So sánh phương pháp

	Điều khiển Dự báo theo Mô hình	Điều khiển Thích ứng
Lĩnh vực	Lý thuyết điều khiển	Lý thuyết điều khiển
Họ	Machine learning	Machine learning
Năm ra đời	1978	1983
Người khởi xướng	Jacques Richalet	Karl J. Astrom
Loại	algorithm	algorithm
Công trình gốc	Richalet, J., Rault, A., Testud, J., & Papon, J. (1978). Model predictive heuristic control. Automatica, 14(5), 413-428.	Astrom, K. J., & Wittenmark, B. (1983). Computer-Controlled Systems: Theory and Design. Prentice Hall.
Tên gọi khác	MPC, Receding Horizon Control	Self-Tuning Control, Parameter Estimation Control
Liên quan	5	3
Tóm tắt	Model Predictive Control (MPC) is an advanced control strategy that uses an explicit process model to predict future system behavior over a finite horizon and solves an optimization problem at each control step. First formalized by Richalet et al. in 1978, MPC has become the dominant approach in process control industries, from chemical plants to autonomous vehicles, because it naturally handles constraints and can optimize multiple objectives simultaneously.	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.