Latest Articles for Control Systems

Introducing Closed-Loop Diffusion Control for efficient management of complex physical systems.

This article examines how RL helps control bicycles without additional support.

A look into performance-barrier event-triggered control in reaction-diffusion systems.

A new approach to improve coordination in layered control systems using reinforcement learning.

New methods enhance monitoring speed for complex STL formulas using value freezing.

A new approach to analyze reachability in systems influenced by randomness.

New methods using reinforcement learning improve control of complex systems.

Discover how Koopman operators improve robot learning and adaptability.

New control method improves positioning accuracy in lithographic systems for semiconductors.

This article presents methods to stabilize parabolic equations with control systems against disturbances.

A new model improves communication and reduces power use in wireless control systems.

This study seeks to reduce transition times between states in Brownian gyrators.

This paper examines machine learning techniques for feedback control in complex systems.

Harnessing NMPC for optimal performance in alkaline electrolyzer operations.

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.