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適応制御×バックステッピング制御×
分野制御理論制御理論
系統Machine learningMachine learning
提唱年19831995
提唱者Karl J. AstromMiroslav Krstic
種類algorithmalgorithm
原典Astrom, K. J., & Wittenmark, B. (1983). Computer-Controlled Systems: Theory and Design. Prentice Hall. link ↗Krstic, M., Kanellakopoulos, I., & Kokotovic, P. (1995). Nonlinear and Adaptive Control Design. John Wiley & Sons. link ↗
別名Self-Tuning Control, Parameter Estimation ControlIntegrator Backstepping, Recursive Lyapunov Design
関連33
概要Adaptive Control is a control strategy that adjusts controller parameters in real-time based on online system identification to maintain performance despite changing plant dynamics or uncertain parameters. Pioneered by Astrom and Wittenmark, adaptive control enables robust operation in time-varying environments, from aircraft with fuel depletion to industrial systems with aging components.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.
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ScholarGate手法を比較: Adaptive Control · Backstepping Control. 2026-06-15に以下より取得 https://scholargate.app/ja/compare