Compara mètodes

	Control adaptatiu	Control per retrocessió
Camp	Teoria de control	Teoria de control
Família	Machine learning	Machine learning
Any d'origen	1983	1995
Autor original	Karl J. Astrom	Miroslav Krstic
Tipus	algorithm	algorithm
Font seminal	Astrom, K. J., & Wittenmark, B. (1983). Computer-Controlled Systems: Theory and Design. Prentice Hall.	Krstic, M., Kanellakopoulos, I., & Kokotovic, P. (1995). Nonlinear and Adaptive Control Design. John Wiley & Sons.
Àlies	Self-Tuning Control, Parameter Estimation Control	Integrator Backstepping, Recursive Lyapunov Design
Relacionats	3	3
Resum	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.	Backstepping is a systematic nonlinear control design method that decomposes a complex nonlinear system into simpler subsystems and designs a controller recursively, layer by layer, ensuring stability at each step. Developed by Krstic, Kanellakopoulos, and Kokotovic, backstepping enables control of nonlinear systems without requiring exact model knowledge or full state linearization, combining flexibility with guaranteed stability.