This code implements an adaptive control system comprising a plant model, reference model, and adaptive controller. The plant and reference models are represented as linear state-space systems, while the adaptive controller employs a nonlinear IO system to adjust control parameters based on input signals and system states. The adaptive controller's internal dynamics are governed by differential equations, facilitating real-time adjustments to the control law coefficients.

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[1] Alejandro Paxi, Johan Chambi, "MRAC algorythm for a nuclear reactor control system", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/z3k2-js02. Accessed: Feb. 17, 2025.
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doi = {10.21227/z3k2-js02},
url = {http://dx.doi.org/10.21227/z3k2-js02},
author = {Alejandro Paxi; Johan Chambi },
publisher = {IEEE Dataport},
title = {MRAC algorythm for a nuclear reactor control system},
year = {2024} }
TY - DATA
T1 - MRAC algorythm for a nuclear reactor control system
AU - Alejandro Paxi; Johan Chambi
PY - 2024
PB - IEEE Dataport
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ER -
Alejandro Paxi, Johan Chambi. (2024). MRAC algorythm for a nuclear reactor control system. IEEE Dataport. http://dx.doi.org/10.21227/z3k2-js02
Alejandro Paxi, Johan Chambi, 2024. MRAC algorythm for a nuclear reactor control system. Available at: http://dx.doi.org/10.21227/z3k2-js02.
Alejandro Paxi, Johan Chambi. (2024). "MRAC algorythm for a nuclear reactor control system." Web.
1. Alejandro Paxi, Johan Chambi. MRAC algorythm for a nuclear reactor control system [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/z3k2-js02
Alejandro Paxi, Johan Chambi. "MRAC algorythm for a nuclear reactor control system." doi: 10.21227/z3k2-js02