Control Global

Control strategies improve solar plant efficiency

Part three of this three-part series on justifying improved control via economics shows how simulation can quantify reduced variation from better control, and how to assess ...
Frontiers

Stability and Control of Converter-Dominated Modern Power Systems

Modern power systems are undergoing a profound transition toward low-carbon energy structures driven by the rapid expansion of renewable energy resources.
IEEE

Intrusion Detection in Industrial Control Systems Based on Deep Reinforcement Learning

Abstract: As the threat landscape for Operational Technology (OT) and Supervisory Control and Data Acquisition (SCADA) systems grows more complex, there is a pressing need for intrusion detection ...
IEEE

Investigating the Potential of an ANFIS-Based Maximum Power Point Tracking Controller for Solar Photovoltaic Systems

Abstract: The efficacy of Maximum Power Point Trackers (MPPT) in enhancing the efficiency of photovoltaic (PV) modules has been well documented. They facilitate the maximization of power output from ...
IEEE

High-Level Decision Making in a Hierarchical Control Framework: Integrating HMDP and MPC for Autonomous Systems

Abstract: This article addresses challenges of autonomous decisions making influenced by discrete system states, underlying continuous dynamics, and evolving operational environments. A comprehensive ...
IEEE

Remote Sensing Image Matching and Localization Method Based on the MySQL Multi-Feature Control Point Database

Abstract: With the increase in the number of remote sensing satellites and imaging modes, the amount of data for acquiring remote sensing images has greatly increased. Effectively and stably ...
IEEE

Convergence speed analysis of Precise Point Positioning based on multiple systems of CNES product

Abstract: This paper investigates the impact of multi-GNSS integration on the convergence performance of Precise Point Positioning (PPP), using observations from GPS, Galileo, and BDS constellations.
IEEE

Reinforcement Learning-Based Fault-Tolerant Control of Uncertain Strict-Feedback Nonlinear Systems With Intermittent Actuator Faults

Abstract: In this work, a novel reinforcement learning-based adaptive fault-tolerant control (FTC) scheme with actuator redundancy is presented for a nonlinear strict-feedback system with nonlinear ...
IEEE

Accurate Estimation of Maximum Power Point Tracking for Photovoltaic Systems Using an Adaptive Rao-Blackwellized CKF Scheme

Abstract: Maximum power point tracking (MPPT) technology is well suited to photovoltaic (PV) system analysis, which can improve power generation efficiency and control effectiveness. However, the ...
IEEE

A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points

Abstract: The study of homeostatic equilibrium is a key concern in several fields, from physiology and biology to medicine and biomedical engineering. Control theory approaches can provide effective ...
IEEE

Intelligent Nonlinear PID-Controller Combined With Optimization Algorithm for Effective Global Maximum Power Point Tracking of PV Systems

Abstract: Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum ...
IEEE

Accountable Distributed Access Control With Privacy Preservation for Blockchain-Enabled Internet of Things Systems: A Zero-Trust Security Scheme

Abstract: While being able to avoid single point failures, emerging decentralized security techniques are facing new challenges of reliability, robustness, and privacy preservation in ...