Frank Allgöwer
Control and Systems Engineering · 2000–2019
A researcher in the Science corpus: 18 papers; trusts 51 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 75 citations into it; #1,027 of 8,257 by trust here, #576 by citations
- Computer Networks and Communications — 44 citations into it; #4,275 of 9,886 by trust here, #4,594 by citations
- Artificial Intelligence — 14 citations into it
- Molecular Biology — 13 citations into it
- Robotics & Control — 11 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Mathematical Optimization — 10 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Frank Allgöwer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fernando A. C. C. Fontes
- Reza Olfati-Saber
- James B. Rawlings
- Manfred Morari
- Ali Jadbabaie
- Giuseppe De Nicolao
- David Q. Mayne
- Moritz Diehl
- Nikhil Chopra
- Murat Arcak
Who trusts Frank Allgöwer overall
- Joel A. E. Andersson
- Lars Grüne
- Moritz Diehl
- Bin Zhou
- Arthur G. Richards
- Ulrich Münz
- Xiaohua Xia
- Abdelkader Abdessameud
- Gabriele Pannocchia
- Guoying Gu
Papers from Frank Allgöwer's perspective
Ordered by how strongly the researchers Frank Allgöwer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Data-Driven Model Predictive Control With Stability and Robustness Guarantees (2019) — 834 citations
- Learning an Approximate Model Predictive Controller With Guarantees (2018) — 299 citations
- On the role of dissipativity in economic model predictive control (2015) — 52 citations
- Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints (2011) — 125 citations
- An internal model principle is necessary and sufficient for linear output synchronization (2011) — 923 citations
- Delay robustness in consensus problems (2010) — 266 citations
- On consensus in multi-agent systems with linear high-order agents (2008) — 157 citations
- An Observer That Converges in Finite Time Due to Measurement-Based State Updates (2008) — 58 citations
- An impulsive observer that estimates the exact state of a linear continuous-time system in predetermined finite time (2007) — 68 citations
- Robust output feedback model predictive control of constrained linear systems (2006) — 525 citations
- Nominal stability of real-time iteration scheme for nonlinear model predictive control (2005) — 232 citations
- A new control strategy for high-speed atomic force microscopy (2003) — 152 citations
- State and Output Feedback Nonlinear Model Predictive Control: An Overview (2003) — 402 citations
- Output feedback stabilization of constrained systems with nonlinear predictive control (2003) — 78 citations
- An Introduction to Nonlinear Model Predictive Control (2002) — 487 citations
- High performance feedback for fast scanning atomic force microscopes (2001) — 278 citations
- Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations (2000) — 712 citations
- Nonlinearity measures: definition, computation and applications (2000) — 95 citations