MDM

Flow Control Group Makes Top Leadership Changes

Flow control and industrial automation products distributor Flow Control Group (FCG) appointed David Patterson as Executive Chair and Raymond Aronoff as President and CEO. David Patterson Founder and ...
MDM

MCE Acquires 3 ParkerStores from Motion & Flow Control Products

Fluid power, automation and industrial supplies distributor Motion & Control Enterprises (MCE) has acquired three ParkerStore locations from fellow distributor Motion & Flow Control Products. Terms of ...
IEEE

Automated Driving Control in Mixed Traffic Flow Using V2V Communication

Abstract: Automated vehicles (AVs) are expected to transform the future of intelligent transportation systems. To enhance the feasibility of integrating AVs with human-driven vehicles (HDVs), AV ...
IEEE

Robust 3-D Path Following Control Framework for Magnetic Helical Millirobots Subject to Fluid Flow and Input Saturation

Abstract: Precise trajectory control is imperative to ensure the safety and efficacy of in vivo therapy employing the magnetic helical millirobots. However, achieving accurate 3-D path following of ...
IEEE

Semantic Flow Control for Task-Oriented Position Tracking

Abstract: Scalable position tracking systems are essential for ensuring efficient operation in dynamic and resource-constrained environments, particularly in applications requiring real-time accuracy ...
IEEE

Optimizing Mixed Traffic Flow: Longitudinal Control of Connected and Automated Vehicles to Mitigate Traffic Oscillations

Abstract: This paper presents a traffic oscillation mitigation-oriented optimal control framework for connected and automated vehicles (CAVs) in a mixed traffic environment where the behavior of human ...
IEEE

The Intelligent Traffic Flow Control System Based on 6G and Optimized Genetic Algorithm

Abstract: With the acceleration of urbanization, the problem of urban traffic congestion has become increasingly serious. This study aims to develop an intelligent traffic flow control system based on ...
IEEE

Evaluating the ANN Model Performance for PID Controller Tuning in Flow Process Control: A Comparative Study

Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...
IEEE

Improving Floating Offshore Wind Farm Flow Control With Scalable Model-Based Deep Reinforcement Learning

Abstract: This paper proposes a model-based deep reinforcement learning (DRL) framework to maximize the total power output and minimize the fatigue load of a floating offshore wind farm subject to ...
IEEE

Mathematical Modeling and Simulation of Traffic Flow Control in Urban Environments Using Fuzzy Deep Neural Network With Optimization Algorithm

Abstract: With the enlarging number of transports on the road and fast growth, traffic flow is a significant current worry that obstructs the financial system’s evolution and affects the quality of ...
IEEE

A Control Flow Graph Optimization Method for Enhancing Fuzz Testing

Abstract: The American Fuzzy Lop (AFL) is a tool that automatically generates random data to expose vulnerabilities in software programs. However, it has some drawbacks, such as the lack of visibility ...