Iterative algorithms for the input and state recovery from the approximate inverse of strictly proper multivariable systems
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.08.026
Abstract: Abstract This paper proposes new iterative algorithms for the unknown input and state recovery from the system outputs using an approximate inverse of the strictly proper linear time-invariant (LTI) multivariable system. One of the unique… read more here.
Keywords: state; approximate inverse; iterative algorithms; state recovery ... See more keywords
Algebra of L-Banded Matrices
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DOI: 10.1109/access.2023.3244780
Abstract: Convergence is a crucial issue in iterative algorithms. Damping is commonly employed to ensure the convergence of iterative algorithms. The conventional ways of damping are scalar-wise, and either heuristic or empirical. Recently, an analytically optimized… read more here.
Keywords: iterative algorithms; banded matrices; algebra banded;
Optimization of Iterative Algorithms for Focusing Light Through Scattering Media
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DOI: 10.1109/jphot.2017.2679026
Abstract: A light beam transmitted through scattering media usually turns into disordered speckles. Fortunately, there are iterative algorithms to focus light transmitted through scattering media using a spatial phase modulator (SPM). In this work, we optimized… read more here.
Keywords: spm; iterative algorithms; phase compensation; scattering media ... See more keywords
The Analysis of Optimization Algorithms: A Dissipativity Approach
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DOI: 10.1109/mcs.2022.3157115
Abstract: Optimization problems in engineering and applied mathematics are typically solved in an iterative fashion, by systematically adjusting the variables of interest until an adequate solution is found. The iterative algorithms that govern these systematic adjustments… read more here.
Keywords: dissipativity; control systems; optimization algorithms; iterative algorithms ... See more keywords
Partial Hard Thresholding
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DOI: 10.1109/tit.2017.2686880
Abstract: We study iterative algorithms for compressed sensing that have an “orthogonalization” step at each iteration to keep the residual orthogonal to the span of those columns of the measurement matrix that have been selected so… read more here.
Keywords: iterative algorithms; partial hard; hard thresholding; pht operator ... See more keywords
Two iterative algorithms for solving the split common fixed point problems
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DOI: 10.2298/fil2013375w
Abstract: The purpose of this paper is to study the split common fixed point problems (SCFP) involved in nonexpansive mappings in real Hilbert space. We introduce two iterative algorithms for finding a solution of the SCFP… read more here.
Keywords: fixed point; two iterative; point problems; iterative algorithms ... See more keywords