327,077 research outputs found
Charles Studdy Daley, centre, with an unidentified woman and three unidentified men, ca. 1950s [picture] /
No full textTitle devised by cataloguer based on inscription.; Part of the collection: C.S. Daley photograph collection.; Inscriptions: "C. S. Daley in centre; C. S. Daley Collection"--In ink on verso; "Copyright Retained By L. J. Dwyer Canberra"--Stamped on verso; "Dwyer, Canberra"--Embossed lower right corner.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn4657549
Students, including Charles Studdy Daley, in the dining room at Ormond College, University of Melbourne, ca. 1914 [picture] /
No full textTitle devised by cataloguer based on accompanying documentation.; Part of the collection: C.S. Daley photograph collection.; Inscriptions: "C. S. Daley--In pencil on verso; "Sears' Studios, 271 Collins St. Melbourne"--Stamp on verso.; Condition: Discolouration upper right, creases and marks lower left.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn4658972
Dataset for: Active structural acoustic control using an experimentally identified radiation resistance matrix
No full textData required to reproduce plots presented in Milton, J., Cheer, J., & Daley, S. (2020). Active structural acoustic control using an experimentally identified radiation resistance matrix, Journal of the Acoustical Society of America.
DOI: https://doi.org/10.1121/10.0000858</span
Experimental identification of the radiation resistance matrix - Supporting Data
No full textData required to reproduce plots presented in Milton, J., Cheer, J., & Daley, S. (2019). Experimental identification of the radiation resistance matrix, Journal of the Acoustical Society of America.</span
A Parametric Study of an Acoustic Black Hole on a Beam - Supporting Data
No full textData required to reproduce plots presented in Hook, K., Cheer, J., & Daley, S. (2019). A Parametric Study of an Acoustic Black Hole on a Beam, Journal of the Acoustical Society of America.</span
S-26 Side A - Mary Daley
No full textrecollections of Comer Brook in the 1920's and 1930's; and of her nursing career at C.B. General Hospita
S-26 Side B - Mary Daley
No full textrecollections of Comer Brook in the 1920's and 1930's; and of her nursing career at C.B. General Hospita
Daley, Richard J.- Mayor of Chicago (1959-1969)(JSK_BB5_F013)
No full textCorrespondence with Mayor Richard Daley of Chicag
A method of adaptation between steepest-descent and Newton's algorithm for multichannel active control of tonal noise and vibration
No full textActive control methods have been applied to a number of practical problems in which it is necessary to control a tonal disturbance. For example, the control of engine noise and vibration in vehicles, propeller noise in aircraft and the vibration produced by reciprocating machinery in many industrial systems. In such applications the steepest-descent algorithm has been widely employed, in part due to its robustness to variations in the plant response. This robustness, however, comes at the expense of a potentially slow convergence speed and this may limit the performance in applications where the disturbance is non-stationary. To improve the speed of convergence, an iterative least-squares algorithm can be employed, such as Newton’s algorithm. The convergence of these algorithms is less dependent on the potentially large eigenvalue spread of a multichannel plant matrix and, therefore, can theoretically achieve more rapid convergence. However, these algorithms are significantly less robust to plant response variations and, therefore, their practical performance can be somewhat limited. Generalised algorithms have been presented which combine steepest-descent and Newton’s method in or- der to provide a fixed compromise between convergence and robustness. This paper presents a method of adaptively combining steepest-descent and Newton’s method in order to achieve both rapid convergence and robustness to plant response variations. The two algorithms are combined into a single update equation in which a single mixing parameter facilitates a trade-off between the two algorithms. A method of adapting this parameter to minimise the cost function is presented and the performance of the proposed algorithm is assessed through a series of simulations. The proposed combination algorithm is shown to improve the control performance in the presence of plant response variations compared to both the steepest-descent and Newton’s algorithms
Multivariable control of tonal disturbances using minimization of the maximum error signal through adaptive error signal weighting
No full textIn many multichannel active noise and vibration control systems the controller is adapted to minimize the 2-norm of the error signals. This may, however, lead to a large spatial variance in the residual error. A method of achieving a more uniformly controlled error field using a weighted squared error strategy has previously been proposed, although the presented method of defining the error weighting parameters results in a very slow convergence rate. This convergence rate limitation has been overcome by the minimax algorithm which minimizes, in a least-squares sense, the maximum error signal at each iteration. However, due to the inherent switching in this algorithm, for fast convergence speeds it suffers from significant misadjustment and in a tonal control problem this introduces additional unwanted spectral components. In this paper an alternative method of minimizing the maximum error signal is proposed which uses an adaptive error-weighting matrix that is bounded and so avoids the slow convergence speeds previously reported. It is also shown that the proposed algorithm does not suffer from the same misadjustement problems shown by the minimax algorithm. The details of the proposed method are first outlined and then its performance is compared to the previously proposed methods through a series of time-domain simulations employing measurements of a physical system
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