Latest Articles for Control Systems

Exploring two data-driven approaches to control systems.

This article introduces a new method to improve stability in real-time control systems.

Examining how agents coordinate without direct communication in decentralized systems.

Introducing innovative Koopman models designed for stability in system learning.

A method combining task prioritization and efficient computation for robotic control.

A look at how Wilcox and Fer expansions help solve differential equations.

Study proposes a benchmark for controlling autonomous vehicle groups effectively.

Using machine learning to enhance dynamic system control through Lie groups.

A new approach ensures tasks are completed within set time limits.

New RNN approach enhances motor speed response in electric vehicles and drones.

This study examines simulation's role in developing control policies for autonomous robots.

Discover how DDPMs enhance feedback control for nonlinear systems.

This method shows promise for applications in robotics and medicine.

Learn how the NRP FD algorithm addresses redundancy challenges in control systems.

Engineers use advanced methods to keep safety-critical systems stable and secure.

A method combining Koopman operator and kernel approaches for improved nonlinear system control.

This article discusses how data-driven methods improve control systems through simplified models.

An overview of formal methods for designing safe autonomous systems.

Introducing efficient control methods for large-scale systems using distributed observers.

New methods improve understanding of nonlinear systems and their observability measures.

A new method for improving control in complex systems using MR-ARL.

New methods help robots navigate challenges in dynamic environments effectively.

This article examines how well policies work from approximate models in complex environments.

This article explores PID control integration into transformers to improve robustness and output quality.

This research evaluates strategies for managing complex systems under uncertainty.

Developing resilient control systems is key to protecting critical infrastructures.

A new method enhances state estimation in robotics by improving handling of noise.

New control method offers a realistic approach for improved system safety and efficiency.

This work examines effective sparse optimization strategies in fractional Sobolev spaces.

A method to solve complex optimization problems with nonlinear equality constraints.

Exploring neural networks for improved control in distillation columns.

Enhancing control strategies for systems while avoiding obstacles.

A look into integro-differential equations and their impact on real-world systems.

A new framework enhances model-based reinforcement learning with adaptive control for better decision-making.

A robotic agent navigates space to uncover hidden line boundaries effectively.

GXU logic offers structured methods for creating efficient control systems in automation.

A method for agents to maintain shapes with minimal communication.

Learn how to create reliable programs that react to their environment.

A new method enhances control strategies for complex systems influenced by uncertainties.

New models improve aerial robots' handling of flexible cables.