Faculty

Institution

Unit

Venue

Kevin Moore

Professor

Colorado School of Mines

Affiliations

Electrical Engineering

Engineering, Design, & Society

Kevin Moore is currently serving as an Electrical Engineering Professor at Colorado School of Mines.

Honors

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Experiences

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Education

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Kevin Moore

Colorado School of Mines

Professor

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systems engineering engineering control systems automatic control machine learning robotics learning control computer science electrical engineering optical engineering computer vision artificial intelligence control engineering robust control control design nonlinear control controller design vehicular technology intelligent control iterative learning control control optimization camera calibration motion control robot control adaptive control mathematical control theory unmanned aerial vehicles cybernetics intelligent vehicles discrete repetitive processes image analysis feedforward control command and control model predictive control vehicle control monotonic convergence range identification perspective dynamic systems design optimization power electronics autonomous robots control science cooperative learning autonomous navigation topic models autonomous learning tracking control path planning mobile actuator-sensor networks dynamic consensus networks adaptive scheduling formation control iteration domain robot learning robust nonlinear control active control adaptation engineering optimization control system technology electronics nonlinear analysis nonlinear science aeronautics flight control stability analysis automated machine learning learning networks control management chaos theory social informatics hardware-in-the-loop simulation discretization schemes fractional-order differentiators multivehicle systems cooperative control expository overview intelligent robot real-time control

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Merging Rules for Strong Structural Controllability and Minimum Input Problem in Undirected Networks. Journal of the Franklin Institute (2025)

Nam-Jin ParkSeong-Ho KwonYoo-Bin BaeByeong-Yeon KimKevin L. MooreHyo-Sung Ahn

systems engineeringundirected networksmerging rulesminimum input problemstrong structural controllabilitymathematical control theory

Climate Change Mitigation, Adaptation, and Resilience: Challenges and Opportunities for the Control Systems Community. IEEE Control Systems (2024)

Pramod P. KhargonekarTariq SamadSaurabh AminAranya ChakraborttyFabrizio DabbeneAmritam DasMasayuki FujitaMario Garcia-SanzDennice F. GaymeMarija IlićIven MareelsKevin L. MooreLucy Y. PaoAkshay RajhansJakob StoustrupJunaid ZafarMargret Bauer

systems engineeringadaptationcontrol systems communityresilienceclimate change mitigation

Composition Rules for Strong Structural Controllability and Minimum Input Problem in Diffusively-Coupled Networks. arXiv (Cornell University) (2024)

Park, Nam-JinKwon, Seong-HoBae, Yoo-BinKim, Byeong-YeonMoore, Kevin L.Ahn, Hyo-Sung

diffusively-coupled networksminimum input problemcomposition rulesmathematical control theoryapplied mathematicsdynamical systems

Controllability Matrix Analysis of Structured Networks: A Tight Lower Bound on the Dimension of Controllable Subspace. 2022 European Control Conference (ECC) (2024)

Nam-Jin ParkYoo-Bin BaeKevin L. MooreHyo-Sung Ahn

tight lower boundlower boundscontrol systemscontrollability matrix analysisstructured networkscontrollable subspace

Data-Driven Norm-Optimal Control of Discrete Repetitive Processes. (2024)

Kevin L. MooreBing ChuPaolo Rapisarda

data-driven norm-optimal controldiscrete repetitive processes

Iterative Learning Control — Algorithms, Applications and Future Research Directions. (2024)

Eric RogersBing ChuKevin MooreTom OomenYing Tan

computer scienceautomatic controllearning controlfuture research directionscontrol optimizationiterative learning controlmachine learning

Society of Women Engineers: Some Best Practices From the Largest Collegiate Swe Section. (2024)

Kevin Moore

engineering educationengineeringbest practiceswomen engineers

Consensus of Linear Network Systems Diffusively Coupled With Exogenous Disturbances: An ℋ ∞ Approach. International Journal of Robust and Nonlinear Control (2023)

Younghun JohnKwang‐Kyo OhKevin L. MooreHyo‐Sung Ahn

robust controlmathematical control theorymodeling and simulationexogenous disturbancesapplied mathematicslinear network systems

Coordination of Water Flow With Optimal Power System Operation. IFAC-PapersOnLine (2023)

Nguyen Manh HungKevin L. MooreHyo-Sung Ahn

engineeringwater flow

Emerging Robust and Data‐Driven Control Methods for Uncertain Learning Systems. International Journal of Robust and Nonlinear Control (2023)

Deyuan MengKevin L. MooreRonghu Chi

data-driven control methodssystems engineeringautomatic controlrobust controluncertain learning systemscontrol systemsmodel predictive controlnonlinear control

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Kevin Moore

Professor

Colorado School of Mines

Affiliations

Electrical Engineering

Engineering, Design, & Society

Kevin Moore is currently serving as an Electrical Engineering Professor at Colorado School of Mines.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kevin Moore

Colorado School of Mines

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Merging Rules for Strong Structural Controllability and Minimum Input Problem in Undirected Networks. Journal of the Franklin Institute (2025)

Nam-Jin ParkSeong-Ho KwonYoo-Bin BaeByeong-Yeon KimKevin L. MooreHyo-Sung Ahn

systems engineeringundirected networksmerging rulesminimum input problemstrong structural controllabilitymathematical control theory

Climate Change Mitigation, Adaptation, and Resilience: Challenges and Opportunities for the Control Systems Community. IEEE Control Systems (2024)

systems engineeringadaptationcontrol systems communityresilienceclimate change mitigation

Composition Rules for Strong Structural Controllability and Minimum Input Problem in Diffusively-Coupled Networks. arXiv (Cornell University) (2024)

Park, Nam-JinKwon, Seong-HoBae, Yoo-BinKim, Byeong-YeonMoore, Kevin L.Ahn, Hyo-Sung

diffusively-coupled networksminimum input problemcomposition rulesmathematical control theoryapplied mathematicsdynamical systems

Controllability Matrix Analysis of Structured Networks: A Tight Lower Bound on the Dimension of Controllable Subspace. 2022 European Control Conference (ECC) (2024)

Nam-Jin ParkYoo-Bin BaeKevin L. MooreHyo-Sung Ahn

tight lower boundlower boundscontrol systemscontrollability matrix analysisstructured networkscontrollable subspace

Data-Driven Norm-Optimal Control of Discrete Repetitive Processes. (2024)

Kevin L. MooreBing ChuPaolo Rapisarda

data-driven norm-optimal controldiscrete repetitive processes

Iterative Learning Control — Algorithms, Applications and Future Research Directions. (2024)

Eric RogersBing ChuKevin MooreTom OomenYing Tan

computer scienceautomatic controllearning controlfuture research directionscontrol optimizationiterative learning controlmachine learning

Society of Women Engineers: Some Best Practices From the Largest Collegiate Swe Section. (2024)

Kevin Moore

engineering educationengineeringbest practiceswomen engineers

Consensus of Linear Network Systems Diffusively Coupled With Exogenous Disturbances: An ℋ ∞ Approach. International Journal of Robust and Nonlinear Control (2023)

Younghun JohnKwang‐Kyo OhKevin L. MooreHyo‐Sung Ahn

robust controlmathematical control theorymodeling and simulationexogenous disturbancesapplied mathematicslinear network systems

Coordination of Water Flow With Optimal Power System Operation. IFAC-PapersOnLine (2023)

Nguyen Manh HungKevin L. MooreHyo-Sung Ahn

engineeringwater flow

Emerging Robust and Data‐Driven Control Methods for Uncertain Learning Systems. International Journal of Robust and Nonlinear Control (2023)

Deyuan MengKevin L. MooreRonghu Chi

data-driven control methodssystems engineeringautomatic controlrobust controluncertain learning systemscontrol systemsmodel predictive controlnonlinear control

1
2
3
4
5
16
10 / page

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systems engineering

transportation engineering

Yongcan Cao

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systems engineering

automatic control

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Institution

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applied artificial intelligence

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University of Nevada, Reno

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Huaping Liu

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Oregon State University

mimo systems

adaptive modulation

Mario Sznaier

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control optimization

learning control

Kamal Youcef-Toumi

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engineering

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