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분야제어이론제어이론
계열Machine learningMachine learning
기원 연도19831977
창시자Alberto IsidoriVadim Utkin
유형algorithmalgorithm
원전Isidori, A. (1995). Nonlinear Control Systems (3rd ed.). Springer-Verlag. DOI ↗Utkin, V. I. (1977). Variable structure systems with sliding modes. IEEE Transactions on Automatic Control, 22(2), 212-222. DOI ↗
별칭Exact Linearization, Nonlinear Feedback Control, Input-Output LinearizationSMC, Variable Structure Control, Robust Control with Discontinuities
관련44
요약Feedback 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.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.
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ScholarGate방법 비교: Feedback Linearization · Sliding Mode Control. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare