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क्षेत्रनियंत्रण सिद्धांतनियंत्रण सिद्धांत
परिवारMachine learningMachine learning
उद्भव वर्ष19831977
प्रवर्तकAlberto IsidoriVadim Utkin
प्रकारalgorithmalgorithm
मौलिक स्रोतIsidori, 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 ↗
उपनामExact Linearization, Nonlinear Feedback Control, Input-Output LinearizationSMC, Variable Structure Control, Robust Control with Discontinuities
संबंधित44
सारांशFeedback 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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ScholarGateविधियों की तुलना करें: Feedback Linearization · Sliding Mode Control. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare