M. Chilali
- Control and Systems Engineering top 0.1%
- Stability and Control of Uncertain Systems 9
- Control Systems and Identification 7
- Adaptive Control of Nonlinear Systems 4
- Control and Stability of Dynamical Systems 2
- Advanced Control Systems Optimization 1
- Robotic Mechanisms and Dynamics 1
- Numerical Analysis top 2%
- Automotive Engineering top 2%
- Computational Theory and Mathematics top 0.5%
- Matrix Theory and Algorithms 4
- Computational Mathematics top 5%
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- Topology Optimization in Engineering 1
- Journals
- IEEE Transactions on Automatic Control (4 papers)IFAC Proceedings Volumes (1 paper)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
M. Chilali
10 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Control and Systems Engineering 4.8k
- Numerical Analysis 317
- Automotive Engineering 487
- Computational Theory and Mathematics 635
- Computational Mathematics 18
Countries citing papers authored by M. Chilali
This map shows the geographic impact of M. Chilali'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 M. Chilali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Chilali more than expected).
Fields of papers citing papers by M. Chilali
This network shows the impact of papers produced by M. Chilali. 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 M. Chilali. The network helps show where M. Chilali may publish in the future.
Co-authorship network
The 5 scholars most cited alongside M. Chilali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | H design with pole placement constraints | 2018 | 1 |
| 2 | The LMI control toolboxbreakdown → | 2002 | 573 |
| 3 | 2002 | 41 | |
| 4 | 2002 | 3 | |
| 5 | 2002 | 13 | |
| 6 | Robust pole placement in LMI regionsbreakdown → | 1999 | 593 |
| 7 | Multiobjective output-feedback control via LMI optimizationbreakdown → | 1997 | 1803 |
| 8 | 1996 | 88 | |
| 9 | Affine parameter-dependent Lyapunov functions and real parametric uncertaintybreakdown → | 1996 | 763 |
| 10 | H/sub ∞/ design with pole placement constraints: an LMI approachbreakdown → | 1996 | 1624 |
About M. Chilali
M. Chilali is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Civil and Structural Engineering, Mechanical Engineering and Infectious Diseases, having authored 10 papers that have together received 5.5k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (9 papers), Control Systems and Identification (7 papers), Matrix Theory and Algorithms (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Control and Stability of Dynamical Systems (2 papers), Advanced Control Systems Optimization (1 paper), Topology Optimization in Engineering (1 paper) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Control and Systems Engineering (4.8k citations), Numerical Analysis (317 citations), Automotive Engineering (487 citations), Computational Theory and Mathematics (635 citations) and Computational Mathematics (18 citations). M. Chilali has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include P. Gahinet, Carsten W. Scherer, Pierre Apkarian, Arkadi Nemirovski and Alan J. Laub. Their work appears in journals such as IEEE Transactions on Automatic Control and IFAC Proceedings Volumes.
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.