Results 41 to 50 of about 3,247,690 (230)
Subspace confinement : how good is your qubit? [PDF]
, 2007 The basic operating element of standard quantum computation is the qubit, an isolated two-level system that can be accurately controlled, initialized and measured. However, the majority of proposed physical architectures for quantum computation are built
Cole, Jared H. +4 more
core +2 more sources
Subspace Identification for Industrial Processes
Trends in Computational and Applied Mathematics, 2011 Summary: Subspace identification has been a topic of research along the last years. Methods as MOESP and N4SID are well known and they use the LQ decomposition of certain matrices of input and output data. Based on these we introduce the MON4SID method, which uses the techniques MOESP and N4SID.
Borjas, S.D.M., Garcia, C.
openaire +4 more sources
Recursive subspace identification algorithm using the propagator based method [PDF]
, 2017 Subspace model identification (SMI) method is the effective method in identifying dynamic state space linear multivariable systems and it can be obtained directly from the input and output data. Basically, subspace identifications are based on algorithms
Jamaludin, I. W., Wahab, N. A.
core +3 more sources
A Kernel Design Approach to Improve Kernel Subspace Identification
IEEE transactions on industrial electronics (1982. Print), 2020 Subspace identification methods, such as canonical variate analysis (CVA), are noniterative tools suitable for the state-space modeling of multi-input, multi-output processes, e.g., industrial processes, using input–output data. To learn nonlinear system
K. Pilario, Yi Cao, M. Shafiee
semanticscholar +1 more source
Stochastic Subspace Method for Experimental Modal Analysis
MATEC Web of Conferences, 2016 The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model.
Liu Dazhi +5 more
doaj +1 more source
Robust Subspace System Identification via Weighted Nuclear Norm Optimization [PDF]
, 2013 Subspace identification is a classical and very well studied problem in system identification. The problem was recently posed as a convex optimization problem via the nuclear norm relaxation.
Ohlsson, Henrik +3 more
core +1 more source
Closed and Open Loop Subspace System Identification of the Kalman Filter [PDF]
Modeling, Identification and Control, 2009 Some methods for consistent closed loop subspace system identification presented in the literature are analyzed and compared to a recently published subspace algorithm for both open as well as for closed loop data, the DSR_e algorithm.
David Di Ruscio
doaj +1 more source
Recursive Delta-Operator-Based Subspace Identification with Fixed Data Size
Complexity, 2023 This paper proposes a recursive delta-operator-based subspace identification method with fixed data size. The majority of existing subspace identification methods are constrained to discrete-time systems because of the disparity in Hankel matrices ...
Miao Yu +3 more
doaj +1 more source
Journal of Sound and Vibration, 2019 A new indirect strategy is proposed to estimate the bridge modal parameters from the dynamic responses of two vehicles using stochastic subspace identification technique.
Jiantao Li +3 more
semanticscholar +1 more source
Recursive Parsimonious Subspace Identification for Closed-Loop Hammerstein Nonlinear Systems
IEEE Access, 2019 In this paper, a recursive closed-loop subspace identification method for Hammerstein nonlinear systems is proposed. To reduce the number of unknown parameters to be identified, the original hybrid system is decomposed as two parsimonious subsystems ...
Jie Hou +4 more
doaj +1 more source