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Kawalan Adaptif×Kawalan Backstepping×
BidangTeori KawalanTeori Kawalan
KeluargaMachine learningMachine learning
Tahun asal19831995
PengasasKarl J. AstromMiroslav Krstic
Jenisalgorithmalgorithm
Sumber perintisAstrom, 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 ↗
AliasSelf-Tuning Control, Parameter Estimation ControlIntegrator Backstepping, Recursive Lyapunov Design
Berkaitan33
RingkasanAdaptive 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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ScholarGateBandingkan kaedah: Adaptive Control · Backstepping Control. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare