Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Control por Modo Deslizante× | Control por retroceso× | |
|---|---|---|
| Campo | Teoría de control | Teoría de control |
| Familia | Machine learning | Machine learning |
| Año de origen≠ | 1977 | 1995 |
| Autor original≠ | Vadim Utkin | Miroslav Krstic |
| Tipo | algorithm | algorithm |
| Fuente seminal≠ | Utkin, V. I. (1977). Variable structure systems with sliding modes. IEEE Transactions on Automatic Control, 22(2), 212-222. DOI ↗ | Krstic, M., Kanellakopoulos, I., & Kokotovic, P. (1995). Nonlinear and Adaptive Control Design. John Wiley & Sons. link ↗ |
| Alias≠ | SMC, Variable Structure Control, Robust Control with Discontinuities | Integrator Backstepping, Recursive Lyapunov Design |
| Relacionados≠ | 4 | 3 |
| Resumen≠ | Sliding Mode Control (SMC) is a robust nonlinear control technique that forces a system to follow a predetermined surface (the sliding surface) in state space by using discontinuous (bang-bang or high-frequency switching) control inputs. Developed by Utkin and further advanced by Slotine, SMC is remarkably insensitive to parameter variations and disturbances—once the system reaches the sliding surface, its behavior is determined solely by the surface geometry, not by uncertainty. This makes SMC powerful for nonlinear systems, manipulators, and uncertain systems where robustness is paramount. | 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. |
| ScholarGateConjunto de datos ↗ |
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