A Historical Perspective of Adaptive Control and Learning
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Abstract (arXiv)
This article provides a historical perspective of the field of adaptive control over the past seven decades and its intersection with learning. A chronology of key events over this large time-span, problem statements that the field has focused on, and key solutions are presented. Fundamental results related to stability, robustness, and learning are sketched. A brief description of various applications of adaptive control reported over this period is included.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Aug 2021.
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Citing papers per year: 2024: 3; 2025: 4; 2026: 1.
8 papers.
- 2024Predictive Linear Online Tracking for Unknown Targetscited by 5
- 2024Non-Stationary Latent Auto-Regressive Banditscited by 3
- 2024Adaptive Manipulation using Behavior Treescited by 1
- 2025Sample Complexity of Linear Quadratic Regulator Without Initial Stabilitycited by 0
- 2025From Model-Based and Adaptive Control to Evolving Fuzzy Controlcited by 0
- 2025A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systemscited by 0
- 2025Spatially Aware Dictionary-Free Koopman Eigenfunction Identification for Modeling and Controlcited by 0
- 2026Foundations of Reinforcement Learning and Control:Connections and New Perspectivescited by 0
- 2026Foundations of Reinforcement Learning and Control:Connections and New Perspectives3 Aug 2026
- 2025Spatially Aware Dictionary-Free Koopman Eigenfunction Identification for Modeling and Control27 Nov 2025
- 2025A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems21 Nov 2025
- 2025From Model-Based and Adaptive Control to Evolving Fuzzy Control7 Jun 2025
- 2025Sample Complexity of Linear Quadratic Regulator Without Initial Stability20 Feb 2025
- 2024Adaptive Manipulation using Behavior Trees20 Jun 2024
- 2024Predictive Linear Online Tracking for Unknown Targets15 Feb 2024
- 2024Non-Stationary Latent Auto-Regressive Bandits5 Feb 2024