Latest Articles for Control Systems

This article discusses the design of safe neural network controllers for critical systems.

Examining key aspects of measures in optimization with a focus on optimality conditions.

This article discusses techniques for controlling systems under uncertain noise conditions.

Exploring the principles and applications of feedback control across various systems.

Control systems use safety measures to operate effectively in real-world conditions.

Exploring new methods in managing complex systems with forcible events.

A new method enhances parameter tracking in adaptive systems with limited data variation.

Innovative methods improve decision-making in control systems with incomplete data.

Exploring how drones can land on ships using image-based control systems.

This article discusses methods for modeling and identifying switched systems under uncertainty.

A new method uses data to stabilize fluid flow past a cylinder.

A method for managing complex interconnected processes under uncertainty.

A method for stabilizing the Kuramoto-Sivashinsky equation under limited measurement conditions.

A look into chattering in control and its impact on system efficiency.

SG-DMA method improves data handling in trapped-ion quantum computing systems.

A method for verifying safety in self-driving cars and drones using neural networks.

Improving performance and stability in complex control systems.

A method ensuring UAVs maintain target positions without overshooting during flight.

A new method simplifies checking forward-flatness in discrete-time systems.

This article discusses a new method for robots to avoid obstacles safely.

New methods improve stability of control systems under uncertain conditions.

Techniques for guiding robots to specific locations while avoiding obstacles.

Learn how model order reduction improves power system analysis.

A look at how Newton's method adapts to complex mathematical structures.

AHAC improves decision-making in robotics by adapting to environmental dynamics.

Exploring policy gradient methods and their effects on decision-making in reinforcement learning.

Learn how to identify linear systems that change behaviors based on data.

This article discusses a new approach to control complex systems using real-time data.

This article discusses a simplified method for optimal control using state information.

A study on effective control methods for advanced space telescopes like LUVOIR.

A look at methods for managing systems influenced by time, such as heat flow.

Learn how uncertain control co-design improves system performance amidst challenges.

This article discusses using symbolic policies in control systems through genetic programming.

Discover how Generalized Benders Decomposition improves hybrid model predictive control in robotics.

A study introduces a new method for maintaining aircraft control during actuator faults.

New methods aim to prevent loss of control for safer flight operations.

Learn how to control a unique robot balancing on a ball.

This study introduces a method for solving polynomial optimization over unions of sets.

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.