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   Articles with "sparse optimization" as a keyword



MOEA/D with chain-based random local search for sparse optimization

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recommendations! Published in 2018 at "Soft Computing"

DOI: 10.1007/s00500-018-3460-y

Abstract: The goal in sparse approximation is to find a sparse representation of a system. This can be done by minimizing a data-fitting term and a sparsity term at the same time. This sparse term imposes… read more here.

Keywords: moea; chain based; sparse; sparse optimization ... See more keywords

The complexity results of the sparse optimization problems and reverse convex optimization problems

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recommendations! Published in 2020 at "Optimization Letters"

DOI: 10.1007/s11590-020-01541-y

Abstract: In this paper, we study complexity results of sparse optimization problems and reverse convex optimization problems. These problems are very important subjects of optimization problems. We prove that the complexity result of the sparsity constraint… read more here.

Keywords: sparse optimization; reverse convex; optimization; optimization problems ... See more keywords

Identification of FIR Models for LTI Multiscale Systems using Sparse Optimization Techniques

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recommendations! Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.05.091

Abstract: Abstract Finite impulse response (FIR) models are very popular in process industries because of their simple model structure, flexibility to explain arbitrary complex stable linear dynamics and finally their ease of implementation in on-line applications.… read more here.

Keywords: identification fir; fir models; sparse optimization; model ... See more keywords

Sparse optimization for image reconstruction in Electrical Impedance Tomography

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recommendations! Published in 2019 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2019.06.033

Abstract: Abstract Electrical Impedance Tomography (EIT) can be used to obtain phase boundaries and gas holdups in multiphase flows. The main challenge in image reconstruction using EIT is the low spatial resolution. In this paper, a… read more here.

Keywords: reconstruction; electrical impedance; image reconstruction; sparse optimization ... See more keywords

Joint sparse optimization: lower-order regularization method and application in cell fate conversion

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recommendations! Published in 2024 at "Inverse Problems"

DOI: 10.1088/1361-6420/ad617d

Abstract: Multiple measurement signals are commonly collected in practical applications, and joint sparse optimization adopts the synchronous effect within multiple measurement signals to improve model analysis and sparse recovery capability. In this paper, we investigate the… read more here.

Keywords: application; sparse optimization; joint sparse; regularization ... See more keywords

Attack Identification for Nonlinear Systems Based on Sparse Optimization

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recommendations! Published in 2022 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2021.3131433

Abstract: Adversarial attacks on controllers of dynamic systems have become a serious threat to many real-world systems, making methods for fast identification of attacks an indispensable part of autonomous systems. With the increasing use of model-based… read more here.

Keywords: sparse optimization; attack identification; identification nonlinear; identification ... See more keywords

Robust Quantum Feature Selection With Sparse Optimization Circuit

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recommendations! Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2025.3526060

Abstract: High-dimensional data has long been a notoriously challenging issue. Existing quantum dimension reduction technology primarily focuses on quantum principal component analysis. However, there are only a few studies on quantum feature selection (QFS) algorithms, and… read more here.

Keywords: optimization circuit; sparse optimization; selection; feature selection ... See more keywords

A Sparse Optimization-Based Control Method for Manipulator With Simultaneous Potential Energy Minimization

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recommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2020.3045427

Abstract: Manipulators may often endure large-scale potential energy variations during kinematic control, producing unsafe oscillations of posture-hold effects. In this brief, for the first time, a sparse-optimization-based control method is proposed to simultaneously guarantee task accuracy… read more here.

Keywords: control method; potential energy; sparse optimization; energy ... See more keywords

Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality

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recommendations! Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"

DOI: 10.1109/tsipn.2022.3181729

Abstract: We propose a promising framework for distributed sparse optimization based on weakly convex regularizers. More specifically, we pose two distributed optimization problems to recover sparse signals in networks. The first problem formulation relies on statistical… read more here.

Keywords: moreau enhanced; sparse optimization; weakly convex; approximate moreau ... See more keywords