Latest Articles for Control Systems

Innovative strategies for managing uncertainties in control systems using data-driven methods.

A look at modern control techniques for mixed continuous and discrete systems.

A new neuromorphic controller improves drone stability and efficiency through innovative design.

Exploring new methods for modeling and learning dynamic systems in engineering.

Combining data and models for effective system management.

Exploring the role of neural networks in approximating complex functions.

A new method improves safety in moving obstacle environments.

Learn how symmetry affects control systems and their behavioral changes.

Designing reliable controllers using input-output data eliminates modeling errors.

Efficiently managing spacecraft rotation under uncertainty using advanced control methods.

Improving state estimation in set-valued systems using sliding mode observers.

Controlling systems based on data to manage variability and achieve desired outcomes.

New methods improve robotic control in complex movements using sums-of-squares optimization.

NodeRENs combine DNNs with dynamical systems for robust learning.

New algorithms enhance consensus optimization without relying on information delays.

Control Barrier Functions help maintain safety in automated systems by setting boundaries.

This paper presents a new method for analyzing hybrid systems using singular perturbation theory.

A method to estimate costs driving agent actions in uncertain settings.

AI techniques enhance control of convection cells in heated fluids.

Learn how fault-tolerant controls keep scrubber plants operational under stress.

A look into controlling liquid levels using a three-tank system.

New methods improve force control in robots using deep reinforcement learning.

A study on efficient quadrotor movement planning methods and their performance.

Researchers optimize control strategies for nonlinear systems to manage uncertainties effectively.

This study looks at synchronizing Chua circuits using capacitors for better control.

This article presents a method for optimal area coverage using robots.

Learn how to safeguard control systems against network vulnerabilities and cyber threats.

New techniques improve disturbance estimation without persistent excitation.

A novel control method improves performance in uncertain environments without prior disturbance knowledge.

This article reviews a method for tackling complex control problems with constraints.

Analyzing performance and stability of quadrotors and vehicles under noise conditions.

This article presents an innovative method to control quadrotor drones using real data.

Innovative techniques to tackle complex optimization problems in critical systems.

ILC helps machines learn from past tasks for better future performance.

Exploring new methods for controlling complex nonlinear systems using data-driven approaches.

A look at adaptive MPC's role in managing uncertainties in control systems.

A new approach improves stability in control systems with limited information.

A new control strategy reduces chattering and knowledge requirements for better system management.

New methods improve management of quantum systems, addressing challenges in noise and efficiency.

A method that addresses complex optimization issues in image processing and control systems.