Felix Fiedler

About Felix Fiedler

Felix Fiedler, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Technische Universität Dortmund, specializes in the field of process control, optimization, model predictive control, moving horizon estimation, deep learning.

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

Improved uncertainty quantification for neural networks with Bayesian last layer

do-mpc: Towards FAIR nonlinear and robust model predictive control

Probabilistic multi-step identification with implicit state estimation for stochastic MPC

Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges

Model predictive control with neural network system model and Bayesian last layer trust regions

Deep learning implementation of model predictive control for multioutput resonant converters

Towards Optimization-Based Predictive Congestion Control for the Tor Network

On the relationship between data-enabled predictive control and subspace predictive control

Felix Fiedler Information

University

Position

___

Citations(all)

81

Citations(since 2020)

81

Cited By

4

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Felix Fiedler Skills & Research Interests

process control

optimization

model predictive control

moving horizon estimation

deep learning

Top articles of Felix Fiedler

Improved uncertainty quantification for neural networks with Bayesian last layer

IEEE Access

2023/11/2

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

do-mpc: Towards FAIR nonlinear and robust model predictive control

Control Engineering Practice

2023/11/1

Probabilistic multi-step identification with implicit state estimation for stochastic MPC

IEEE Access

2023/10/20

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges

2022/11/14

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

Model predictive control with neural network system model and Bayesian last layer trust regions

2022/6/27

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

Deep learning implementation of model predictive control for multioutput resonant converters

IEEE Access

2022/6/16

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

Towards Optimization-Based Predictive Congestion Control for the Tor Network

Electronic Communications of the EASST

2021/9/8

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

On the relationship between data-enabled predictive control and subspace predictive control

2021/6/29

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

Predictor: Predictive congestion control for the tor network

2020/8/24

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

A probabilistic moving horizon estimation framework applied to the visual-inertial sensor fusion problem

2020/5/12

Felix Fiedler
Felix Fiedler

H-Index: 1

Sergio Lucia
Sergio Lucia

H-Index: 16

Economic nonlinear predictive control of water distribution networks based on surrogate modeling and automatic clustering

IFAC-PapersOnLine

2020/1/1

From screening to production: a holistic approach of high-throughput model-based screening for recombinant protein production

2020/1/1

See List of Professors in Felix Fiedler University(Technische Universität Dortmund)

Co-Authors

academic-engine