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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Ning Xu Christopher M. Foster Jonathan H. Manton Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Engineering Jiangnan University Wuxi PR China Department of Electrical and Electronic Engineering The University of Melbourne Parkville Australia

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Signal processing makes extensive use of point estimators and accompanying error bounds. These work well up until the likelihood function has two or more high peaks. When it is important for an estimator to remain reliable, it becomes necessary to consider alternatives, such as set estimators. An obvious first choice might be confidence intervals or confidence regions, but there can be difficulties in computing and interpreting them (and sometimes they might still be blind to multiple peaks in the likelihood). Bayesians seize on this to argue for replacing confidence regions with credible regions. Yet Bayesian statistics require a prior, which is not always a natural part of the problem formulation. This paper demonstrates how a reinterpretation of the prior as a weighting function makes an otherwise Bayesian estimator meaningful in the frequentist context. The weighting function interpretation also serves as a reminder that an estimator should always be designed in the context of its intended application; unlike a prior which ostensibly depends on prior knowledge, a weighting function depends on the intended application. This paper uses the time-of-arrival (TOA) problem to illustrate all these points. It also derives a basic theory of region-based estimators distinct from confidence regions.

关键词： Accuracy Buildings Signal processing Acoustics Bayes methods Reliability Speech processing Guidelines

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Interfacial Polarization-Enabled High Anti-Interference for Fiber Pressure Sensors

SSRN

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SSRN 2025年

作者： Liu, Lu Huang, Xin Zhao, Kezheng Jiang, Gaoming Cong, Honglian Ramakrishna, Seeram He, Haijun Engineering Research Center for Knitting Technology Ministry of Education Jiangnan University Wuxi214122 China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China Faculty of Engineering Department of Mechanical Engineering National University of Singapore Singapore117574 Singapore

Fiber pressure sensors possess the ability to be integrated into intelligent fabrics or garments due to their flexible one-dimensional (1D) size, thus playing a crucial role in wearable electronics and robotics. However, due to the proximity effect, the signal accuracy of the reported capacitive sensors is inevitably degraded by interference from the surrounding environment. Therefore, minimizing interference while maintaining excellent sensing performance is a challenge for fiber capacitive sensors. One straightforward method to enhance anti-interference capability involves raising the initial capacitance. Based on it, this study proposed an anti-interference fiber capacitive sensor by enhancing the interfacial polarization effect between the nanofiller and the matrix. The modified CNTs@PDA with a core-shell structure increased the polarization interface as well as the charge storage capacity of the composite dielectric layer by improving the nanofillers’ dispersion, thereby significantly increasing the sensor’ initial capacitance to 1.6 times. This enables the sensor an ideal signal-to-noise ratio (SNR), reflecting negligible capacitive signal fluctuations when electromagnetic interference and proximity to objects are present. Moreover, with the synergy of interfacial polarization effect and excellent elastic recovery, the sensor achieved a linear response with high sensitivity in the ultra-high pressure range of 3500 kPa and long-term stability over 5000 cycles. With the flexible 1D structure, it was easily knitted into sensing textiles, and a 2D pressure recognization fabric and a traditional Chinese medicine (TCM) foot massage sock system were prepared by circuit integration. This demonstrates the potential application of high anti-interference fiber flexible pressure sensors in wearable electronic textiles. © 2025, The Authors. All rights reserved.

关键词： Flexible electronics

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Structural Evolution of Biomass Pellets of Different Densities During High and Low Convection Pyrolysis

SSRN

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SSRN 2025年

作者： Sadeq, Abdullah Schmitt, Marian Wang, Shen Rothberg, Sophia Pietsch-Braune, Swantje Shen, Laihong Heinrich, Stefan Institute of Solids Process Engineering and Particle Technology Hamburg University of Technology Hamburg21073 Germany Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education Southeast University Nanjing210096 China

In this study, wood pellets of different densities were produced from wood shavings of the same batch using a flat die press. Their structure and mechanical properties were investigated and compared to the properties after subsequent pyrolysis with two setups: high convection (HC) pyrolysis in a fluidized bed and low convection (LC) pyrolysis. Various measurement methods were used to investigate the structural properties and the applicability of wood pellets and pellet char. It could be shown that although pellet chars from LC-pyrolysis exhibit a cylindrical shape, their mechanical stability is significantly reduced due to the greatly increased porosity. However, the characteristics in the radial porosity distribution remained as in the untreated pellets. In contrast, HC-pyrolysis in a fluidized bed led to severe structural damage resulting in pellet chars with larger cavities, mainly in their central regions. Consequently, a higher porosity in the center and a lower mechanical stability was determined. Furthermore, it became clear that low-density wood pellets produced with a flat die press equipped with short press channels are especially prone to these structural changes. It is assumed that an open pore network with big cracks and gaps between wood shavings within wood pellets in combination with high heat and mass transfer during pyrolysis can enhance the release of volatiles from the pellet. With micro computed tomography (µCT), it could be shown that cavities in pellet chars are likely formed at wood pellet regions with smaller wood shavings. © 2025, The Authors. All rights reserved.

关键词： Computerized tomography

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Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks and Analysis

arXiv

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arXiv 2025年

作者： Li, Dongdong Dong, Jiuxiang College of Information Science and Engineering Northeastern University Shenyang110819 China State Key Laboratory of Synthetical Automation of Process Industries Northeastern University Shenyang110819 China Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education Northeastern University Shenyang110819 China

In this paper, two model-free optimal output tracking frameworks based on policy iteration for discrete-time multiagent systems are proposed. First, we establish a framework of stabilizing policy iteration that can start from any initial feedback control policy, relaxing the dependence of traditional policy iteration on the initial stabilizing control policy. Then, another efficient and equivalent Q-learning policy iteration framework is developed, which is shown to require only less system data to get the same results as the stabilizing policy iteration. Both frameworks obtain stabilizing control policy by iterating the stabilizing virtual closed-loop system step-by-step to the actual closed-loop system. Multiple explicit schemes for the iteration step-size/coefficient are designed and their stability during the above iterations is analyzed. By using the generated closed-loop stabilizing control policy and two frameworks, the optimal feedback control gain is obtained. The approximate solution of the regulator equations is found by model-free iteration, which leads to the optimal feedforward gain. Finally, the cooperative optimal output tracking is realized by a distributed feedforward-feedback controller. The proposed algorithms are validated by simulation. Copyright © 2025, The Authors. All rights reserved.

关键词： Feedback control

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Data-Driven Distributionally Robust Mixed-Integer control through Lifted control Policy

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IEEE Transactions on Automatic control 2025年

作者： Ma, Xutao Ning, Chao Du, Wenli Shi, Yang Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China University of Victoria Department of Mechanical Engineering VictoriaBCV8W 3P6 Canada

This paper investigates the finite-horizon distributionally robust mixed-integer control (DRMIC) of uncertain linear systems. However, deriving an optimal causal feedback control policy to this DRMIC problem is computationally formidable for most ambiguity sets. To address the computational challenge, we propose a novel distributionally robust lifted control policy (DR-LCP) method to derive a high-quality approximate solution to this DRMIC problem for a rich class of Wasserstein metric-based ambiguity sets, including the Wasserstein ambiguity set and its variants. In theory, we analyze the asymptotic performance and establish a tight non-asymptotic bound of the proposed method. In numerical experiments, the proposed DR-LCP method empirically demonstrates superior performance compared with existing methods in the literature. ©1963-2012 IEEE.

关键词： Mixed-integer linear programming

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Learning-Based Asynchronous Sliding Mode control for Switching Systems with Partly Unknown Probabilities

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IEEE Transactions on Automation Science and engineering 2025年 22卷 15526-15535页

作者： Cheng, Jun Tang, Tianfeng Yan, Huaicheng Park, Ju H. Basin, Michael V. Guangxi Normal University School of Mathematics and Statistics Guilin541006 China East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Shanghai200237 China Yeungnam University Department of Electrical Engineering 280 Daehak-Ro Kyongsan38541 Korea Republic of Ningbo University of Technology Institute for Interdisciplinary Research in Intelligent Science Zhejiang Ningbo315211 China School of Physical and Mathematical Sciences Autonomous University of Nuevo León San Nicolás de los Garza66455 Mexico

This study focuses on the learning-based asynchronous sliding mode control for switching systems, operating under a general switching rule and partially unknown probability information. A novel switching rule is constructed, governed by a joint probability distribution dependent on the current mode and its duration time, thereby overcoming the limitations of traditional Markov/semi-Markov models in terms of the difficulty in obtaining transition probabilities and computational complexity. Departing from traditional geometric distribution assumption, the proposed method follows more general duration distribution. Acknowledging the challenge of obtaining complete probability information in practical scenarios, partially unknown probability information is considered. In addition, a learning-based asynchronous sliding mode control law is developed, aimed at guiding state signals onto preset sliding regions and effectively reducing chattering induced by mode switchings. Finally, the efficacy and superiority of the developed theories are verified through both numerical and practical examples. © 2004-2012 IEEE.

关键词： Normal distribution

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A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids With Coupled Electricity-Hydrogen-Ammonia Under Uncertainties

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IEEE Transactions on Sustainable Energy 2025年

作者： Li, Longyan Ning, Chao Pan, Guangsheng Zhang, Leiqi Gu, Wei Zhao, Liang Du, Wenli Shahidehpour, Mohammad Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China School of Electrical Engineering Southeast University Nanjing210096 China Zhejiang Key Laboratory of Distributed Generations and Microgrid Technology State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology China Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States

This paper proposes a Risk-Averse Just-In-Time (RAJIT) operation scheme for Ammonia-Hydrogen-based Micro-Grids (AHMGs) to boost electricity-hydrogen-ammonia coupling under uncertainties. First, an off-grid AHMG model is developed, featuring a novel multi-mode ammonia synthesis process and a hydrogen-ammonia dual gas turbine with tunable feed-in ratios. Subsequently, a state-behavior mapping strategy linking hydrogen storage levels with the operation modes of ammonia synthesis is established to prevent cost-ineffective shutdowns. The proposed model substantially improves operational flexibility but results in a challenging nonlinear fractional program. Based upon this model, a data-driven RAJIT scheme is developed for the real-time rolling optimization of AHMGs. Unlike conventional one-size-fits-all schemes using one optimization method throughout, the data-driven RAJIT intelligently switches between cost-effective deterministic optimization and risk-averse online-learning distributionally robust optimization depending on actual risk profiles, thus capitalizing on the respective strengths of these two optimization methods. To facilitate the solution of the resulting nonlinear program, we develop an equivalent-reformulation-based solution methodology by leveraging a constraint-tightening technique. Numerical simulations demonstrate that the proposed scheme guarantees safety and yields an overall cost reduction up to 14.6% compared with several state-of-the-art methods. © 2025 IEEE.

关键词： Ammonia

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Dual-engineered strategy of Ni-CeOv nanozyme with enhanced oxidase activity for sensitive colorimetric detection of total antioxidant capacity

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Talanta 2025年 295卷 128307页

作者： Xie, Chang Peng, Jiahe Jiang, Jizhou Wang, Huawei Lyu, Zhixian Li, Jun Xu, Qitong Chen, Ding Cao, Yan Wang, Lipan Mei, Surong Ministry of Environmental Protection School of Public Health Tongji Medical College Huazhong University of Science and Technology #13 Hangkong Road Hubei Wuhan430030 China School of Materials Science and Engineering Key Laboratory of Green Chemical Engineering Process of Ministry of Education Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education Wuhan Institute of Technology Wuhan430205 China Hongshan District Center for Disease Control and Prevention Hubei Wuhan430000 China

Antioxidants are crucial in the fight against reactive oxygen species and thus in maintaining organismal health, so it is particularly important to realize a rapid and quantitative assay for common antioxidants in life. Current nanozyme-based total antioxidant capacity (TAC) assays face limitations: hydrogen peroxide (H2O2) dependence, noble metal costs, and poor antioxidant discrimination. To address these challenges, we engineered a dual-regulated Ni-doped CeO2 (Ni-CeOv) nanozyme through oxygen vacancy engineering and 3d-2p-4f orbital coupling. Density functional theory (DFT) calculations revealed that Ni doping synergistically affects the spontaneous formation of oxygen vacancies and enhances electron transfer through gradient orbital hybridization, resulting in a 2-fold increase in oxidase-like activity (Vmax = 0.10 μM/s) compared to undoped CeO2. Leveraging this H2O2-independent nanozyme, we developed a portable colorimetric platform capable of both ultra-sensitive detection and antioxidant discrimination through distinct inhibition kinetics. Integration with smartphone-based paper sensors enabled on-site TAC quantification in commercial beverages and cosmetics within 5 min, achieving recovery rates of 98.35–104.41 %, at a cost of only $0.2/assay. This work establishes a paradigm for developing low-cost, field-deployable nanozyme sensors for the detection of TAC. © 2025 Elsevier B.V.

关键词： Nanosaws

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Data-Driven Distributionally Robust Mixed-Integer control through Lifted control Policy

arXiv

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arXiv 2025年

作者： Ma, Xutao Ning, Chao Du, Wenli Shi, Yang Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China the Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China the Department of Mechanical Engineering University of Victoria VictoriaBCV8W 3P6 Canada

关键词： Mixed-integer linear programming

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Amino-Functionalized Ce-Mof Synthesized by Micro-Plasma: As a Dual-Mode Colorimetric/Fluorescence Sensor for On-Site Analysis of Doxycycline

SSRN

引用

SSRN 2025年

作者： Xia, Yi Yang, Lin Hu, Miao Zhang, Jun Tan, Chao Yan, Yiting Yang, Congling Xiao, Yaoyu Jiang, Zhi-Chao Huang, Ke Xiong, Xiaoli Jiang, Xue Key Laboratory of Land Resources Evaluation and Monitoring in Southwest Ministry of Education College of Chemistry and Materials Science Sichuan Normal University Chengdu610068 China Key Lab of Process Analysis and Control of Sichuan Universities Yibin University Sichuan Yibin644000 China School of Mechanical Engineering Sichuan University Chengdu610065 China State Key Laboratory of Polymer Materials Engineering Sichuan University Chengdu610065 China

The improper and excessive use of doxycycline (DOX) poses a significant risk to public health through food residues and soil/water contamination, however on-site and accurately distinguish DOX from complex substrates (especially other tetracycline antibiotics which with similar molecular structures) remains a significant challenge for field analysis. In this work, an amino-functionalized cerium-based metal-organic framework (NH2-Ce-MOF) with high peroxidase activity was one-step synthesized by dielectric barrier discharge microplasma. The DOX adsorbs more readily on the (001) crystal faces of NH2-Ce-MOF compared with other tetracyclines, thus facilitating its distinct recognition. Based on the inward filtration effect (IFE) and selective adsorption between NH2-Ce-MOF and TMB, a high effective dual-mode colorimetric/fluorescent DOX sensor was developed and applied for on-site analyzing really pharmaceutical and livestock sewage samples by smartphone assisted visualization, with a concentration range of 0.1-150 μM and a low limit of detection (LOD) of 79 nM with recoveries ranging from 96.56%-107.22%. © 2025, The Authors. All rights reserved.

关键词： Dielectric barrier discharge

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