LMI Properties and Applications in Systems, Stability, and Control Theory
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Abstract (arXiv)
Linear matrix inequalities (LMIs) commonly appear in systems, stability, and control applications. Many analysis and synthesis problems in these areas can be solved as feasibility or optimization problems subject to LMI constraints. Although most well-known LMI properties and manipulation tricks, such as the Schur complement and the congruence transformation, can be found in standard references, many useful LMI properties are scattered throughout the literature. The purpose of this document is to collect and organize properties, tricks, and applications related to LMIs from a number of references together in a single document. In this sense, the document can be thought of as an "LMI encyclopedia" or "LMI cookbook." Proofs of the properties presented in this document are not included when they can be found in the cited references in the interest of brevity. Illustrative examples are included whenever necessary to fully explain a certain property. Multiple equivalent forms of LMIs are often presented to give the reader a choice of which form may be best suited for a particular problem at hand. The equivalency of some of the LMIs in this document may be straightforward to more experienced readers, but the authors believe that some readers may benefit from the presentation of multiple equivalent LMIs.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Mar 2019.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 2; 2024: 2; 2025: 2; 2026: 1.
11 papers.
- 2021On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditionscited by 10
- 2021Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guaranteescited by 10
- 2025Pick-to-Learn for Systems and Control: Data-driven Synthesis with State-of-the-art Safety Guaranteescited by 4
- 2021Linear Matrix Inequality Approaches to Koopman Operator Approximationcited by 2
- 2021System Norm Regularization Methods for Koopman Operator Approximationcited by 2
- 2023Closed-Loop Koopman Operator Approximationcited by 1
- 2024Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operatorcited by 1
- 2025L2RU: a Structured State Space Model with prescribed L2-boundcited by 1
- 2026Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costscited by 1
- 2023Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data Setscited by 0
- 2024Imitation Learning from Observations: An Autoregressive Mixture of Experts Approachcited by 0
- 2026Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costs18 Mar 2026
- 2025Pick-to-Learn for Systems and Control: Data-driven Synthesis with State-of-the-art Safety Guarantees4 Dec 2025
- 2025L2RU: a Structured State Space Model with prescribed L2-bound31 Mar 2025
- 2024Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach12 Nov 2024
- 2024Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator1 Oct 2024
- 2023Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data Sets13 Sep 2023
- 2023Closed-Loop Koopman Operator Approximation27 Mar 2023
- 2021Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees31 Oct 2021
- 2021System Norm Regularization Methods for Koopman Operator Approximation18 Oct 2021
- 2021On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions24 Mar 2021
- 2021Linear Matrix Inequality Approaches to Koopman Operator Approximation6 Feb 2021