NSTL国家科技图书文献中心

1. Efficient sparsity-promoting MAP estimation for Bayesian linear inverse problems NSTL国家科技图书文献中心

Lindbloom, Jonathan | Glaubitz, Jan ... - 《Inverse Problems》 - 2025,41(2) - 共31页

摘要：Bayesian hierarchical models can provide | efficient algorithms for finding sparse solutions to ill | -posed linear inverse problems. The models typically | comprise a conditionally Gaussian prior model for the | unknown augmented by a generalized gamma hyper-prior

关键词： image reconstruction | Bayesian inverse problems | sparsity-promoting hierarchical Bayesian learning | conditionally Gaussian priors | (generalized) gamma hyper-priors | convexity

2. Sparsity Promoting Observer Design for Wireless Sensor-Estimator Networks NSTL国家科技图书文献中心

Nachuan Yang | Yuzhe Li ... - 《IEEE Transactions on Automatic Control》 - 2025,70(2) - 1184～1191 - 共8页

摘要：, we formulate the design of the sparsity-promoting | In this article, we consider the design of | structured Luenberger observers to generate sparse sensor | -estimator communication networks. We first illustrate the | relationship between the topology of communication channels

关键词： Observers | Optimization | Wireless sensor networks | Kalman filters | Communication channels | Wireless communication | Networked control systems

3. Adaptive Regulated Sparsity Promoting Approach for Data-Driven Modeling and Control of Grid-Connected Solar Photovoltaic Generation NSTL国家科技图书文献中心

Zhongtian Zhang | Javad Khazaei ... - 《IEEE transactions on sustainable energy》 - 2025,16(1) - 560～572 - 共13页

摘要： sparsity-promoting hyperparameters for each state | learning technique based on sparsity* promotion for data* | This paper introduces a new statistical | -driven modeling and control of solar photovoltaic (PV | ) systems. Compared with conventional sparse regression

关键词： Power system dynamics | Adaptation models | Nonlinear dynamical systems | Voltage control | Mathematical models | Analytical models | Heuristic algorithms | Data-driven modeling | Photovoltaic systems | Adaptive systems

4. Data-driven optimal modeling and prediction of human brucellosis in China NSTL国家科技图书文献中心

Liu, Ying-Ping | Sun, Gui-Quan - 《Nonlinear dynamics》 - 2025,113(8) - 9111～9131 - 共21页

摘要： improved data-driven method called sparsity-promoting | simplify computation, this paper introduces a sparsity | -promoting* technique-elastic network regularization-to* | Brucellosis, a typical zoonotic disease, has | long been a public health concern in China due to its

关键词： Data-driven | Human brucellosis | Homotopy parameter | Dynamic mode decomposition | Sparsity-promoting | Spatiotemporal distribution

5. Robust design optimization with limited data for char combustion NSTL国家科技图书文献中心

Guo, Yulin | Lee, Dongjin ... - 《Structural and multidisciplinary optimization》 - 2025,68(3) - 共18页

摘要： estimate the PDD coefficients via sparsity-promoting | This work presents a robust design | optimization approach for a char combustion process in a | limited-data setting, where simulations of the fluid | -solid coupled system are computationally expensive. We

关键词： Robust design optimization | Surrogate modeling | Sparsity-promoting D-MORPH regression | Polynomial dimensional decomposition | Char combustion

6. Sparsity-aware complex-valued least mean kurtosis algorithms NSTL国家科技图书文献中心

Ozince, Nazim | Menguc, Engin Cemal ... - 《Signal Processing》 - 2025,226 - 共10页

摘要：, combining the well-known sparsity-promoting* strategies* | sparsity-aware CLMK algorithms, named /0 0-norm CLMK (/0 | outperform the existing sparsity-aware algorithms in terms | Complex-valued least mean kurtosis (CLMK | ) algorithm and its augmented version (ACLMK) have recently

关键词： Complex-valued least mean kurtosis | Complex-valued signals | Sparse system identification | Augmented statistics

7. Regulating the macroscopic and microscopic self-assembly behavior of hydroxybutyl chitosan based on alkyl distribution NSTL国家科技图书文献中心

Bi, Shichao | Sun, Guohui ... - 《Carbohydrate Polymers》 - 2025,352 - 共10页

摘要： concentration or sparsity, promoting* interchain assembly to* | Hydroxybutyl chitosan (HBC), a derivative of | chitosan, exhibits biocompatibility and temperature | -sensitive properties, rendering it utilized in tissue | engineering, and biomedical science. Currently, HBC is

关键词： Hydroxybutyl chitosan | Homogeneous modification | Temperature sensitivity | Self-assembly

8. Sparse optimization of H 2 controllers for LTI Systems: A log-barrier Method NSTL国家科技图书文献中心

Yang, Nachuan | Tang, Jiawei ... - 《Automatica》 - 2025,173 - 共9页

摘要： fora control system. Unlike the sparsity promoting | control systems in the past decades, the sparsity* of a* | control which enhances the controller's sparsity* by* | This paper studies the sparse optimization of | H2 controllers for linear time-invariant systems

关键词： H2 performance | Optimal control | Sparsity

9. Damage identification in plate-like structures using frequency-coupled 1-based sparse estimation NSTL国家科技图书文献中心

Nathan Dwek | Vasileios Dimopoulos ... - 《Mechanical Systems & Signal Processing》 - 2025,224(Feb.) - 112084.1～112084.17 - 共17页

摘要： decomposition itself is performed using sparsity-promoting | the desired spatial sparsity* of the estimated damage* | This article proposes a practical and | effective damage identification approach for plate-like | structures. This approach measures the back scattering

关键词： Structural health monitoring | Non-destructive testing | Damage identification | Wave propagation | Sparsity | Inverse problems

10. Convergence analysis of the discretization of continuous-domain inverse problems NSTL国家科技图书文献中心

Guillemet, Vincent | Fageot, Julien ... - 《Inverse Problems》 - 2025,41(4) - 共35页

摘要： formed by the sparsity-promoting* total-variation norm* | We study continuous-domain linear inverse | problems that involve a general data-fidelity term and a | regularisation term. We consider a regularisation that is | , pre-composed with a differential operator that

摘要：Bayesian hierarchical models can provide | efficient algorithms for finding sparse solutions to ill | -posed linear inverse problems. The models typically | comprise a conditionally Gaussian prior model for the | unknown augmented by a generalized gamma hyper-prior

关键词： image reconstruction | Bayesian inverse problems | sparsity-promoting hierarchical Bayesian learning | conditionally Gaussian priors | (generalized) gamma hyper-priors | convexity

摘要：, we formulate the design of the sparsity-promoting | In this article, we consider the design of | structured Luenberger observers to generate sparse sensor | -estimator communication networks. We first illustrate the | relationship between the topology of communication channels

关键词： Observers | Optimization | Wireless sensor networks | Kalman filters | Communication channels | Wireless communication | Networked control systems

摘要： sparsity-promoting hyperparameters for each state | learning technique based on sparsity* promotion for data* | This paper introduces a new statistical | -driven modeling and control of solar photovoltaic (PV | ) systems. Compared with conventional sparse regression

关键词： Power system dynamics | Adaptation models | Nonlinear dynamical systems | Voltage control | Mathematical models | Analytical models | Heuristic algorithms | Data-driven modeling | Photovoltaic systems | Adaptive systems

摘要： improved data-driven method called sparsity-promoting | simplify computation, this paper introduces a sparsity | -promoting* technique-elastic network regularization-to* | Brucellosis, a typical zoonotic disease, has | long been a public health concern in China due to its

关键词： Data-driven | Human brucellosis | Homotopy parameter | Dynamic mode decomposition | Sparsity-promoting | Spatiotemporal distribution

摘要： estimate the PDD coefficients via sparsity-promoting | This work presents a robust design | optimization approach for a char combustion process in a | limited-data setting, where simulations of the fluid | -solid coupled system are computationally expensive. We

关键词： Robust design optimization | Surrogate modeling | Sparsity-promoting D-MORPH regression | Polynomial dimensional decomposition | Char combustion

摘要：, combining the well-known sparsity-promoting* strategies* | sparsity-aware CLMK algorithms, named /0 0-norm CLMK (/0 | outperform the existing sparsity-aware algorithms in terms | Complex-valued least mean kurtosis (CLMK | ) algorithm and its augmented version (ACLMK) have recently

关键词： Complex-valued least mean kurtosis | Complex-valued signals | Sparse system identification | Augmented statistics

摘要： concentration or sparsity, promoting* interchain assembly to* | Hydroxybutyl chitosan (HBC), a derivative of | chitosan, exhibits biocompatibility and temperature | -sensitive properties, rendering it utilized in tissue | engineering, and biomedical science. Currently, HBC is

关键词： Hydroxybutyl chitosan | Homogeneous modification | Temperature sensitivity | Self-assembly

摘要： fora control system. Unlike the sparsity promoting | control systems in the past decades, the sparsity* of a* | control which enhances the controller's sparsity* by* | This paper studies the sparse optimization of | H2 controllers for linear time-invariant systems

关键词： H2 performance | Optimal control | Sparsity

摘要： decomposition itself is performed using sparsity-promoting | the desired spatial sparsity* of the estimated damage* | This article proposes a practical and | effective damage identification approach for plate-like | structures. This approach measures the back scattering

关键词： Structural health monitoring | Non-destructive testing | Damage identification | Wave propagation | Sparsity | Inverse problems

摘要： formed by the sparsity-promoting* total-variation norm* | We study continuous-domain linear inverse | problems that involve a general data-fidelity term and a | regularisation term. We consider a regularisation that is | , pre-composed with a differential operator that

关键词： sparsity | convergence of optimization problems | rate of convergence | splines | total variation norm

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：Bayesian hierarchical models can provide | efficient algorithms for finding sparse solutions to ill | -posed linear inverse problems. The models typically | comprise a conditionally Gaussian prior model for the | unknown augmented by a generalized gamma hyper-prior

关键词： image reconstruction | Bayesian inverse problems | sparsity-promoting hierarchical Bayesian learning | conditionally Gaussian priors | (generalized) gamma hyper-priors | convexity

摘要：, we formulate the design of the sparsity-promoting | In this article, we consider the design of | structured Luenberger observers to generate sparse sensor | -estimator communication networks. We first illustrate the | relationship between the topology of communication channels

关键词： Observers | Optimization | Wireless sensor networks | Kalman filters | Communication channels | Wireless communication | Networked control systems

摘要： sparsity-promoting hyperparameters for each state | learning technique based on sparsity promotion for data | This paper introduces a new statistical | -driven modeling and control of solar photovoltaic (PV | ) systems. Compared with conventional sparse regression

关键词： Power system dynamics | Adaptation models | Nonlinear dynamical systems | Voltage control | Mathematical models | Analytical models | Heuristic algorithms | Data-driven modeling | Photovoltaic systems | Adaptive systems

摘要： improved data-driven method called sparsity-promoting | simplify computation, this paper introduces a sparsity | -promoting technique-elastic network regularization-to | Brucellosis, a typical zoonotic disease, has | long been a public health concern in China due to its

关键词： Data-driven | Human brucellosis | Homotopy parameter | Dynamic mode decomposition | Sparsity-promoting | Spatiotemporal distribution

摘要： estimate the PDD coefficients via sparsity-promoting | This work presents a robust design | optimization approach for a char combustion process in a | limited-data setting, where simulations of the fluid | -solid coupled system are computationally expensive. We

关键词： Robust design optimization | Surrogate modeling | Sparsity-promoting D-MORPH regression | Polynomial dimensional decomposition | Char combustion

摘要：, combining the well-known sparsity-promoting strategies | sparsity-aware CLMK algorithms, named /0 0-norm CLMK (/0 | outperform the existing sparsity-aware algorithms in terms | Complex-valued least mean kurtosis (CLMK | ) algorithm and its augmented version (ACLMK) have recently

关键词： Complex-valued least mean kurtosis | Complex-valued signals | Sparse system identification | Augmented statistics

摘要： concentration or sparsity, promoting interchain assembly to | Hydroxybutyl chitosan (HBC), a derivative of | chitosan, exhibits biocompatibility and temperature | -sensitive properties, rendering it utilized in tissue | engineering, and biomedical science. Currently, HBC is

关键词： Hydroxybutyl chitosan | Homogeneous modification | Temperature sensitivity | Self-assembly

摘要： fora control system. Unlike the sparsity promoting | control systems in the past decades, the sparsity of a | control which enhances the controller's sparsity by | This paper studies the sparse optimization of | H2 controllers for linear time-invariant systems

关键词： H2 performance | Optimal control | Sparsity

摘要： decomposition itself is performed using sparsity-promoting | the desired spatial sparsity of the estimated damage | This article proposes a practical and | effective damage identification approach for plate-like | structures. This approach measures the back scattering

关键词： Structural health monitoring | Non-destructive testing | Damage identification | Wave propagation | Sparsity | Inverse problems

摘要： formed by the sparsity-promoting total-variation norm | We study continuous-domain linear inverse | problems that involve a general data-fidelity term and a | regularisation term. We consider a regularisation that is | , pre-composed with a differential operator that

关键词： sparsity | convergence of optimization problems | rate of convergence | splines | total variation norm

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： sparsity-promoting hyperparameters for each state | learning technique based on sparsity* promotion for data* | This paper introduces a new statistical | -driven modeling and control of solar photovoltaic (PV | ) systems. Compared with conventional sparse regression

摘要： improved data-driven method called sparsity-promoting | simplify computation, this paper introduces a sparsity | -promoting* technique-elastic network regularization-to* | Brucellosis, a typical zoonotic disease, has | long been a public health concern in China due to its

摘要：, combining the well-known sparsity-promoting* strategies* | sparsity-aware CLMK algorithms, named /0 0-norm CLMK (/0 | outperform the existing sparsity-aware algorithms in terms | Complex-valued least mean kurtosis (CLMK | ) algorithm and its augmented version (ACLMK) have recently

摘要： concentration or sparsity, promoting* interchain assembly to* | Hydroxybutyl chitosan (HBC), a derivative of | chitosan, exhibits biocompatibility and temperature | -sensitive properties, rendering it utilized in tissue | engineering, and biomedical science. Currently, HBC is

摘要： fora control system. Unlike the sparsity promoting | control systems in the past decades, the sparsity* of a* | control which enhances the controller's sparsity* by* | This paper studies the sparse optimization of | H2 controllers for linear time-invariant systems

摘要： decomposition itself is performed using sparsity-promoting | the desired spatial sparsity* of the estimated damage* | This article proposes a practical and | effective damage identification approach for plate-like | structures. This approach measures the back scattering

摘要： formed by the sparsity-promoting* total-variation norm* | We study continuous-domain linear inverse | problems that involve a general data-fidelity term and a | regularisation term. We consider a regularisation that is | , pre-composed with a differential operator that