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	Återkopplinglineariseringsmetoden	H-infinity-reglering
Ämnesområde	Reglerteknik	Reglerteknik
Familj	Machine learning	Machine learning
Ursprungsår	1983	1981
Upphovsperson	Alberto Isidori	George Zames
Typ	algorithm	algorithm
Ursprungskälla	Isidori, A. (1995). Nonlinear Control Systems (3rd ed.). Springer-Verlag.	Zames, G. (1981). Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses. IEEE Transactions on Automatic Control, 26(2), 301-320.
Alias	Exact Linearization, Nonlinear Feedback Control, Input-Output Linearization	H∞ Control, Robust Control, Minimax Control
Närliggande	4	4
Sammanfattning	Feedback Linearization is a nonlinear control technique that uses a nonlinear state-feedback transformation to convert a nonlinear system into a linear one, enabling the use of standard linear control methods. Developed by Isidori, Sontag, and others in the 1980s, feedback linearization is conceptually elegant and powerful: if the system satisfies certain structural conditions (relative degree, decoupling matrix rank), the nonlinearities can be exactly cancelled through feedback, reducing the problem to linear design.	H-infinity (H∞) control is a robust control method that minimizes the worst-case gain from disturbances to controlled outputs, formulated as a minimax optimization problem. Pioneered by Zames in the early 1980s, H∞ control provides a principled way to design feedback controllers that tolerate model uncertainty, unmodeled dynamics, and disturbances while maintaining stability and performance, making it essential for applications requiring guaranteed robustness.