Peter M. Young

3.1k total citations
87 papers, 2.0k citations indexed

About

Peter M. Young is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Peter M. Young has authored 87 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 17 papers in Electrical and Electronic Engineering and 16 papers in Computational Theory and Mathematics. Recurrent topics in Peter M. Young's work include Stability and Control of Uncertain Systems (21 papers), Control Systems and Identification (21 papers) and Advanced Control Systems Optimization (14 papers). Peter M. Young is often cited by papers focused on Stability and Control of Uncertain Systems (21 papers), Control Systems and Identification (21 papers) and Advanced Control Systems Optimization (14 papers). Peter M. Young collaborates with scholars based in United States, United Kingdom and Canada. Peter M. Young's co-authors include John C. Doyle, Manfred Morari, M.P. Newlin, Daniel Zimmerle, Bo Bernhardsson, Anders Rantzer, E.J. Davison, Li Qiu, Yi Han and Abhishek Jain and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Peter M. Young

82 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter M. Young United States 24 1.4k 354 298 278 223 87 2.0k
Boris Houska China 22 1.8k 1.3× 337 1.0× 152 0.5× 351 1.3× 247 1.1× 96 2.7k
Yoram Halevi Israel 20 1.2k 0.9× 198 0.6× 115 0.4× 167 0.6× 96 0.4× 93 1.6k
Alexandre Trofino Brazil 24 2.0k 1.4× 359 1.0× 57 0.2× 210 0.8× 145 0.7× 113 2.3k
J. Ackermann Germany 19 1.6k 1.2× 184 0.5× 60 0.2× 86 0.3× 85 0.4× 74 2.1k
Michel Fliesś France 26 2.2k 1.6× 323 0.9× 29 0.1× 285 1.0× 219 1.0× 98 2.8k
J.M. Gomes da Silva Brazil 27 3.3k 2.4× 271 0.8× 37 0.1× 393 1.4× 140 0.6× 162 3.6k
Germain García France 32 3.4k 2.5× 301 0.9× 66 0.2× 1.2k 4.4× 122 0.5× 195 4.1k
Reinhold Steinhauser Germany 7 801 0.6× 277 0.8× 138 0.5× 43 0.2× 73 0.3× 10 1.4k
V. P. Singh India 21 1.1k 0.8× 151 0.4× 137 0.5× 979 3.5× 81 0.4× 182 1.9k
Andreas Rauh Germany 15 955 0.7× 332 0.9× 71 0.2× 243 0.9× 50 0.2× 207 1.3k

Countries citing papers authored by Peter M. Young

Since Specialization
Citations

This map shows the geographic impact of Peter M. Young's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter M. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Young more than expected).

Fields of papers citing papers by Peter M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Young. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter M. Young. The network helps show where Peter M. Young may publish in the future.

Co-authorship network of co-authors of Peter M. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Young. A scholar is included among the top collaborators of Peter M. Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter M. Young. Peter M. Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Jerry, Daniel Zimmerle, & Peter M. Young. (2022). Flexible networked rural electrification using levelized interpolative genetic algorithm. Energy and AI. 10. 100186–100186.
2.
Johnson, Brian, et al.. (2018). Mitigating Communication Delays in Remotely Connected Hardware-in-the-Loop Experiments. IEEE Transactions on Industrial Electronics. 65(12). 9739–9748. 12 indexed citations
3.
Young, Peter M., et al.. (2015). Nonconservative Lagrangian Mechanics: Purely Causal Equations of Motion. Foundations of Physics. 45(6). 661–672.
4.
Han, Yi, Peter M. Young, Abhishek Jain, & Daniel Zimmerle. (2014). Robust Control for Microgrid Frequency Deviation Reduction With Attached Storage System. IEEE Transactions on Smart Grid. 6(2). 557–565. 129 indexed citations
5.
Han, Yi, Abhishek Jain, Peter M. Young, & Daniel Zimmerle. (2013). Robust control of microgrid frequency with attached storage system. 3043–3048. 10 indexed citations
6.
Han, Yi, Peter M. Young, & Daniel Zimmerle. (2012). Microgrid generation units optimum dispatch for fuel consumption minimization. Journal of Ambient Intelligence and Humanized Computing. 4(6). 685–701. 9 indexed citations
7.
Kisaalita, William S., et al.. (2010). Design and testing of an avian hatchery solar energy incubator for smallholder poultry farmers from the Sudano-Sahelian Belt.. A M A. Agricultural mechanization in Asia, Africa and Latin America. 41(2). 84–90. 5 indexed citations
8.
Young, Peter M., et al.. (2008). Servocontrol of the GS16 Turbine Gas Metering Valve by Physics-Based Robust Controller Synthesis. Journal of Dynamic Systems Measurement and Control. 130(5). 1 indexed citations
9.
Anderson, Charles W., et al.. (2007). Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks. IEEE Transactions on Neural Networks. 18(4). 993–1002. 29 indexed citations
10.
Young, Peter M.. (2005). Controller design with mixed uncertainties. 2. 2333–2337. 27 indexed citations
11.
Hittle, Douglas C., et al.. (2004). Exact Solution to the Governing PDE of a Hot Water-to-Air Finned Tube Cross-Flow Heat Exchanger. HVAC&R Research. 10(1). 21–31. 11 indexed citations
12.
Young, Peter M., et al.. (2002). A skew μ lower bound. American Control Conference. 2753–2758. 1 indexed citations
13.
Young, Peter M., et al.. (2002). A skew /spl mu/ lower bound. 2753–2758 vol.4. 3 indexed citations
14.
Young, Peter M.. (2002). Robustness analysis for full-structured uncertainties. 3. 3464–3469. 5 indexed citations
15.
Young, Peter M., M.P. Newlin, & John C. Doyle. (2002). mu analysis with real parametric uncertainty. CaltechAUTHORS (California Institute of Technology). 1251–1256. 54 indexed citations
16.
Young, Peter M., et al.. (2001). Robust reinforcement learning control with static and dynamic stability. International Journal of Robust and Nonlinear Control. 11(15). 1469–1500. 51 indexed citations
17.
McCabe, Andrew, Peter M. Young, A. Chotai, & C. James Taylor. (2000). Proportional-integral-plus (PIP) control of non-linear systems. Lancaster EPrints (Lancaster University). 9 indexed citations
18.
Young, Peter M., et al.. (1994). Theoretical and Computational Aspects of the Structured Singular Value (数値的最適化アプロ-チによる制御理論 ). 38(3). 129–138. 1 indexed citations
19.
Braatz, Richard D., Peter M. Young, John C. Doyle, & Manfred Morari. (1993). Computational complexity of µ calculation. American Control Conference. 30(30). 1682–1683. 111 indexed citations
20.
Balas, Gary, Peter M. Young, & John C. Doyle. (1991). The Process of Control Design for the NASA Langley Minimast Structure. 562–567. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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