Comparar métodos

	Controle por Modo Deslizante	Linearização por Realimentação
Área	Teoria de controle	Teoria de controle
Família	Machine learning	Machine learning
Ano de origem	1977	1983
Autor original	Vadim Utkin	Alberto Isidori
Tipo	algorithm	algorithm
Fonte seminal	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.
Outros nomes	SMC, Variable Structure Control, Robust Control with Discontinuities	Exact Linearization, Nonlinear Feedback Control, Input-Output Linearization
Relacionados	4	4
Resumo	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.