K. Åström
Control and Systems Engineering · 1965–2014
A researcher in the Science corpus: 17 papers; trusts 42 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 40 citations into it; #350 of 8,257 by trust here, #410 by citations
- Computer Networks and Communications — 22 citations into it
- Electrical and Electronic Engineering — 17 citations into it; #10,234 of 16,539 by trust here, #15,217 by citations
- Computational Theory and Mathematics — 9 citations into it
- Artificial Intelligence — 8 citations into it; #7,466 of 35,345 by trust here, #15,004 by citations
- Mathematical Optimization — 7 citations into it
- Molecular Biology — 7 citations into it
- Game & Decision Theory — 6 citations into it
Whom K. Åström trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tamer Basar
- Sebastian Thrun
- Richard Bellman
- Dimitri P. Bertsekas
- Hidde de Jong
- Joelle Pineau
- Andrew Y. Ng
- Yurii E. Nesterov
- Matthijs T. J. Spaan
- Giuseppe Carlo Calafiore
Who trusts K. Åström overall
- Z. Hou
- YangQuan Chen
- Philip Thomas
- Jan Jantzen
- M. Lemmon
- Marek Miskowicz
- Michel Fliess
- P. Arun Raj Kumar
- Sylvain Calinon
- Serdar Ethem Hamamci
Papers from K. Åström's perspective
Ordered by how strongly the researchers K. Åström 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)
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Comparison of Riemann and Lebesgue sampling for first order stochastic systems (2002) — 1,065 citations
- Design and Modeling of a High-Speed AFM-Scanner (2007) — 375 citations
- Systems with Lebesgue sampling (2003) — 49 citations
- Control: A perspective (2014) — 326 citations
- Measurement noise filtering for PID controllers (2014) — 99 citations
- Performance and robustness trade-offs in PID control (2014) — 166 citations
- Comparison of Several Adaptive Controllers According to Their Robustness Metrics (2010) — 51 citations
- Guaranteed dominant pole placement with PID controllers (2009) — 192 citations
- Feedback Systems: An Introduction for Scientists and Engineers (2008) — 353 citations
- Advanced PID Control (2005) — 1,947 citations
- Revisiting the Ziegler-Nichols step response method for PID control (2004) — 867 citations
- Revisiting The Ziegler‐Nichols Tuning Rules For Pi Control (2002) — 284 citations
- Drum-boiler dynamics (2000) — 638 citations
- PID Controllers: Theory, Design, and Tuning (1995)
- Adaptive Control (1989)
- Automatic tuning of simple regulators with specifications on phase and amplitude margins (1984)
- Optimal control of Markov processes with incomplete state information (1965)