Results 31 to 40 of about 2,244,832 (340)
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Shot-noise-limited control-loop noise in an interferometer with multiple degrees of freedom [PDF]
, 2010 Precise measurements, such as those made with interferometric gravitational-wave detectors, require the measurement device to be properly controlled so that the sensitivity can be as high as possible.
Miyakawa, Osamu, Somiya, Kentaro
core +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Bio-Inspired Aerodynamic Noise Control: A Bibliographic Review
Applied Sciences, 2019 It is well-known that many species of owl have the unique ability to fly silently, which can be attributed to their distinctive and special feather adaptations.
Yong Wang +4 more
doaj +1 more source
Achieving precise mechanical control in intrinsically noisy systems [PDF]
, 2013 How can precise control be realized in intrinsically noisy systems? Here, we develop a general theoretical framework that provides a way of achieving precise control in signal-dependent noisy environments.
David Waxman +8 more
core +3 more sources
Investigation and Evaluation of Adaptive Algorithms for Multichannel Active Noise Control System [PDF]
arXiv, 2023 This dissertation focuses on the investigation and evaluation of adptive algorithms for multichannel active noise control system. The aim of the research is to investigate the effectiveness of the FxLMS algorithm and the pre-trained control filter in attenuating various types of noise.
arxiv
Comparative study of surface integral methods in aeroacoustic prediction
Frontiers in Physics, 2023 Introduction: Surface integral methods based on the acoustic analogy and Kirchhoff formulation are widely employed in computational aeroacoustics. The computational accuracy is usually highly dependent on the selections of the acoustic prediction method ...
Chen Xu +5 more
doaj +1 more source
A linear theory for control of non-linear stochastic systems [PDF]
, 2005 We address the role of noise and the issue of efficient computation in stochastic optimal control problems. We consider a class of non-linear control problems that can be formulated as a path integral and where the noise plays the role of temperature ...
H. Kleinert +6 more
core +2 more sources
, 2021 This chapter includes the mechanism of sound absorption and the classes of sound absorbing material to control the noise. The basic phenomena related to the reduction of sound by allowing it to soak in and dissipate also were introduced first, which, can be realised by viscous effects, heat conduction effects, and internal molecular energy interchanges.
Devarun Nath, Mallika Datta, Srijan Das
openaire +4 more sources
Performance analysis of control allocation using data‐driven integral quadratic constraints
Advanced Control for Applications, Volume 4, Issue 4, December 2022., 2022 Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch +2 more
wiley +1 more source