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We model, simulate and control the guiding problem for a herd of evaders under the action of repulsive drivers. The problem is formulated in an optimal control framework, where the drivers (controls) aim to guide the evaders (states) to a…

Optimization and Control · Mathematics 2020-05-01 Dongnam Ko , Enrique Zuazua

Fairness is the significant factor to sustain best effort delivery of network services. Now-a-days, real-time multimedia applications have evolved largely over the Internet. Most of multimedia services are unresponsive during network…

Networking and Internet Architecture · Computer Science 2017-12-29 Sanaullah Manzoor , Ghulam Abbas , Masroor Hussain

Adaptive cooperative tracking control with prescribed performance function (PPF) is proposed for high-order nonlinear multi-agent systems. The tracking error originally within a known large set is confined to a smaller predefined set using…

Optimization and Control · Mathematics 2019-04-29 Hashim A Hashim

The optimal power flow (OPF) problem is fundamental in power system operations and planning. Large-scale renewable penetration in distribution networks calls for real-time feedback control, and hence the need for fast and distributed…

Optimization and Control · Mathematics 2016-05-19 Qiuyu Peng , Steven H. Low

Urban traffic congestion is a growing global issue contributing significantly to long commute times and environmental pollution. Traditional traffic signal control systems often fail to adapt to dynamic traffic conditions. Adaptive traffic…

Machine Learning · Computer Science 2026-05-29 Chinmay Mundane , Amith Manoharan , Arun Singh

In the early days of connected vehicles (CVs), data will be collected only from a limited number of CVs (i.e., low CV penetration rate) and not from other vehicles (i.e., non-connected vehicles). Moreover, the data loss rate in the wireless…

Computers and Society · Computer Science 2017-12-19 Mizanur Rahman , Mashrur Chowdhury , Anjan Rayamajhi , Kakan Dey , James Martin

Traffic and channel-data rate combined with the stream oriented methodology can provide a scheme for offering optimized and guaranteed QoS. In this work a stream oriented modeled scheme is proposed based on each node's self-scheduling…

Networking and Internet Architecture · Computer Science 2010-09-10 Constandinos X. Mavromoustakis

The Congestion Control (CC) module plays a critical role in the Transmission Control Protocol (TCP), ensuring the stability and efficiency of network data transmission. The CC approaches that are commonly used these days employ…

Networking and Internet Architecture · Computer Science 2025-09-15 Jinming Xing , Muhammad Shahzad

CHOKe is a simple and stateless active queue management (AQM) scheme. Apart from low operational overhead, a highly attractive property of CHOKe is that it can protect responsive TCP flows from unresponsive UDP flows. Particularly, previous…

Networking and Internet Architecture · Computer Science 2021-05-06 Addisu Eshete , Yuming Jiang

Increasingly stringent throughput and latency requirements in datacenter networks demand fast and accurate congestion control. We observe that the reaction time and accuracy of existing datacenter congestion control schemes are inherently…

Networking and Internet Architecture · Computer Science 2021-12-30 Vamsi Addanki , Oliver Michel , Stefan Schmid

In this paper, efficient turbo packet combining for single carrier (SC) broadband multiple-input--multiple-output (MIMO) hybrid--automatic repeat request (ARQ) transmission with unknown co-channel interference (CCI) is studied. We propose a…

Information Theory · Computer Science 2015-03-13 Tarik Ait-Idir , Houda Chafnaji , Samir Saoudi

With the increasing penetration of inverter-based resources (IBRs) in power grids, system-level coordinated optimization of IBR controllers has become increasingly important for maintaining overall system stability. Unlike most existing…

Systems and Control · Electrical Eng. & Systems 2026-04-06 Haowen Xu , Xin Chen

In order to perceive the behavior presented by the multiphase chemical reactors, the ant colony optimization algorithm was combined with computational fluid dynamics (CFD) data. This intelligent algorithm creates a probabilistic technique…

Machine Learning · Computer Science 2020-01-14 Shahab Shamshirband , Meisam Babanezhad , Amir Mosavi , Narjes Nabipour , Eva Hajnal , Laszlo Nadai , Kwok-Wing Chau

Neglecting consumers' comfort always leads to failure or slow-response to demand response request. In this paper, we propose several comprehensive comfort level models for various appliances in campus-based commercial buildings (CBs). The…

Optimization and Control · Mathematics 2019-03-28 Zheming Liang , Desong Bian , Dawei Su , Ruisheng Diao , Di Shi , Zhiwei Wang , Wencong Su

Active flow control remains a significant challenge due to the high-dimensional, nonlinear nature of fluid dynamics. Quantum machine learning may prove effective in addressing these issues, given that quantum computing possesses superiority…

Fluid Dynamics · Physics 2026-01-27 Hongfu Zhang , Hui Tang

Traffic congestion, primarily driven by intersection queuing, significantly impacts urban living standards, safety, environmental quality, and economic efficiency. While Traffic Signal Control (TSC) systems hold potential for congestion…

Machine Learning · Computer Science 2026-01-14 Qiang Li , Jin Niu , Lina Yu

In this paper, we consider a queue-aware distributive resource control algorithm for two-hop MIMO cooperative systems. We shall illustrate that relay buffering is an effective way to reduce the intrinsic half-duplex penalty in cooperative…

Machine Learning · Computer Science 2015-05-20 Rui Wang , Vincent K. N. Lau , Ying Cui

This paper presents the design and evaluation of SQP, a congestion control algorithm (CCA) for interactive video streaming applications that need to stream high-bitrate compressed video with very low end-to-end frame delay (eg. AR…

Networking and Internet Architecture · Computer Science 2022-07-26 Devdeep Ray , Connor Smith , Teng Wei , David Chu , Srinivasan Seshan

We present a learning-augmented online algorithm for the preemptive FIFO buffer management problem, where packets arrive online to a finite-capacity buffer, must be transmitted in FIFO order, and the algorithm may preemptively discard…

Data Structures and Algorithms · Computer Science 2026-04-30 Wen-Han Hsieh , Ya-Chun Liang

Ant colony optimization (ACO) is a commonly used meta-heuristic to solve complex combinatorial optimization problems like traveling salesman problem (TSP), vehicle routing problem (VRP), etc. However, classical ACO algorithms provide better…

Emerging Technologies · Computer Science 2021-11-05 Mrityunjay Ghosh , Nivedita Dey , Debdeep Mitra , Amlan Chakrabarti