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Journal articles on the topic 'Adaptive control of the flow of requests'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Isyaku, Babangida, Kamalrulnizam Abu Bakar, Mohd Soperi Mohd Zahid, and Muhammed Nura Yusuf. "Adaptive and Hybrid Idle–Hard Timeout Allocation and Flow Eviction Mechanism Considering Traffic Characteristics." Electronics 9, no. 11 (2020): 1983. http://dx.doi.org/10.3390/electronics9111983.

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Software-defined networking (SDN) enables flexible fine-grained networking policies by allowing the SDN controller to install packet handling rules on distributed switches. The behaviour of SDN depends on the set of forwarding entries installed at the switch flow table. The increasing number of traffics from the proliferation of the Internet of Thing (IoT) devices increase the processing load on the controller and generates an additional number of entries stored in the flow table. However, the switch flow table memory (TCAM) cannot accommodate many entries. Packets from multimedia flows are us

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Volochiy, B., A. Kushyk, Yu Salnyk, V. Onyshchenko, and P. Каzаn. "Method of increasing the efficiency of the switch node of the information communication network for special purpose in the conditions of combat use." Military Technical Collection, no. 26 (June 23, 2022): 3–12. http://dx.doi.org/10.33577/2312-4458.26.2022.3-12.

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The peculiarity of the special purpose communication information network is that its functioning is influenced by the tactical situation. In particular, it determines the intensity of the flow of packets with information about the enemy's moving objects from reconnaissance and signaling complexes to the switching node, and from it to the control point and means of destruction, depending on the probable nature of enemy action. In combat applications, the information network operates simultaneously with fast and slow packet flows. At the same time, the packet delay in the switching node sh

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Taskeen, Fathima, and Mary Vennila S. "An Improved Mechanism for SDN Flow Space to Control Oriented Authentication NAA Network." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2019): 350–54. https://doi.org/10.35940/ijeat.B3014.129219.

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The Open Daylight platform with its power by working with IEEE 802.1X port level authentication for wired and wireless networks has been very supportive because of the massive deployments at mean charge for main design considerations. Within the current marketplace, 802.1X has flourished the ground works for wireless, wire stability, LAN stability and authentication methods. EAP (Extensible Authentication Protocol) supports long time protection of the supplicant and the authentication software till the end condition of the RADIUS (Remote Authentication Dial-In User Service) server is met. This

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Alvi, Ahmad Naseem, Mumtaz Ali, Mohamed Saad Saleh, et al. "TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities." Applied Sciences 14, no. 3 (2024): 1319. http://dx.doi.org/10.3390/app14031319.

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The popularity of fog-enabled smart cities is increasing due to the advantages provided by modern communication and information technologies, which contribute to an improved quality of life. Wireless networks make them more vulnerable when the network is under malicious attacks that cause a collision in the medium. Furthermore, diverse applications of smart cities demand a contention-free medium access control (MAC) protocol to meet adaptive data requirements. In this work, a time-slot-based medium access control protocol to meet adaptive data requirements (TMPAD) for IoT nodes in fog-enabled

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Carpanzano, Emanuele, and Daniel Knüttel. "Advances in Artificial Intelligence Methods Applications in Industrial Control Systems: Towards Cognitive Self-Optimizing Manufacturing Systems." Applied Sciences 12, no. 21 (2022): 10962. http://dx.doi.org/10.3390/app122110962.

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Industrial control systems play a central role in today’s manufacturing systems. Ongoing trends towards more flexibility and sustainability, while maintaining and improving production capacities and productivity, increase the complexity of production systems drastically. To cope with these challenges, advanced control algorithms and further developments are required. In recent years, developments in Artificial Intelligence (AI)-based methods have gained significantly attention and relevance in research and the industry for future industrial control systems. AI-based approaches are increasingly

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Barone, Giuseppe, Giovanni Brusco, Daniele Menniti, et al. "A Renewable Energy Community of DC Nanogrids for Providing Balancing Services." Energies 14, no. 21 (2021): 7261. http://dx.doi.org/10.3390/en14217261.

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The massive expansion of Distributed Energy Resources and schedulable loads have forced a variation of generation, transmission, and final usage of electricity towards the paradigm of Smart Communities microgrids and of Renewable Energy Communities. In the paper, the use of multiple DC microgrids for residential applications, i.e., the nanogrids, in order to compose and create a renewable energy community, is hypothesized. The DC Bus Signaling distributed control strategy for the power management of each individual nanogrid is applied to satisfy the power flow requests sent from an aggregator.

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Lin, Shih-Yang, Miao-Hui Yang, and Shuo Jia. "An Adaptive Hybrid Automatic Repeat Request (A-HARQ) Scheme Based on Reinforcement Learning." Electronics 12, no. 19 (2023): 4127. http://dx.doi.org/10.3390/electronics12194127.

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V2X communication is susceptible to attenuation and fading caused by external interference. This interference often leads to bit error and poor quality and stability of the wireless link, and it can easily disrupt packet transmission. In order to enhance communication reliability, the 3rd Generation Partnership Project (3GPP) introduced the Hybrid Automatic Repeat Request (HARQ) technology for both 4G and 5G systems. Nevertheless, it can be improved for poor communication conditions (e.g., heavy traffic flow, long-distance transmission), especially in advanced or cooperative driving scenarios.

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Galvão, Gonçalo, Manuel Augusto Vieira, Manuela Vieira, Paula Louro, and Mário Véstias. "Enhancing Urban Traffic Management with Visible Light Communication and Reinforcement Learning." EPJ Web of Conferences 305 (2024): 00030. http://dx.doi.org/10.1051/epjconf/202430500030.

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This paper introduces Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. A multi-intersection traffic control system is proposed, integrating VLC localization services with learning-based traffic signal control. VLC facilitates communication between connected vehicles and infrastructure using headlights, streetlights, and traffic signals to transmit information. By leveraging vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) interactions, joint transmission and data collection are achieved via mobile optic

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Vieira, Manuel Augusto, Gonçalo Galvão, Manuela Vieira, Paula Louro, Mário Vestias, and Pedro Vieira. "Enhancing Urban Intersection Efficiency: Visible Light Communication and Learning-Based Control for Traffic Signal Optimization and Vehicle Management." Symmetry 16, no. 2 (2024): 240. http://dx.doi.org/10.3390/sym16020240.

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This paper introduces a novel approach, Visible Light Communication (VLC), to optimize urban intersections by integrating VLC localization services with learning-based traffic signal control. The system enhances communication between connected vehicles and infrastructure using headlights, streetlights, and traffic signals to transmit information. Through Vehicle-to-Vehicle (V2V) and Infrastructure-to-Vehicle (I2V) interactions, joint data transmission and collection occur via mobile optical receivers. The goal is to reduce waiting times for pedestrians and vehicles, enhancing overall traffic s

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Snoussi, Jamila, Seifeddine Ben Elghali, Mohamed Benbouzid, and Mohamed Mimouni. "Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles." Energies 11, no. 8 (2018): 2118. http://dx.doi.org/10.3390/en11082118.

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The global need to solve pollution problems has conducted automotive engineers to promote the development and the use of electric vehicle technologies. This paper focuses on the fuel cell hybrid electric vehicle which uses a proton exchange membrane fuel cell as a main source associated to hybrid storage device: lithium ion battery and ultracapacitors. A common interest in such technology is to spread out the energy flow between its different sources in order to satisfy the power demand for any requested mission. However, the challenging task stills the optimization of this split to reduce hyd

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Vieira, Manuela, Gonçalo Galvão, Manuel A. Vieira, Mário Véstias, Pedro Vieira, and Paula Louro. "Integration of Visible Light Communication, Artificial Intelligence, and Rerouting Strategies for Enhanced Urban Traffic Management." Vehicles 6, no. 4 (2024): 2106–32. https://doi.org/10.3390/vehicles6040103.

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This study combines Visible Light Communication (VLC) and Artificial Intelligence (AI) to enhance traffic signal control, reduce congestion, and improve safety, through real-time monitoring and dynamic traffic management. Leveraging VLC technology, the system uses existing road infrastructure to transmit live data on vehicle and pedestrian positions, speeds, and queues. AI agents, employing Deep Reinforcement Learning (DRL), process this data to manage traffic flows dynamically, applying anti-bottleneck and rerouting techniques to balance pedestrian and vehicle waiting times. A centralized glo

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Powroźnik, Piotr, Robert Szulim, Wiesław Miczulski, and Krzysztof Piotrowski. "Household Energy Management." Applied Sciences 11, no. 4 (2021): 1626. http://dx.doi.org/10.3390/app11041626.

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Ensuring flexibility and security in power systems requires the use of appropriate management measures on the demand side. The article presents the results of work related to energy management in households in which renewable energy sources (RES) can be installed. The main part of the article is about the developed elastic energy management algorithm (EEM), consisting of two algorithms, EEM1 and EEM2. The EEM1 algorithm is activated in time periods with a higher energy price. Its purpose is to reduce the power consumed by the appliances to the level defined by the consumer. In contrast, the EE

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13

Wlezien, R. "Micro adaptive flow control." Aeronautical Journal 104, no. 1040 (2000): 453–58. http://dx.doi.org/10.1017/s0001924000091946.

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Abstract The Defense Advanced Research Projects Agency (DARPA) Micro Adaptive Flow Control programme is described using a series of illustrative examples. Adaptive flow control is defined to be the active modification of aerodynamic flows using small, time-dependent actuators in judiciously chosen locations. A diverse set of large-scale applications is described, in which micro adaptive flow control has a substantial overall system benefit.

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14

Gao, Liu Yi, Xiao Jian Hu, Wei Wang, and Xue Dong Hua. "A Study of an Adaptive Two-Phrase Signal Control Strategy for Resolving Conflicting Transit Signal Priority Calls." Applied Mechanics and Materials 505-506 (January 2014): 1028–36. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.1028.

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This paper presents the development and evaluation of an adaptive two-phrase signal control strategy to resolve conflicting Transit Signal Priority (TSP) requests. The strategy was designed to provide adaptive transit signal priority control, using vehicle systems and existing traffic control devices. In this paper, the strategys efficiency was tested using a micro-simulation software VISSIM and build one arterial road contains five intersections and serves more than twenty conflicting bus lines. The VAP module was used to control TSP of conflicting requests. In the simulation, actual data was

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15

Hoogendoorn, Serge P. "Pedestrian Flow Modeling by Adaptive Control." Transportation Research Record: Journal of the Transportation Research Board 1878, no. 1 (2004): 95–103. http://dx.doi.org/10.3141/1878-12.

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16

Stanewsky, E. "Adaptive wing and flow control technology." Progress in Aerospace Sciences 37, no. 7 (2001): 583–667. http://dx.doi.org/10.1016/s0376-0421(01)00017-3.

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17

Panesar, Kiran S., and Richard M. Fujimoto. "Adaptive flow control in time warp." ACM SIGSIM Simulation Digest 27, no. 1 (1997): 108–15. http://dx.doi.org/10.1145/268823.268908.

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18

Rząsa, Mariusz. "Adaptive Air Stream Control Algorithm." Pomiary Automatyka Robotyka 27, no. 2 (2023): 99–102. http://dx.doi.org/10.14313/par_248/99.

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The paper presents an adaptive air stream control algorithm for use in a bioreactor for waste composting. The system controls the streams of air supplied to the six ducts of the bireactor. Bioreactors of this type are characterized by the fact that the porosity of the charge is very heterogeneous throughout the volume. In addition, during the process, the charge is compacted and blockages for the gas flow often occur. The control algorithm should take into account the formation of blockages and attempt to clear them. In situations where unblocking is impossible, it should ensure proper distrib

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19

Stotsky, Alexander. "Adaptive/Variable Structure Control of Traffic Flow." IFAC Proceedings Volumes 29, no. 1 (1996): 7632–37. http://dx.doi.org/10.1016/s1474-6670(17)58918-1.

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20

Wang, Yuqin, Haodong Zhang, Zhibo Han, and Xiaoqiang Ni. "Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control." Processes 9, no. 9 (2021): 1538. http://dx.doi.org/10.3390/pr9091538.

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In this paper, in order to improve the control characteristics of the centrifugal pump flow control system, a mathematical model of the centrifugal pump flow control system was established based on an analysis of the basic structures, such as the frequency converter, motor, and centrifugal pump. Based on the adaptive control theory, the recursive least squares algorithm with a forgetting factor was used to estimate the real-time parameters of the centrifugal pump control system, and the self-tuning PID control method was used to optimize the mathematical model of the centrifugal pump flow cont

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21

Zhan, Jing, Yongzhen Li, Yifan Liu, Hongchao Li, Shuai Zhang, and Li Lin. "NSGA-II-Based Granularity-Adaptive Control-Flow Attestation." Security and Communication Networks 2021 (November 18, 2021): 1–16. http://dx.doi.org/10.1155/2021/2914192.

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Since the widespread adoption of edge computing and IoT technology, Control-Flow Hijacking (CFH) attacks targeting programs in resource-constrained embedded devices have become prevalent. While the Coarse-Grained Control-Flow integrity Attestation (CGCFA) lacks accuracy for the CFH attacks detection, the Fine-Grained Control-Flow integrity Attestation (FGCFA) detect the attacks more accurately but with high overheads, which can be a big burden (e.g., to industrial control system with strict performance requirements). In this paper, we propose a NSGA-II (Nondominated Sorting Genetic Algorithm-I

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22

Chai, Hua Wei, Jin Yu Zhou, Yi Xin Wang, Heng Tan, and Zhi Gang Li. "Control Research of DC Servo System Based on Friction Compensation." Applied Mechanics and Materials 170-173 (May 2012): 3720–23. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.3720.

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In order to realize high precision position tracking control in some dc servo system, aimed at all kinds of uncertainties, a disturbance torque compensation control tactics is put forward. In other words, friction model is approximated online by fuzzy system and identification result is taken as compensation item of control algorithm. Besides, adaptive fuzzy compensation PID algorithm is utilized. Simulation results show that compared with conventinal PID control, this control tactics can enhance dynamic performances and steady-state precision, satisfying performance requests.

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23

WANG, XIAO FAN, M. DI BERNARDO, D. P. STOTEN, M. H. LOWENBERG, and G. CHARLES. "BIFURCATION TAILORING VIA NEWTON FLOW-AIDED ADAPTIVE CONTROL." International Journal of Bifurcation and Chaos 13, no. 03 (2003): 677–84. http://dx.doi.org/10.1142/s021812740300690x.

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The aim of bifurcation tailoring is to design an appropriate control law such that the controlled system has a desired bifurcation diagram. After describing two open-loop bifurcation tailoring techniques, this paper proposes a new open-loop plus close-loop bifurcation tailoring method based on a combination of the Newton-flow algorithm and the minimal control synthesis (MCS) adaptive control strategy. This method is applied to the Duffing system as an illustrative example.

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24

Nybrant, T. G. "Modelling and adaptive control of concurrent-flow driers." Computers and Electronics in Agriculture 3, no. 3 (1989): 243–53. http://dx.doi.org/10.1016/0168-1699(89)90005-7.

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25

Borovska, Plamenka, and Dragi Kimovski. "Adaptive flow control in high-performance interconnection networks." Journal of Supercomputing 68, no. 1 (2013): 315–38. http://dx.doi.org/10.1007/s11227-013-1041-5.

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26

Choi, Byunghun, Youkyung Hong, Byunghyun Lee, Minhee Kim, H. Jin Kim, and Chongam Kim. "Adaptive Flow Separation Control Over an Asymmetric Airfoil." International Journal of Aeronautical and Space Sciences 19, no. 2 (2018): 305–15. http://dx.doi.org/10.1007/s42405-018-0029-z.

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27

Chai, Hua Wei, Jin Yu Zhou, Wei Ping Zhang, and Zhi Gang Li. "PMSM Servo System Control Based on Disturbance Observer." Applied Mechanics and Materials 44-47 (December 2010): 1090–94. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.1090.

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In order to realize high speed control of some ac servo system, aimed at all kinds of uncertain factors such as greatly changing moment and torque, and strong impact torque. Therefore, for gaining good speed tracking characteristics, adaptive disturbance observer is adopted to observe load torque disturbance and speed variation. Stability of closed loop system is guaranteed by design of control tractics to satisfy track control requests of rocket launcher servo system. Simulation results indicate that this method can ideally observe disturbance and reduce output of controller, thus control per

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Iranpour, Eiman, and Saeed Sharifian. "An FPGA implemented brain emotional learning intelligent admission controller for SaaS cloud servers." Transactions of the Institute of Measurement and Control 39, no. 10 (2016): 1522–36. http://dx.doi.org/10.1177/0142331216644042.

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Dynamic resource allocation in a cloud environment has become possible using virtualization technologies in cloud computing. One of the applications of these technologies is offering various applications by Software-as-a-Service (SaaS) infrastructures. Unfortunately, due to request rate increments in cloud rush hours, the related server cannot serve all the requests according to the service level agreement. Hence, the cloud provider’s quality of service will decrease. Thus a mechanism is required to control the admission rate of requests for cloud servers. In this study, an intelligent control

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Yao, De Chen, Li Min Jia, Yong Qin, and Yun Yun Zhao. "Adaptive Control of Rubbing Rotor under Flow Induced Force." Applied Mechanics and Materials 365-366 (August 2013): 800–804. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.800.

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Along with the increasing of structural parameters of a rotary machine, the flow induced excitation on the rotor will significantly increase. By taking two-control-volume model for sealing force, the nonlinear dynamic equation of rubbing rotor foundation was derived. Then, the problem of controlling the chaotic response of the nonlinear rubbing rotor was studied by the adaptive control theory. Numerical simulations on the rotor system were performed with a multi-parameter adaptive algorithm. The numerical results show that the parametric adaptive control method is effective to suppress a chaot

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Tao, Xiong. "Process Control Strategy for Oilfield Piezoelectric Control Layered Production Allocation." Applied Mechanics and Materials 380-384 (August 2013): 403–7. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.403.

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Focusing on the fluid flow control in oilfield piezoelectric control layered production allocation, an identification-free adaptive control strategy with expert amendment is proposed to solve the problem that it is hard to be controlled due to large time delay, nonlinearity, time variation and difficulty in establishing mathematical model of regulation process. In this control strategy, according to the past and current process information, the process output and trend can be estimated based on expert rules to amend the output of the identification-free adaptive control. The simulation result

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Yang, Xinhao, and Ze Li. "Congestion Control Based on Multiple Model Adaptive Control." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/714320.

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The congestion controller based on the multiple model adaptive control is designed for the network congestion in TCP/AQM network. As the conventional congestion control is sensitive to the variable network condition, the adaptive control method is adopted in our congestion control. The multiple model adaptive control is introduced in this paper based on the weight calculation instead of the parameter estimation in past adaptive control. The model set is composed by the dynamic model based on the fluid flow. And three “local” congestion controllers are nonlinear output feedback controller based

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32

Tufano, Francesco, Sushant Waman Bahadure, Manuela Tufo, Luigi Novella, Giovanni Fiengo, and Stefania Santini. "An Optimization Framework for Information Management in Adaptive Automotive Human–Machine Interfaces." Applied Sciences 13, no. 19 (2023): 10687. http://dx.doi.org/10.3390/app131910687.

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In recent years, advancements in Intelligent and Connected Vehicles (ICVs) have led to a significant increase in the amount of information to the driver through Human–Machine Interfaces (HMIs). To prevent driver cognitive overload, the development of Adaptive HMIs (A-HMIs) has emerged. Indeed, A-HMIs regulate information flows by dynamically adapting the presentation to suit the contextual driving conditions. This paper presents a novel methodology, based on multi-objective optimization, that offers a more generalized design approach for adaptive strategies in A-HMIs. The proposed methodology

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Zhong, Xiang-yu, Wei Huang, Meng-fei Cao, Yu-shan Meng, Fei-lin Han, and Li Yan. "Adaptive control mechanism of shock wave/boundary layer interaction induced by the secondary recirculation jet with outlet backpressure." AIP Advances 13, no. 4 (2023): 045206. http://dx.doi.org/10.1063/5.0147657.

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The increased and unstable flow field backpressure will cause problems such as the non-starting of the inlet tract, and the widespread shock wave/boundary layer interaction (SWBLI) phenomena in the supersonic flow field exacerbates these problems. Hence, a powerful flow control system is required. In this paper, backpressure is introduced at the flow field outlet, and the effect of different backpressure ratios on the flow field is explored. An adaptive control scheme is also developed by using the optimized secondary flow recirculation configuration. The three-dimensional implicit Reynolds Av

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Vasilakos, Athanasios V., Christos A. Moschonas, and Constantinos T. Paximadis. "Adaptive window flow control and learning algorithms for adaptive routing in data networks." ACM SIGMETRICS Performance Evaluation Review 18, no. 1 (1990): 265–66. http://dx.doi.org/10.1145/98460.98780.

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Reese, Brandon M., Emmanuel G. Collins, Erik Fernandez, and Farrukh S. Alvi. "Nonlinear Adaptive Approach to Microjet-Based Flow Separation Control." AIAA Journal 54, no. 10 (2016): 3002–14. http://dx.doi.org/10.2514/1.j054307.

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Yoon, M. K., and J. Q. Sun. "Adaptive Control of Flow Progression in Resin Transfer Molding." Journal of Materials Processing and Manufacturing Science 10, no. 3 (2002): 171–82. http://dx.doi.org/10.1177/1062065602010003153.

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LAI, Jiing-Yih, and Yuan-Rong CHEN. "Adaptive Flow Rate Control of a Hydraulic Proportional Valve." JSME international journal. Ser. 3, Vibration, control engineering, engineering for industry 35, no. 4 (1992): 582–90. http://dx.doi.org/10.1299/jsmec1988.35.582.

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Henning, L., R. Becker, G. Feuerbach, et al. "Extensions of adaptive slope-seeking for active flow control." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 222, no. 5 (2008): 309–22. http://dx.doi.org/10.1243/09596518jsce490.

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Cotton, M., and L. G. Mason. "Adaptive isarithmic flow control in fast packet switching networks." IEEE Transactions on Communications 43, no. 2/3/4 (1995): 1580–90. http://dx.doi.org/10.1109/26.380207.

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Rawlins, Marisha, and Ann Gordon-Ross. "Adaptive loop caching using lightweight runtime control flow analysis." ACM Transactions on Embedded Computing Systems 12, no. 1s (2013): 1–23. http://dx.doi.org/10.1145/2435227.2435251.

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Czeczot, Jacek. "BALANCE-BASED ADAPTIVE CONTROL OF THE ELECTRIC FLOW HEATER." IFAC Proceedings Volumes 38, no. 1 (2005): 147–52. http://dx.doi.org/10.3182/20050703-6-cz-1902.00424.

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Koroleva, Olga I., Miroslav Krstić, and Geert W. Schmid-Schönbein. "Decentralized and adaptive control of nonlinear fluid flow networks." International Journal of Control 79, no. 12 (2006): 1495–504. http://dx.doi.org/10.1080/00207170600849402.

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Siettos, C. I., A. G. Boudouvis, and G. V. Bafas. "Fuzzy Adaptive Control of a Plug Flow Tubular Reactor." IFAC Proceedings Volumes 31, no. 11 (1998): 685–89. http://dx.doi.org/10.1016/s1474-6670(17)45005-1.

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Gattulli, Vincenzo, and Roger Ghanem. "Adaptive control of flow-induced oscillations including vortex effects." International Journal of Non-Linear Mechanics 34, no. 5 (1999): 853–68. http://dx.doi.org/10.1016/s0020-7462(98)00058-4.

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Mutairi, Abdulmohsen, and Uthman Baroudi. "An Adaptive CQI-Based Algorithm for HSDPA Flow Control." Arabian Journal for Science and Engineering 38, no. 9 (2012): 2357–65. http://dx.doi.org/10.1007/s13369-012-0512-y.

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Spiliopoulou, Anastasia, Diamantis Manolis, Foteini Vandorou, and Markos Papageorgiou. "Adaptive Cruise Control Operation for Improved Motorway Traffic Flow." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 22 (2018): 24–35. http://dx.doi.org/10.1177/0361198118796020.

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This study presents an ACC (adaptive cruise control)–based traffic control strategy which aims to adapt in real time the driving behavior of ACC-equipped vehicles to the prevailing traffic conditions so that motorway traffic flow efficiency is improved. The potential benefits obtained by applying the proposed control concept are demonstrated for different ACC penetration rates by use of validated microscopic simulation applied to a real motorway stretch where recurrent traffic congestion is created under the current manual driving conditions because of an on-ramp bottleneck. The simulation res

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Bor-Sen Chen, Yu-Shuang Yang, Bore-Kuen Lee, and Tsern-Huei Lee. "Fuzzy adaptive predictive flow control of atm network traffic." IEEE Transactions on Fuzzy Systems 11, no. 4 (2003): 568–81. http://dx.doi.org/10.1109/tfuzz.2003.814860.

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Hao, Wenxing, Qinwei Ding, and Chun Li. "Optimal performance of adaptive flap on flow separation control." Computers & Fluids 179 (January 2019): 437–48. http://dx.doi.org/10.1016/j.compfluid.2018.11.010.

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LUI, HO CHUNG. "ADAPTIVE TRUTH VALUED FLOW INFERENCE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 02, no. 03 (1994): 279–86. http://dx.doi.org/10.1142/s0218488594000225.

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Abstract:

Based on the Truth Value Flow Inference(TVFI) theory presented by P.Z.Wang, a fuzzy rule P → Q can be denoted as a fuzzy point in the X × Y domain, when a set of rules are given, the fuzzy points are joined together to become a "fuzzy mountain". Such mountain represents the causal relationship between X and Y. This paper describes an adaptation procedure so that the fuzzy mountain can be refined from past examples. Experimental result shows that after learning, the fuzzy relation approaches to the true but unknown causal mapping between X and Y.

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Goryunov, Aleksey G., Konstantin A. Ivanov, and Igor S. Nadezhdin. "Capacity Pump Control by Dual-Channel Adaptive System with Throttle and Frequency Control." Advanced Materials Research 1084 (January 2015): 630–35. http://dx.doi.org/10.4028/www.scientific.net/amr.1084.630.

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The article focuses on flow stabilization system of the organic phase. Emphasis is placed on the control system design which provides an effective damping of a flow rate of the organic phase extraction plant. In this paper the development of the control system using modern simulation tools and the results of the tests are presented.

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