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Dziedzina	Teoria sterowania	Teoria sterowania
Rodzina	Machine learning	Machine learning
Rok powstania	1977	1983
Twórca	Vadim Utkin	Alberto Isidori
Typ	algorithm	algorithm
Źródło pierwotne	Utkin, V. I. (1977). Variable structure systems with sliding modes. IEEE Transactions on Automatic Control, 22(2), 212-222.	Isidori, A. (1995). Nonlinear Control Systems (3rd ed.). Springer-Verlag.
Inne nazwy	SMC, Variable Structure Control, Robust Control with Discontinuities	Exact Linearization, Nonlinear Feedback Control, Input-Output Linearization
Pokrewne	4	4
Podsumowanie	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.	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.