Title :
Mu robustness analysis of adaptive feedforward noise cancelling algorithms
Author :
Bayard, David S.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
Robust control theory is applied to analyzing a class of adaptive feedforward algorithms which are commonly used for cancelling sinusoidal noise. It is shown that by using a previously developed LTI/LTV decomposition, sufficient conditions for robust stability can be established in terms of the structured singular value. This approach differs significantly from more accepted methods of adaptive analysis using hyperstability, Lyapunov functions, etc., and leads to important insights when studying robust stability properties of the adaptive system
Keywords :
acoustic variables control; adaptive control; control system analysis; feedforward; harmonics suppression; robust control; LTI/LTV decomposition; adaptive feedforward noise cancelling algorithms; mu robustness analysis; robust stability; sinusoidal noise; structured singular value; sufficient conditions; Adaptive control; Adaptive systems; Algorithm design and analysis; Lyapunov method; Noise cancellation; Noise robustness; Programmable control; Robust control; Robust stability; Sufficient conditions;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.786265