Results 21 to 30 of about 93,147 (298)
Aerospace, 2023 The Loewner framework has recently been proposed for the system identification of mechanical systems, mitigating the limitations of current frequency domain fitting processes for the extraction of modal parameters.
Gabriele Dessena +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
Efficient Forced Response Computations of Acoustical Systems with a State-Space Approach
Acoustics, 2021 State-space models have been successfully employed for model order reduction and control purposes in acoustics in the past. However, due to the cubic complexity of the singular value decomposition, which makes up the core of many subspace system ...
Art J. R. Pelling, Ennes Sarradj
doaj +1 more source
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
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
Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach
Abstract and Applied Analysis, 2014 This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. As the predictor is the key element of the predictive controller, we propose to derive such predictor based on the subspace matrices which are
Xiaosuo Luo, Yongduan Song
doaj +1 more source
Real-time performance monitoring of tuned mass damper system for a 183 m reinforced concrete chimney [PDF]
, 2010 A 183 m reinforced concrete chimney for a coal-fired power station was instrumented in the latter part of its life during the construction of a replacement chimney.
C.R. Goddard +12 more
core +1 more source
IEEE Access, 2022 This paper provides a subspace method for closed-loop identification, which clearly specifies the model order from noisy measurement data. The method can handle long I/O data of the target system to be noise-tolerant and determine the model order via ...
Ichiro Maruta, Toshiharu Sugie
doaj +1 more source
Subspace Identification of Local 1D Homogeneous Systems
IFAC-PapersOnLine, 2015 This paper studies the local subspace identification of 1D homogeneous networked systems. The main challenge lies at the unmeasurable interconnection signals between neighboring subsystems. Since there are many unknown inputs to the concerned local system, the corresponding identification problem is semi-blind. To cope with this problem, a nuclear norm
Yu, C. (author) +2 more
openaire +2 more sources