Matthew Peet

Matthew Peet

Arizona State University

H-index: 22

North America-United States

About Matthew Peet

Matthew Peet, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Control Systems, Sum-of-Squares, Lyapunov Theory, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

A new treatment of boundary conditions in PDE solution with Galerkin methods via Partial Integral Equation framework

A Computational Method for -optimal Estimator and State Feedback Controller Synthesis for PDEs

Model Predictive Bang-Bang Controller Synthesis via Approximate Value Functions

-Optimal Estimator Synthesis for Coupled Linear 2D PDEs using Convex Optimization

Computing Optimal Upper Bounds on the H2-norm of ODE-PDE Systems using Linear Partial Inequalities

Integral quadratic constraints with infinite-dimensional channels

A PIE representation of scalar quadratic PDEs and global stability analysis using SDP

Existence of Partially Quadratic Lyapunov Functions That Can Certify The Local Asymptotic Stability of Nonlinear Systems

Matthew Peet Information

University

Position

Associate Professor of Aerospace Engineering

Citations(all)

2295

Citations(since 2020)

1217

Cited By

1267

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

57

i10Index(since 2020)

35

Email

University Profile Page

Arizona State University

Google Scholar

View Google Scholar Profile

Matthew Peet Skills & Research Interests

Control Systems

Sum-of-Squares

Lyapunov Theory

Optimization

Top articles of Matthew Peet

Title

Journal

Author(s)

Publication Date

A new treatment of boundary conditions in PDE solution with Galerkin methods via Partial Integral Equation framework

Journal of Computational and Applied Mathematics

Yulia T Peet

Matthew M Peet

2024/5/1

A Computational Method for -optimal Estimator and State Feedback Controller Synthesis for PDEs

arXiv preprint arXiv:2403.08052

Sachin Shivakumar

Matthew Peet

2024/3/12

Model Predictive Bang-Bang Controller Synthesis via Approximate Value Functions

arXiv preprint arXiv:2402.08148

Morgan Jones

Yuanbo Nie

Matthew M Peet

2024/2/13

-Optimal Estimator Synthesis for Coupled Linear 2D PDEs using Convex Optimization

arXiv preprint arXiv:2402.05061

Declan S Jagt

Matthew M Peet

2024/2/7

Computing Optimal Upper Bounds on the H2-norm of ODE-PDE Systems using Linear Partial Inequalities

IFAC-PapersOnLine

Danilo Braghini

Matthew M Peet

2023/1/1

Integral quadratic constraints with infinite-dimensional channels

Aleksandr Talitckii

Matthew M Peet

Peter Seiler

2023/5/31

A PIE representation of scalar quadratic PDEs and global stability analysis using SDP

Declan Jagt

Peter Seiler

Matthew Peet

2023/12/13

Existence of Partially Quadratic Lyapunov Functions That Can Certify The Local Asymptotic Stability of Nonlinear Systems

Morgan Jones

Matthew M Peet

2023/5/31

Constructive Representation of Functions in -Dimensional Sobolev Space

arXiv preprint arXiv:2312.00028

Declan S Jagt

Matthew M Peet

2023/11/16

Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis

IEEE Journal of Biomedical and Health Informatics

Aleksandr Talitckii

Joslyn L Mangal

Brendon K Colbert

Abhinav P Acharya

Matthew M Peet

2023/10/26

H∞‐optimal observer design for systems with multiple delays in states, inputs and outputs: A PIE approach

International Journal of Robust and Nonlinear Control

Shuangshuang Wu

Matthew M Peet

Fuchun Sun

Changchun Hua

2023/5/25

Exponentially decreasing exposure of antigen generates anti-inflammatory T-cell responses

bioRxiv

Arezoo Esrafili

Joshua Kupfer

Abhirami Thumsi

Madhan Mohan Chandra Sekhar Jaggarapu

Abhirami P Suresh

...

2023/9/17

Efficient Convex Algorithms for Universal Kernel Learning

arXiv preprint arXiv:2304.07472

Aleksandr Talitckii

Brendon K Colbert

Matthew M Peet

2023/4/15

A Parameterization of Polynomials on Distributed States and a PIE Representation of Nonlinear PDEs

arXiv preprint arXiv:2303.16448

Declan S Jagt

Matthew M Peet

2023/3/29

Representation of linear PDEs with spatial integral terms as Partial Integral Equations

Sachin Shivakumar

Amritam Das

Matthew M Peet

2023/5/31

Optimal Control Strategies for Systems with Input Delay using the PIE Framework

IFAC-PapersOnLine

Matthew M Peet

2022/1/1

Efficient data structures for representation of polynomial optimization problems: Implementation in SOSTOOLS

IEEE Control Systems Letters

Declan Jagt

Sachin Shivakumar

Peter Seiler

Matthew Peet

2022/6/16

Control of Large-Scale Delayed Networks: DDEs, DDFs and PIEs

IFAC-PapersOnLine

Matthew M Peet

Sachin Shivakumar

2022/1/1

A PIE representation of coupled linear 2D PDEs and stability analysis using LPIs

Declan S Jagt

Matthew M Peet

2022/6/8

L2-Gain Analysis of Coupled Linear 2D PDEs using Linear PI Inequalities

Declan S Jagt

Matthew M Peet

2022/12/6

See List of Professors in Matthew Peet University(Arizona State University)

Co-Authors

H-index: 53
Antonis Papachristodoulou

Antonis Papachristodoulou

University of Oxford

H-index: 43
Sanjay Lall

Sanjay Lall

Stanford University

H-index: 38
Keqin Gu

Keqin Gu

Southern Illinois University Edwardsville

H-index: 35
Hitay Özbay

Hitay Özbay

Bilkent Üniversitesi

H-index: 31
Emmanuel Witrant

Emmanuel Witrant

Université Grenoble Alpes

H-index: 29
Mazen Alamir

Mazen Alamir

Grenoble INP

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