Comparar métodos

	Control H-infinito	Control Adaptativo
Campo	Teoría de control	Teoría de control
Familia	Machine learning	Machine learning
Año de origen	1981	1983
Autor original	George Zames	Karl J. Astrom
Tipo	algorithm	algorithm
Fuente seminal	Zames, G. (1981). Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses. IEEE Transactions on Automatic Control, 26(2), 301-320.	Astrom, K. J., & Wittenmark, B. (1983). Computer-Controlled Systems: Theory and Design. Prentice Hall.
Alias	H∞ Control, Robust Control, Minimax Control	Self-Tuning Control, Parameter Estimation Control
Relacionados	4	3
Resumen	H-infinity (H∞) control is a robust control method that minimizes the worst-case gain from disturbances to controlled outputs, formulated as a minimax optimization problem. Pioneered by Zames in the early 1980s, H∞ control provides a principled way to design feedback controllers that tolerate model uncertainty, unmodeled dynamics, and disturbances while maintaining stability and performance, making it essential for applications requiring guaranteed robustness.	Adaptive Control is a control strategy that adjusts controller parameters in real-time based on online system identification to maintain performance despite changing plant dynamics or uncertain parameters. Pioneered by Astrom and Wittenmark, adaptive control enables robust operation in time-varying environments, from aircraft with fuel depletion to industrial systems with aging components.