Results 71 to 80 of about 2,694,631 (118)

Measurement and Control of Solenoid Stroke using Its Electrical Characteristics [PDF]

open access: yesarXiv
In this paper, we describe the algorithm to measure the stroke of solenoid using the electric characteristics of the solenoid, without mechanical attachments. We also describe the experimental results of controlling the solenoid stroke at intermediate position.
arxiv  

A Discrete-Time Least-Squares Adaptive State Tracking Control Scheme with A Mobile-Robot System Study

open access: yes
This paper develops an adaptive state tracking control scheme for discrete-time systems, using the least-squares algorithm, as the new solution to the long-standing discrete-time adaptive state tracking control problem to which the Lyapunov method (well ...
Tao, Gang, Zhao, Qianhong
core  

IEEEICM25: "A High-Performance Disturbance Observer" [PDF]

open access: yesarXiv
This paper proposes a novel Disturbance Observer, termed the High-Performance Disturbance Observer, which achieves more accurate disturbance estimation compared to the conventional disturbance observer, thereby delivering significant improvements in robustness and performance for motion control systems.
arxiv  

Network Algebraization and Port Relationship for Power-Electronic-Dominated Power Systems

open access: yes, 2023
Different from the quasi-static network in the traditional power system, the dynamic network in the power-electronic-dominated power system should be considered due to rapid response of converters' controls.
Ma, Rui, Yang, Xiaowen, Zhan, Meng
core  

Grid-Forming Control of Power Converters: Equivalence Proof through Simplified Models

open access: yes, 2023
This work establishes the equivalence of selected grid-forming control algorithms within the context of simplified theoretical models. Considered algorithms are droop control, Virtual Synchronous Machine (VSM) and matching control. It is shown that nodal
Zhetessov, Aidar
core  

Risk-Constrained Control of Mean-Field Linear Quadratic Systems

open access: yes, 2023
The risk-neutral LQR controller is optimal for stochastic linear dynamical systems. However, the classical optimal controller performs inefficiently in the presence of low-probability yet statistically significant (risky) events.
Aghdam, Amir G.   +2 more
core  

Simulation Results of Center-Manifold-Based Identification of Polynomial Nonlinear Systems with Uncontrollable Linearization [PDF]

open access: yesarXiv
Recently, a system identification method based on center manifold is proposed to identify polynomial nonlinear systems with uncontrollable linearization. This note presents a numerical example to show the effectiveness of this method.
arxiv  

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

open access: yes
This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of introducing transfer ...
Chen, Junghui   +4 more
core  

DRL2FC: An Attack-Resilient Controller for Automatic Generation Control Based on Deep Reinforcement Learning

open access: yes
Power grids heavily rely on Automatic Generation Control (AGC) systems to maintain grid stability by balancing generation and demand. However, the increasing digitization and interconnection of power grid infrastructure expose AGC systems to new ...
Dimitropoulos, Vasileios   +2 more
core  

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