Latest Articles for Control Systems

A look at the benefits of self-tuning control for energy efficiency in industries.

Discover the essentials of Kalman filters for state estimation in dynamic systems.

A method to improve model accuracy by addressing uncertainties while ensuring stability.

New techniques improve robotic control tasks using Vision Transformers.

A new method streamlines control design for mechanical systems through easier approximations.

This article discusses how interacting particle systems enhance reinforcement learning strategies.

Research explores control methods to manage chaotic behavior in quantum systems.

Introducing a method to manage constraints in control systems effectively.

A new method for encrypted control enhances security while performing necessary functions.

Learn how robust minmax control tackles uncertainty in various fields.

Explore the principles and applications of stochastic approximation in uncertain environments.

A look into ensemble control strategies for complex systems.

Engineers improve system performance by integrating design and control with robust strategies.

A new method improves safety for drones using resilient estimation and control barrier functions.

A new approach to optimize systems using Signal Temporal Logic.

A method to manage systems effectively with limited control inputs.

Learn how robots manage orientation in changing 3D environments.

A novel framework ensures stability and safety in nonlinear system control.

A new method improves identification of switched linear systems through robust techniques.

VOCs provide a streamlined way to predict future video states efficiently.

Explore how MPC manages uncertainty and model accuracy for effective control.

A method to enhance system efficiency without detailed knowledge.

This article examines feedback control methods for efficient tank-liquid management.

A look into learning algorithms for analyzing signal flow graphs and complex systems.

Explore the robust instability radius and its significance in control systems.

This article discusses how analytical methods enhance system identification techniques.

This paper presents a new design for controllers that adapt to uncertainties in control systems.

Efficient controller design for uncertain systems using abstraction techniques.

A new control method improves decision-making in complex systems with noisy observations.

This article discusses control algorithms inspired by nature and their applications.

Examine the role of hybrid multi-rate control systems in modern engineering.

A new method for battery management using real performance data.

Introducing a method for robots to navigate safely using control density functions.

A new approach to improve Q-learning in continuous environments through symbolic models.

A new method improves reinforcement learning efficiency and performance using physical models.

Learn how PI controllers enhance constrained optimization in machine learning.

Learn about model identification methods in control systems and their significance.

This study focuses on stabilizing fluid waves using time-delayed feedback control.

New methods enhance control system performance amidst uncertainties.

Techniques for better control in electromechanical systems with weak connections.