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Relevant bibliographies by topics / Process control Dynamics Mathematical models

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Academic literature on the topic 'Process control Dynamics Mathematical models'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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Journal articles on the topic "Process control Dynamics Mathematical models"

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Vinayak Kishan Nirmale. "Mathematical Models for Infectious Disease Dynamics and Control Strategies." Communications on Applied Nonlinear Analysis 32, no. 1s (2024): 54–62. http://dx.doi.org/10.52783/cana.v32.2101.

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The study explores mathematical models related to the dynamics of infectious diseases and approaches to manage them. These models are essential resources for comprehending how illnesses spread throughout people and assessing how well control strategies work. The study of infectious disease epidemiology heavily relies on mathematical modeling and analysis. Here, we give a clear overview of the spread of disease, explain how to mathematically model this stochastic process, and show how to utilize this mathematical representation to analyze the emergent dynamics of real-world epidemics. The advan

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N. Sridhar, Lakshmi. "Dynamics of Leukemia Models." International Journal of Clinical Case Reports and Reviews 27, no. 03 (2025): 01–11. https://doi.org/10.31579/2690-4861/860.

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Millions of people are affected by leukemia. It is important to understand the progression dynamics of this disease to be able to minimize the damage that is caused by it. This article provides a mathematical framework to develop strategies to control leukemia. Bifurcation analysis is a powerful mathematical tool used to deal with the nonlinear dynamics of any process. Several factors must be considered, and multiple objectives must be met simultaneously. Bifurcation analysis and multiobjective nonlinear model predictive control (MNLMPC) calculations are performed on three leukemia models. The

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Sridhar*, Lakshmi N. "Dynamics of Leukemia Models." Journal of Biomedical Research & Environmental Sciences 6, no. 6 (2025): 829–39. https://doi.org/10.37871/jbres2135.

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Millions of people are affected by leukemia. It is important to understand the progression dynamics of this disease to be able to minimize the damage that is caused by it. This article provides a mathematical framework to develop strategies to control leukemia. Bifurcation analysis is a powerful mathematical tool used to deal with the nonlinear dynamics of any process. Several factors must be considered, and multiple objectives must be met simultaneously. Bifurcation analysis and Multiobjective Nonlinear Model Predictive Control (MNLMPC) calculations are performed on three leukemia models. The

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Park, Joseph, George Sugihara, and Gerald Pao. "Control of complex systems with generalized embedding and empirical dynamic modeling." PLOS ONE 19, no. 8 (2024): e0305408. http://dx.doi.org/10.1371/journal.pone.0305408.

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Effective control requires knowledge of the process dynamics to guide the system toward desired states. In many control applications this knowledge is expressed mathematically or through data–driven models, however, as complexity grows obtaining a satisfactory mathematical representation is increasingly difficult. Further, many data–driven approaches consist of abstract internal representations that may have no obvious connection to the underlying dynamics and control, or, require extensive model design and training. Here, we remove these constraints by demonstrating model predictive control f

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Prof.Divya, K.Pai. "Mathematical Model of Chemical Reactor Plant and Heat Exchanger Dynamics with Control Design Techniques." Journal of Instrumentation and Innovation Sciences 3, no. 3 (2018): 21–29. https://doi.org/10.5281/zenodo.1480812.

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<em>Mathematical Models are sets of equations that describe a process or System. All engineering programs need Mathematical model before real time implementation of any system, to determine how the process reacts to numerous inputs. Although the bodily gadget is available for experimentation the process usually may be very high priced. Mathematical modeling of a chemical reactor is acquired via the material balance equations and using differential equations, Laplace transforms, Linearizing the Non-Liner equations via Taylor series, obtainingthe transfer function models and finally the design o

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ZAVADSKY, SERGEY V., DMITRI A. OVSYANNIKOV, and SHENG-LUEN CHUNG. "PARAMETRIC OPTIMIZATION METHODS FOR THE TOKAMAK PLASMA CONTROL PROBLEM." International Journal of Modern Physics A 24, no. 05 (2009): 1040–47. http://dx.doi.org/10.1142/s0217751x09044486.

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Mathematical models of the structural parametric optimization of plasma dynamics are discussed. Optimization approach to plasma dynamic is based on the consideration of trajectory ensemble. This ensemble describes transient process in tokamak subject to the initial data and external disturbances. In the framework of this approach the optimization of dynamics of the trajectory ensemble in ITER tokamak is given. The trajectories of this ensemble are perturbed at the initial point set and the set of external disturbances.

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Jannatun, Irana Ira, Shahidul Islam Md., C. Misra J, and Kamrujjaman Md. "Mathematical Modelling of the Dynamics of Tumor Growth and its Optimal Control." International Journal of Ground Sediment & Water 2020, no. 11 (2020): 659–79. https://doi.org/10.5281/zenodo.4275629.

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<strong>Abstract: </strong>In the last few decades, the dynamics of tumor cells and their growths are presented via clinical, experimental, and theoretical approaches, which leads to the development of the new idea of multiple cancer therapies to control and reduce the death rate for earlier detection. In this paper, we discussed the dynamics of tumor cell growth and its treatment process. We analyzed some simple mathematical models and generalized the study to understand the growth of tumor cells. The main proposed model is a system of ordinary differential equations which combines interactio

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N Sridhar, Lakshmi. "Dynamics of Chemoimmunotherapy Models." Journal of Innovative Clinical Trials and Case Reports 1, no. 1 (2025): 1–10. https://doi.org/10.63721/25jctc0106.

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Chemoimmunotherapy is chemotherapy combined with immunotherapy. Chemotherapy uses different drugs to kill or slow the growth of cancer cells; immunotherapy uses treatments to stimulate or restore the ability of the immune system to fight cancer. Both chemotherapy and immunotherapy are highly nonlinear processes that several factors affect. The two treatments together would be very highly nonlinear. It is necessary to understand and control this combined treatment. Bifurcation analysis is a powerful mathematical tool used to deal with the nonlinear dynamics of any process. Several factors must

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Barrios Sánchez, Jorge Manuel, Roberto Baeza Serrato, and Marco Bianchetti. "Design and Development of a Mathematical Model for an Industrial Process, in a System Dynamics Environment." Applied Sciences 12, no. 19 (2022): 9855. http://dx.doi.org/10.3390/app12199855.

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This research proposes a methodology based on control engineering, transforming the simulation model of system dynamics into a mathematical model expressed as a system transfer function. The differential equations of a time domain present in the Forrester diagram are transformed into a frequency domain based on the Laplace transform. The conventional control engineering technique is used to present and reduce the dynamic system in a block diagram as a mechanism for determining the structure of the system. The direct path equation and the feedback equation are determined to obtain mathematical

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Kochuk, Serhii, Dinh Dong Nguyen, Artem Nikitin, and Rafael Trujillo Torres. "Identification of UAV model parameters from flight and computer experiment data." Aerospace technic and technology, no. 6 (November 29, 2021): 12–22. http://dx.doi.org/10.32620/aktt.2021.6.02.

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The object of research in the article is various well-known approaches and methods of structural and parametric identification of dynamic controlled objects - unmanned aerial vehicles (UAVs). The subject of the research is the parameters of linear and nonlinear mathematical models of spatial and isolated movements, describing the dynamics and aerodynamic properties of the UAV and obtained both from the results of flight experiments and using computer object-oriented programs for 3-D UAV models. The goal is to obtain mathematical models of UAV flight dynamics in the form of differential equatio

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Dissertations / Theses on the topic "Process control Dynamics Mathematical models"

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Beh, Christopher Chun Keong. "Vacuum swing adsorption process for oxygen enrichment : a study into the dynamics, modelling and control." Monash University, Dept. of Chemical Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/9533.

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Cuadros, Bohórquez José Fernando. "Estratégia alternativa de otimização em duas camadas de uma unidade de craqueamento catalítico-FCC : implementação de algoritmos genéticos e metodologia híbrida de otimização." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/266651.

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Orientadores: Rubens Maciel Filho, Delba Nisi Cosme Melo<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Química<br>Made available in DSpace on 2018-08-21T11:54:20Z (GMT). No. of bitstreams: 1 CuadrosBohorquez_JoseFernando_D.pdf: 6686167 bytes, checksum: 1899259fbe648f651c06a5f9ca3e2c29 (MD5) Previous issue date: 2012<br>Resumo: Esta pesquisa teve por finalidade o desenvolvimento de uma metodologia de otimização em duas camadas. A otimização preliminar foi baseada na técnica de planejamento de experimentos junto com a metodologia por superfície de resposta co

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Roberts, Gwendolyn Rose 1963. "A comparison of multiple univariate and multivariate geometric moving average control charts." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276779.

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This study utilizes a Monte Carlo simulation to examine the performance of multivariate geometric moving average control chart schemes for controlling the mean of a multivariate normal process. The study compares the performance of the proposed method with a multivariate Shewhart chart, a multiple univariate cumulative sum (CUSUM) control chart, a multivariate CUSUM control chart and a multiple univariate geometric moving average control chart.

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Chang, Min-Yung. "Active vibration control of composite structures." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-09162005-115021/.

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Sinangil, Mehmet Selcuk. "Modeling and control on an industrial polymerization process." Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/10150.

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Du, Plessis Sydney Charles. "Investigation of process parameters and development of a mathematical model for the purposes of control design and implementation for a wastewater treatment process." Thesis, Cape Peninsula University of Technology, 2009. http://hdl.handle.net/20.500.11838/1194.

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Thesis (DTech (Electrical Engineering))--Cape Peninsula University of Technology, 2009<br>The problem for effective and optimal control of wastewater treabnent plants is very important recently because of the increased requirements to the qualitY of the effluent The activated sludge process is a type of wastewater process characterized with complex dynamics and because of this proper control design and implementation strategies are necessary and important for its operation. Since the early seventies, when a major leap forward was made by the widespread introduction of dissolved oxyge

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Tai, Hoi-lun Allen, and 戴凱倫. "Quantitative analysis in monitoring and improvement of industrial systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4394193X.

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Ruiz, Orlando E. "Numerical analysis of the dropwise evaporation process." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/18879.

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Hecker, Rogelio Lorenzo. "Power feedback control in cylindrical grinding process." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/16619.

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Thompson, Christopher David. "An analytical and experimental investigation of respiratory dynamics using P/D control and carbon dioxide feedback." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/43059.

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This thesis addresses the problem of defining the control law for human respiration. Seven different drivers have been identified as possibly having an input to the respiratory controller. These seven represent a combination of feedforward and feedback inputs arising from neural and humoral mechanisms. Using the assumption that carbon dioxide concentrations in the arterial blood have the strongest effect, a control equation with proportional and derivative components based on this driver was evaluated. The methodology for the evaluation was to create a model of the respiratory system

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Books on the topic "Process control Dynamics Mathematical models"

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Volgin, L. N. Optimalʹnoe diskretnoe upravlenie dinamicheskimi sistemami. "Nauka," Glav. red. fiziko-matematicheskoĭ lit-ry, 1986.

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W, Barnett Michael, Stenstrom Michael K, and Andrews John F, eds. Dynamics and control of wastewater systems. 2nd ed. Technomic Publishing Co., Inc., 1998.

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Pearson, Ronald K. Discrete-time dynamic models. Oxford University Press, 1999.

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Huang, Jen-Kuang. Indirect identification of linear stochastic systems with known feedback dynamics. National Aeronautics and Space Administration, 1997.

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Huang, Jen-Kuang. Indirect identification of linear stochastic systems with known feedback dynamics. National Aeronautics and Space Administration, 1997.

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Kecman, V. State-space models of lumped and distributed systems. Springer-Verlag, 1988.

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Denkena, Berend. Process Machine Interactions: Predicition and Manipulation of Interactions between Manufacturing Processes and Machine Tool Structures. Springer Berlin Heidelberg, 2013.

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Beyreuther, Roland. Dynamics of fibre formation and processing: Modelling and application in fibre and textile industry. Springer, 2007.

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Kolpakov, Vasiliy. Economic and mathematical and econometric modeling: Computer workshop. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/24417.

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The textbook presents mathematical research methods and models of economic objects and processes designed for the analysis and prediction of economic factors and develop control solutions as in the deterministic conditions, and in conditions of some uncertainty, and dynamics. Each Chapter of the book consists of a theoretical framework, discussed in detail several examples and tasks for independent work. As workbench simulation uses standard office the program Excel and Mathcad. Tutorial focused on independent performance of students individual tasks on disciplines "Economic-mathematical metho

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Rao, Vadrevu Sree Hari. Dynamic models and control of biological systems. Springer, 2009.

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Book chapters on the topic "Process control Dynamics Mathematical models"

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Pletnev, L. V., N. I. Gamayunov, and V. M. Zamyatin. "Computer Simulation of Evaporation Process into the Vacuum." In Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4799-0_13.

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Arinstein, Arkadii E. "Phenomenological Description for Process of Multiple Disintegration* of Solids Under Intensive Stress Action Such as Compression & Shear." In Mathematical Models of Non-Linear Excitations, Transfer, Dynamics, and Control in Condensed Systems and Other Media. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4799-0_26.

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Rao, Ming, and Haiming Qiu. "Mathematical Models and Transfer Functions." In Process Control Engineering. Routledge, 2022. http://dx.doi.org/10.1201/9780203741931-2.

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Albi, Giacomo, Emiliano Cristiani, Lorenzo Pareschi, and Daniele Peri. "Mathematical Models and Methods for Crowd Dynamics Control." In Crowd Dynamics, Volume 2. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50450-2_8.

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Raia, Gaetano, Gianluca Rigano, David Vincenzoni, and Maurizio Martina. "A Case Study on Formal Equivalence Verification Between a C/C++ Model and Its RTL Design." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71177-0_23.

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AbstractIn the field of communication system products, most datapath Digital Signal Processing algorithms are initially developed at a high-level in MATLAB® or C/C++. Subsequently, design engineers use these models as a reference for implementing Register Transfer Level designs. The conventional approach to verify their equivalence involves extensive Universal Verification Methodology dynamic simulations, which can last for months and require significant verification efforts. However, some elusive errors might still occur because it is infeasible to explore all input combinations with this met

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Roy, Priti Kumar. "Insight of Delay Dynamics." In Mathematical Models for Therapeutic Approaches to Control HIV Disease Transmission. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-852-6_5.

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Ledzewicz, Urszula, and Heinz Schättler. "An Optimal Control Approach to Cancer Chemotherapy with Tumor–Immune System Interactions." In Mathematical Models of Tumor-Immune System Dynamics. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1793-8_7.

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Sun, Jiayue, Shun Xu, Yang Liu, and Huaguang Zhang. "Neural Networks-Based Immune Optimization Regulation Using Adaptive Dynamic Programming." In Adaptive Dynamic Programming. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5929-7_2.

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AbstractThis chapter investigates optimal regulation scheme between tumor and immune cells based on ADP approach. The therapeutic goal is to inhibit the growth of tumor cells to allowable injury degree, and maximize the number of immune cells in the meantime. The reliable controller is derived through the ADP approach to make the number of cells achieve the specific ideal states. Firstly, the main objective is to weaken the negative effect caused by chemotherapy and immunotherapy, which means that minimal dose of chemotherapeutic and immunotherapeutic drugs can be operational in the treatment

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Austin, Daren J. "Mathematical Models in the ICU: Dynamics, Infection Control and Antibiotic Resistance." In Infection Control in the ICU Environment. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0781-9_19.

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Leonov, G. A., and N. V. Kondrat’eva. "Electromechanical and Mathematical Models of Salient-Pole Synchronous Motors." In Advanced Dynamics and Model-Based Control of Structures and Machines. Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0797-3_17.

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Conference papers on the topic "Process control Dynamics Mathematical models"

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Zambrano, Consuelo Del Pilar Vega, Nikolaos A. Diangelakis, and Vassilis M. Charitopoulos. "Closed-Loop Data-Driven Model Predictive Control For A Wet Granulation Process Of Continuous Pharmaceutical Tablet Production." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.192802.

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In 2023, the International Council for Harmonisation (ICH) guideline for the development, implementation, and lifecycle management of pharmaceutical continuous manufacturing (PCM), was implemented in Europe. It promotes quality-by-design (QbD) and quality by control (QbC) strategies as well as the appropriate use of mathematical modelling. This development urges a harmonizing understanding across academia and industry for adoption of interpretable models instead of black-box models for advanced control strategies such as model predictive control (MPC), especially when applied in Good Manufactu

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Liu, Rui, Xi Chen, and Antonios Armaou. "Accelerated Process Modelling for Light-Mediated Controlled Radical Polymerization." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.128107.

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Mathematical modelling and simulation are pivotal components in process systems engineering. Focusing on polymerization process systems, identifying microscopic properties of polymers is highly sought after for advancing kinetic comprehension and facilitating industrial applications. Among various computational methods predicting polymeric properties microscopically, kinetic Monte Carlo (kMC) offers a stochastic framework to characterize individual polymer chains and track dynamic system evolution, providing mechanistic insights into complex polymerization kinetics. In this study, an accuratel

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Li, Yaoyu, Chaosheng Huang, and Jun Li. "Experimental Evaluation of Gaussian Process-Based Residual Models for Vehicle Dynamics Compensation." In 2025 11th International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2025. https://doi.org/10.1109/iccar64901.2025.11073018.

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Belda, Kvetoslav, and Oliver Rovny. "Predictive control of 5 DOF robot arm of autonomous mobile robotic system motion control employing mathematical model of the robot arm dynamics." In 2017 21st International Conference on Process Control (PC). IEEE, 2017. http://dx.doi.org/10.1109/pc.2017.7976237.

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Willkomm, Johannes, Matthias Wahler, and Jürgen Weber. "Process-Adapted Control to Maximize Dynamics of Speed- and Displacement-Variable Pumps." In ASME/BATH 2014 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fpmc2014-7821.

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Within the last years, speed-variable pump drives were investigated in numerous applications. In combination with a variable displacement pump, the volume flow and the drive speed can be decoupled. In this paper the resulting degree of freedom will be used to maximize the dynamics of so called “Hydro-Gear” drive systems. By means of a novel process-adapted control concept, a dynamic model of all drive components will be transformed to a mathematical optimization problem. It will be shown that the optimum use of the two control variables depends on the actual system and process conditions. In c

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Yeh, Hung-Ping, Yuan-Che Chien, and Jia-Ying Tu. "Identification of Hysteresis Dynamics Using Duffing-Like and Bouc-Wen Models." In ASME 2016 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/isps2016-9588.

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Two methods of identifying hysteresis behavior for dynamic systems is introduced and compared in this paper, which are Duffing-like and Bouc-Wen models. Many structural and mechanical systems including the unwanted hysteresis dynamics, such as rubber isolators, magnetoresistive sensors, and magnetorheological dampers, complicate the design, analysis, control, and application work. Hysteresis can be said a general property of dynamic systems, and many mathematical models have been proposed in the material, mechanical, and civil engineering literature, in order to identify the hysteresis dynamic

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Vásquez, Rafael E., Norha L. Posada, Fabio Castrillón, and David Giraldo. "Development of a Laboratory Equipment for Dynamic Systems and Process Control Education." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38924.

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This paper addresses the development of an equipment to teach control engineering fundamentals. The design requirements were determined by users that perform academic, research and industrial training tasks in the area of dynamic systems and process control. Such requirements include: industrial instrumentation; measurement of controlled and manipulated variables, and disturbances; process reconfigurability; different control technologies; several control strategies; appropriate materials for visualization; and compact shape to optimize lab space. The selected process is a tank system that all

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Celik, Ismail B., Asaf Varol, Coskun Bayrak, and Jagannath R. Nanduri. "A One Dimensional Mathematical Model for Urodynamics." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37647.

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Millions of people in the world suffer from urinary incontinence and overactive bladder with the major causes for the symptoms being stress, urge, overflow and functional incontinence. For a more effective treatment of these ailments, a detailed understanding of the urinary flow dynamics is required. This challenging task is not easy to achieve due to the complexity of the problem and the lack of tools to study the underlying mechanisms of the urination process. Theoretical models can help find a better solution for the various disorders of the lower urinary tract, including urinary incontinen

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Wu, Shuihua, Kazem Kazerounian, Zhongxue Gan, and Yunquan Sun. "A Free Form Robotic Grinding System: A Mathematical Model and an Actual System." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29038.

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This paper presents a robotic grinding system for work pieces with free-form geometries. A mathematical model representing the kinematics and dynamics of the system is built in the first part of the paper. Offline programming, calibration and a novel method for robotic error compensation are utilized to accurately generate the robotic grinding path. Models of the robot, the grinder and the grinding process are integrated to obtain the dynamics of the system. In the second part of the paper, an actual system is presented, with experiments done to verify the kinematic accuracy of the system. A c

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Samuel, Robello, Fedor Baldenko, and Dmitry Baldenko. "Mud Motor PDM Dynamics: A Control Model for Automation." In IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208789-ms.

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Abstract Automating drilling operations using modern technology with intelligent control systems is prioritized with respect to drilling process development. The process becomes more complex when a mud motor is used because of the dynamic properties of the control objects, which are interconnected from the surface feed mechanism to the bit. Development of a model that better predicts the dynamic condition when a mud motor is used is discussed. The dynamic characteristics of a positive displacement motor (PDM) are considered as a single system by coupling the hydromechanical processes. This inc

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Reports on the topic "Process control Dynamics Mathematical models"

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Osypova, Nataliia V., and Volodimir I. Tatochenko. Improving the learning environment for future mathematics teachers with the use application of the dynamic mathematics system GeoGebra AR. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4628.

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Immersive technologies and, in particular, augmented reality (AR) are rapidly changing the sphere of education, especially in the field of science, technology, engineering, arts and mathematics. High- quality professional training of a future mathematics teacher who is able to meet the challenges that permeate all sides, the realities of the globalizing information society, presupposes reliance on a highly effective learning environment. The purpose of the research is to transform the traditional educational environment for training future mathematics teachers with the use of the GeoGebra AR d

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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa

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Perdigão, Rui A. P. Beyond Quantum Security with Emerging Pathways in Information Physics and Complexity. Synergistic Manifolds, 2022. http://dx.doi.org/10.46337/220602.

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Information security and associated vulnerabilities have long been a pressing challenge, from the fundamental scientific backstage to the frontline across the most diverse sectors of society. At the tip of the iceberg of this problem, the citizens immediately feel that the reservation of privacy and the degradation of the quality and security of the information and communication on which they depend for the day-to-day activities, already of crucial relevance, are at stake. Naturally though, the challenges do not end there. There is a whole infrastructure for storing information, processing and

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Messina, Francesca, Ioannis Georgiou, Melissa Baustian, et al. Real-time forecasting model development work plan. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47599.

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The objective of the Lowermost Mississippi River Management Program is to move the nation toward more holistic management of the lower reaches of the Mississippi River through the development and use of a science-based decision-making framework. There has been substantial investment in the last decade to develop multidimensional numerical models to evaluate the Lowermost Mississippi River (LMMR) hydrodynamics, sediment transport, and salinity dynamics. The focus of this work plan is to leverage the existing scientific knowledge and models to improve holistic management of the LMMR. Specificall

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Castellano, Mike J., Abraham G. Shaviv, Raphael Linker, and Matt Liebman. Improving nitrogen availability indicators by emphasizing correlations between gross nitrogen mineralization and the quality and quantity of labile soil organic matter fractions. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597926.bard.

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A major goal in Israeli and U.S. agroecosystems is to maximize nitrogen availability to crops while minimizing nitrogen losses to air and water resources. This goal has presented a significant challenge to global agronomists and scientists because crops require large inputs of nitrogen (N) fertilizer to maximize yield, but N fertilizers are easily lost to surrounding ecosystems where they contribute to water pollution and greenhouse gas concentrations. Determination of the optimum N fertilizer input is complex because the amount of N produced from soil organic matter varies with time, space an

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