Latest Articles for Control Systems

A study on improving control strategies for systems with time delays.

Implementing multi-agent reinforcement learning to manage Rayleigh-Bénard convection.

A novel approach streamlines control design while ensuring safety in nonlinear systems.

A new method enhances learning from expert demonstrations using closed-loop control.

Combining neural networks with MPC improves efficiency in complex control systems.

A look at extremum seeking control in multivariable dynamic systems.

Exploring satellite control methods using magnetic forces in space.

Explore the significance of poles and zeros in quantum physics.

Examining coordination methods for effective multi-agent systems.

Research focuses on making neural network control systems reliable and safe.

A study on manipulating temperature using Wentzell boundary conditions and Dirichlet control.

A new framework combines PID control and reinforcement learning for improved chemical process management.

An analysis of decision-making challenges in a decentralized control system.

A framework for better control in systems with uncertainties using real data.

Innovative approaches to regulate complex nonlinear systems using data-driven methods.

A look into shared control systems for improved robot-user interaction.

A method to reduce message traffic in control systems without losing performance.

New methods for addressing multiple objectives in control systems enhance performance and decision-making.

New methods improve frequency stability in renewable energy power grids.

A new method to improve control systems under uncertainty using Distributionally Robust Control.

New strategies improve voltage regulation in DC-DC converters under varying load conditions.

Exploring how systems can benefit from shared experiences to improve performance.

Introducing a new method for faster energy function calculations in nonlinear systems.

A new method enhances satellite rotation efficiency and control.

Strategies to improve communication in networked control systems under challenges like packet drops.

A new approach improves system performance by addressing uncertainties in design and control.

An overview of the control system essential for ultracold atom experiments.

Explore how DC-DC converters ensure stable power in electronic systems.

This article explains flatness and forward-flatness in system control using geometric tests.

Learn how similarity can enhance machine learning in control systems.

A new software library aims to enhance Baxter's movement control in research applications.

This study examines using deep learning for effective flow control around a square cylinder.

Machine learning improves management of unsteady airflow in various systems.

A novel technique improves tracking in complex systems beyond lower triangular structures.

A distributed method for optimization in networked systems with infinite constraints.

Strategies for stable control in systems with intermittent observations and data constraints.

New methods improve control system performance under uncertainty and changing conditions.

Examining how time delays affect power system dynamics and stability.

A look at how fuzzy logic aids robot navigation indoors.

Exploring the impact of MBF control on entropy in quantum systems.