Linganisha mbinu

	Udhibiti wa Utabiri wa Modeli	Udhibiti Sanifu
Nyanja	Nadharia ya Udhibiti	Nadharia ya Udhibiti
Familia	Machine learning	Machine learning
Mwaka wa asili	1978	1983
Mwanzilishi	Jacques Richalet	Karl J. Astrom
Aina	algorithm	algorithm
Chanzo asilia	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.
Majina mbadala	MPC, Receding Horizon Control	Self-Tuning Control, Parameter Estimation Control
Zinazohusiana	5	3
Muhtasari	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.