Abstract: Existing ac/dc power flow computations necessitate sequential convergence-oriented trial-and-error under various dc control modes, rising computational ...

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 ...

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 ...

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 ...

Abstract: Admittance control is a control scheme to enable physical interactions of a robot, but it easily induces instability when the robot contacts a rigid surface. In this study, a passivity ...

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 ...

Emerging aviation technologies developer Aurora Flight Sciences is progressing with assembly of its prototype X-65 active flow control demonstrator. Aurora on 20 November shared an image of the X-65 ...

Abstract: Control flow is the execution order of individual statements, instructions, or function calls within an imperative program. Malicious operation of control flow (e.g., tampering with normal ...

Abstract: Industrial automation demands increasingly high performance from hydraulic control systems. However, the key nonlinear factors within these systems significantly affect their control ...

Abstract: This study proposes a mixed traffic flow control structure, utilizing multi-lane fleets composed of a small portion of connected and autonomous vehicles (CAVs) in mixed flow as mobile ...