Author
Hüseyin Akçay
Other affiliations: University of Bremen, Feza Gürsey Institute, Linköping University ...read more
Bio: Hüseyin Akçay is an academic researcher from Anadolu University. The author has contributed to research in topics: Subspace topology & Frequency domain. The author has an hindex of 22, co-authored 122 publications receiving 2029 citations. Previous affiliations of Hüseyin Akçay include University of Bremen & Feza Gürsey Institute.
Papers published on a yearly basis
Papers
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TL;DR: Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from frequency response data are presented.
Abstract: Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from frequency response data are presented. The algorithms are related to the recent time-domain subspace identification techniques. The first algorithm uses equidistantly, in frequency, spaced data and is strongly consistent under weak noise assumptions. The second algorithm uses arbitrary frequency spacing and is strongly consistent under more restrictive noise assumptions, promising results are obtained when the algorithms are applied to real frequency data originating from a large flexible structure.
536 citations
TL;DR: In this article, the response of the vehicle to profile imposed excitation with randomly varying traverse velocity and variable vehicle forward velocity is analyzed using a linear shape filter with output spectrum matching the measured road spectrum.
157 citations
TL;DR: It is established that the obtained model sets are complete in all of the Hardy spaces H p (P), 1(p(R, and the right half plane algebra A(P) provided that a mild condition on the choice of basis poles is satis"ed.
109 citations
TL;DR: These bases, which generalise the common FIR, Laguerre and two-parameter Kautz ones, are shown to be fundamental in the disc algebra provided a very mild condition on the choice of poles is satisfied.
76 citations
TL;DR: The numerical experiments show that the wind speed forecasts, in particular the multi-step-ahead forecasts, outperform the benchmark values computed with the persistence forecasting models by a clear difference.
70 citations
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Book•
10 Feb 2010
TL;DR: Fractional Order Systems Fractional order PID Controller Chaotic fractional order systems Field Programmable Gate Array, Microcontroller and Field Pmable Analog Array Implementation Switched Capacitor and Integrated Circuit Design Modeling of Ionic Polymeric Metal Composite as discussed by the authors.
Abstract: Fractional Order Systems Fractional Order PID Controller Chaotic Fractional Order Systems Field Programmable Gate Array, Microcontroller and Field Programmable Analog Array Implementation Switched Capacitor and Integrated Circuit Design Modeling of Ionic Polymeric Metal Composite
713 citations
01 Jan 1992
TL;DR: Two novel algorithms to realize a finite dimensional, linear time-invariant state-space model from input-output data are presented: an RQ factorization followed by a singular value decomposition and the solution of an overdetermined set of equations.
Abstract: In this paper, we present two novel algorithms to realize a finite dimensional, linear time-invariant state-space model from input-output data. The algorithms have a number of common features. They are classified as one of the subspace model identification schemes, in that a major part of the identification problem consists of calculating specially structured subspaces of spaces defined by the input-output data. This structure is then exploited in the calculation of a realization. Another common feature is their algorithmic organization: an RQ factorization followed by a singular value decomposition and the solution of an overdetermined set (or sets) of equations. The schemes assume that the underlying system has an output-error structure and that a measurable input sequence is available. The latter characteristic indicates that both schemes are versions of the MIMO Output-Error State Space model identification (MOESP) approach. The first algorithm is denoted in particular as the (elementary MOESP scheme)...
660 citations
TL;DR: The subspace-based approach is found to perform competitive with respect to prediction-error methods, provided the system is properly excited.
627 citations
TL;DR: Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from frequency response data are presented.
Abstract: Two noniterative subspace-based algorithms which identify linear, time-invariant MIMO (multi-input/multioutput) systems from frequency response data are presented. The algorithms are related to the recent time-domain subspace identification techniques. The first algorithm uses equidistantly, in frequency, spaced data and is strongly consistent under weak noise assumptions. The second algorithm uses arbitrary frequency spacing and is strongly consistent under more restrictive noise assumptions, promising results are obtained when the algorithms are applied to real frequency data originating from a large flexible structure.
536 citations
TL;DR: In this paper, the authors present a survey of the key developments which arose in the field since 2006, and illustrate state-of-the-art techniques using a real-world satellite structure.
353 citations