis

UNITED STATES

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Matthew Ellis

Research Interests

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About

Recent Grants

Articles (12)

Beyond the one-shift wonder: A case study on predictive control for heat pump water heaters

Practical strategies for managing resistance heating in heat pump water heater predictive control

Elucidating the barriers in estimating false data injection attacks in process control systems

Terminal set-based cyberattack detection in model predictive control systems with zero false alarms

Detection of Multiplicative False Data Injection Cyberattacks on Process Control Systems via Randomized Control Mode Switching

A reachable set-based scheme for the detection of false data injection cyberattacks on dynamic processes

Method of test for CO2-based demand control ventilation systems: Benchmarking the state-of-the-art and the undervalued potential of proportional-integral control

A control‐switching approach for cyberattack detection in process systems with minimal false alarms

Active multiplicative cyberattack detection utilizing controller switching for process systems

Detectability‐based controller design screening for processes under multiplicative cyberattacks

An encoder–decoder LSTM-based EMPC framework applied to a building HVAC system

Comment on "CO<inf>2</inf>Utilization Feasibility Study: Dimethyl Carbonate Direct Synthesis Process with Dehydration Reactive Distillation"

Collaborators (5)

Nael El-Farra

Ahmet Palazoglu

Christopher Cappa

Deborah Bennett

Loren dela Rosa

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