Comparar métodos

	Control por retroceso	Linealización por Retroalimentación
Campo	Teoría de control	Teoría de control
Familia	Machine learning	Machine learning
Año de origen	1995	1983
Autor original	Miroslav Krstic	Alberto Isidori
Tipo	algorithm	algorithm
Fuente seminal	Krstic, M., Kanellakopoulos, I., & Kokotovic, P. (1995). Nonlinear and Adaptive Control Design. John Wiley & Sons.	Isidori, A. (1995). Nonlinear Control Systems (3rd ed.). Springer-Verlag.
Alias	Integrator Backstepping, Recursive Lyapunov Design	Exact Linearization, Nonlinear Feedback Control, Input-Output Linearization
Relacionados	3	4
Resumen	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.	Feedback Linearization is a nonlinear control technique that uses a nonlinear state-feedback transformation to convert a nonlinear system into a linear one, enabling the use of standard linear control methods. Developed by Isidori, Sontag, and others in the 1980s, feedback linearization is conceptually elegant and powerful: if the system satisfies certain structural conditions (relative degree, decoupling matrix rank), the nonlinearities can be exactly cancelled through feedback, reducing the problem to linear design.