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

作者： Qiang Liu Mahdi Soleymani Hessam Mahdavifar National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Halıcıoğlu Data Science Institute University of California San Diego La Jolla CA USA Department of Electrical and Computer Engineering Northeastern University Boston MA USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

In real-world datasets, leveraging the low-rank and sparsity properties enables developing efficient algorithms across a diverse array of data-related tasks, including compression, compressed sensing, matrix completion, etc. Notably, these two properties often coexist in certain real-world datasets, especially in Boolean datasets and quantized real-valued datasets. To harness the advantages of low-rank and sparsity simultaneously, we adopt a technique inspired by compressed sensing and Boolean matrix completion. Our approach entails compressing a low-rank sparse Boolean matrix by performing inner product operations with a randomly generated Boolean matrix. We then propose a decoding algorithms based on message-passing techniques to recover the original matrix. Our experiments demonstrate superior recovery performance of our proposed algorithms compared to Boolean matrix completion, with equal measurement requirements.

关键词： Image coding Signal processing algorithms Signal processing Acoustics Sensors Decoding Sparse matrices Speech processing Compressed sensing

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Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning

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computers in Biology and Medicine 2025年 186卷 109596-109596页

作者： Patrascu, Adrian Ion, Andreea Vislapuu, Maarja Husebo, Bettina S. Tache, Irina Andra Reithe, Haakon Patrascu, Monica Centre for Interdisciplinary Research in Physical Education and Sport Babes-Bolyai University Cluj-Napoca Romania Complex Systems Laboratory University Politehnica of Bucharest Bucharest Romania Centre for Elderly and Nursing Home Medicine University of Bergen Bergen Norway Department of Nursing VID Specialized University Bergen Norway Neuro-SysMed Center University of Bergen Bergen Norway Department of Automatic Control and Systems Engineering University Politehnica of Bucharest Bucharest Romania Department of Image Fusion and Analytics Siemens SRL Brasov Romania

Heart rate response to physical activity is widely investigated in clinical and training practice, as it provides information on a person's physical state. For emerging digital phenotyping approaches, there is a need for individualized model estimation. In this study, we propose a zero-poles model and a data-driven evolutionary learning method for identification. We also perform a comparison with existing first and second order models and gradient descent identification methods. The proposed model is based on a five-phase description of heart rate dynamics. Data was collected from 30 healthy participants using a treadmill and a thoracic sensor in two protocols (static and dynamic), for increasing and decreasing activity. Results show that the zero-poles model is a good fit for heart rate response to exercise (Pearson's coefficient ρ>.95), while first and second order models are also suitable (ρ>.92). The evolutionary learning method shows excellent results for fast model identification, in comparison with least-squares methods (p © 2024 The Author(s)

关键词： Contrastive Learning

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Payoff-based accumulative effect promotes cooperation in spatial prisoner’s dilemma

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Chinese Physics B 2010年第9期19卷 53-58页

作者：刘永奎李智陈小杰王龙 Center for Complex Systems Department of Automatic Control EngineeringXidian University State Key Laboratory for Turbulence and Complex Systems Center for Systems and ControlCollege of EngineeringPeking University

We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner＇s dilemma on a square lattice. We introduce a decaying factor for the accumulative payoff, which characterizes the extent that the historical payoff is accumulated. It is shown that for fixed values of the temptation to defect, the density of cooperators increases with the value of the decaying factor. This indicates that the more the historical payoff is involved, the more favourable cooperators become. In the critical region where the cooperator density converges to zero, cooperators vanish according to a power-law-like behaviour. The associated exponents agree approximately with the two-dimensional directed percolation and depend weakly on the value of the decaying factor.

关键词： payoff accumulative effect prisoner＇s dilemma cooperation

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Evolutionary prisoner's dilemma game on highly clustered community networks

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Chinese Physics B 2009年第7期18卷 2623-2628页

作者：刘永奎李智陈小杰王龙 Center for Complex Systems Department of Automatic Control Engineering Xidian University State Key Laboratory for Turbulence and Complex Systems Center for Systems and Control College of Engineering Peking University

This paper studies the evolutionary prisoner＇s dilemma game on a highly clustered community network in which the clustering coefficient and the community size can be tuned. It finds that the clustering coefficient in such a degree-homogeneous network inhibits the emergence of cooperation for the entire range of the payoff parameter. Moreover, it finds that the community size can also have a marked influence on the evolution of cooperation, with a larger community size leading to not only a lower cooperation level but also a smaller threshold of the payoff parameter above which cooperators become extinct.

关键词： prisoner＇s dilemma cooperation clustering coefficient community structure

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Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints

arXiv

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arXiv 2025年

作者： Bourkhissi, Lahcen El Necoara, Ion Patrinos, Panagiotis Tran-Dinh, Quoc Automatic Control and Systems Engineering Department Politehnica Bucharest Bucharest060042 Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics The Romanian Academy Bucharest050711 Romania Department of Electrical Engineering K.U. Leuven LeuvenB-3001 Belgium Department of Statistics and Operations Research University of North Carolina at Chapel Hill Chapel HillNC27599 United States

This paper addresses a class of general nonsmooth and nonconvex composite optimization problems subject to nonlinear equality constraints. We assume that a part of the objective function and the functional constraints exhibit local smoothness. To tackle this challenging class of problems, we propose a novel linearized perturbed augmented Lagrangian method. This method incorporates a perturbation in the augmented Lagrangian function by scaling the dual variable with a sub-unitary parameter. Furthermore, we linearize the smooth components of the objective and the constraints within the perturbed Lagrangian function at the current iterate, while preserving the nonsmooth components. This approach, inspired by prox-linear (or Gauss-Newton) methods, results in a convex subproblem that is typically easy to solve. The solution of this subproblem then serves as the next primal iterate, followed by a perturbed ascent step to update the dual variables. Under a newly introduced constraint qualification condition, we establish the boundedness of the dual iterates. We derive convergence guarantees for the primal iterates, proving convergence to an ϵ-first-order optimal solution within O(ϵ−3) evaluations of the problem’s functions and their first derivatives. Moreover, when the problem exhibits for example a semialgebraic property, we derive improved local convergence results. Finally, we validate the theoretical findings and assess the practical performance of our proposed algorithm through numerical comparisons with existing state-of-the-art methods. © 2025, CC BY.

关键词： Lagrange multipliers

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MODEL-REFERENCE control OF REGULAR AND CHAOTIC DYNAMICS IN THE DUFFING-UEDA OSCILLATOR

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IEEE TRANSACTIONS ON CIRCUITS AND systems I-FUNDAMENTAL THEORY AND APPLICATIONS 1994年第7期41卷 477-480页

作者： AGUIRRE, LA BILLINGS, SA Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

This paper investigates a control strategy which uses an identified reference model to produce appropriate chaotic and nonchaotic reference trajectories. Although it is possible to dispense with the reference model in many applications, it is often desirable to obtain a model of the system in order to guarantee that the reference signal is a genuine trajectory of the system to be controlled and to reduce the effects of transients and the control effort. The influence of measurement noise and the relation between the control effort and the dynamics of the uncontrolled system are also discussed. Examples which use the Duffing-Ueda system and a discrete reference model identified from input/output records with no a priori information, are included to illustrate the main points of the paper.

关键词： Chaos Oscillators control systems Extraterrestrial measurements Noise measurement Orbits Nonlinear equations control system synthesis Design methodology Signal design

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Learning systems in intelligent control: An appraisal of fuzzy, neural and genetic algorithm control applications

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IEE PROCEEDINGS-control THEORY AND APPLICATIONS 1996年第4期143卷 367-386页

作者： Linkens, DA Nyongesa, HO Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

In designing controllers for complex dynamical systems there are needs that are not sufficiently addressed by conventional control theory. These relate mainly to the problem of environmental uncertainty and often call for human-like decision making requiring the use of heuristic reasoning and learning experience. Learning is required complexity of a problem or the uncertainty thereof prevents a priori specification of a satisfactory solution. Such solutious are then only possible through accumulating information about the problem and using this information to dynamically generate an acceptable solution. Such systems can be referred to as intelligent control systems. In recent years, 'intelligent control' has come to embrace diverse methodologies combining conventional control theory and emergent techniques based on physiological metaphors, such as neural networks, fuzzy logic, artificial intelligence, genetic algorithms and a wide variety of search and optimisation techniques. The paper reviews aspects of these emergent techniques, in particular, fuzzy logic, neural networks and genetic algorithms that pertain to realisation of intelligent control systems. The fundamental concepts and design techniques of each paradigm are discussed, providing a compact reference for their application.

关键词： fuzzy systems fuzzy-neural control systems neural networks intelligent control genetic learning

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Performance evaluation issues in real-time parallel signal processing and control

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JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 1997年第1期42卷 67-74页

作者： Tokhi, MO Hossain, MA Baxter, MJ Fleming, PJ Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom

This paper presents an investigation into the performance evaluation issues involved in real-time parallel signal processing and control. Issues such as algorithm partitioning, mapping, interprocessor communication, granularity, regularity, compiler efficiency for numerical computation, and code optimization with several signal processing and control algorithms are investigated and presented. Several algorithms are considered and implemented on a number of uniprocessor and multiprocessor, homogeneous and heterogeneous, parallel architectures, A comparative performance evaluation of the architectures is made, demonstrating the critical problems encountered in real-time parallel signal processing and control. (C) 1997 Academic Press.

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Photodegradation of psychotropic medications: Impact on efficacy, safety, and drug properties

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computers in Biology and Medicine 2025年 191卷 110115-110115页

作者： Udrea, Ana-Maria Buiu, Catalin Staicu, Angela Dabu, Aurelia Nicoleta Avram, Speranta Laser Department National Institute for Laser Plasma and Radiation Physics Magurele Ilfov Romania Department of Anatomy Animal Biology Animal Physiology and Biophysics Faculty of Biology University of Bucharest Bucharest Romania Earth Environmental and Life Sciences Section Research Institute of the University of Bucharest University of Bucharest Romania Department of Automatic Control and Systems Engineering Politehnica University of Bucharest Bucharest Romania Department of Neurosurgery The University Emergency Hospital of Bucharest Bucharest Romania

Antipsychotics and antidepressants are essential psychotropic medications used for treating various mental health conditions such as depression, schizophrenia, and bipolar disorder. However, when exposed to light, these compounds are susceptible to photodegradation, potentially changing their biological activity and safety profiles. This study evaluates the pharmacokinetic and pharmacodynamic properties of several photoproducts derived from 13 psychotropic drugs. We used computational methods to predict the biological activity, toxicity, and drug-like properties of the photoproducts. Our results indicate that photoproducts such as amisulpride_TP166, TP246, quetiapine_D4, and quetiapine_PH1 show enhanced biological affinity and ADME-Tox profiles similar to their parent compounds, suggesting possible therapeutic advantages in their interaction with targeted receptors. However, some of the photocompounds exhibit lower predicted binding affinities when interacting with those receptors compared to their parent compounds, indicating a possible loss of function. These findings emphasize the need for further investigation into the effects and safety of drug photoproducts, particularly in the context of long-term pharmacotherapy. © 2025 The Author(s)

关键词： Bioactivity

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Dual-Mode Disturbance Observer-based Predictive control with Harmonic Current Suppression for Dual Three-Phase Permanent Magnet Synchronous Motor Drives

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Liu, Huanli Lin, Weiyang Liu, Zhitai Yu, Xinghu Buccella, Concettina Cecati, Carlo Harbin Institute of Technology Research Institute of Intelligent Control and Systems Harbin150001 China Ningbo Institute of Intelligent Equipment Technology Company Ltd Ningbo315200 China University of L'Aquila DigiPower srl Department of Information Engineering Computer Science and Mathematics L'Aquila67100 Italy

Dual three-phase permanent magnet synchronous motor drives have gained considerable interest in those applications requiring high levels of reliability. However, they often suffer from high-order harmonic currents and mismatch of motor parameters, resulting in degraded performance and reduced efficiency. Therefore, this paper proposes a dual-mode disturbance observer based model predictive current controller. Not only direct current disturbances caused by motor parameters, but also alternating current disturbances caused by high-order harmonic currents are explicitly modeled and estimated to achieve improved model accuracy. In addition, the observer parameter design is given in detail. Furthermore, a generalized predictive current controller with the integration of the proposed observer is developed to provide satisfactory harmonic current suppression capability and parameter robustness simultaneously. Proof of the stability with the proposed controller is given and several experiments and comparisons demonstrate the effectiveness of the proposed method. © 2013 IEEE.

关键词： Permanent magnets

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