Latest Articles for Control Systems

Explore methods to enhance stability in control systems using mathematical frameworks.

New method improves identification of continuous-time systems using sampled data.

New control method improves safety and flexibility for tendon-driven robots.

Research highlights cross-area oscillations in systems with grid-forming converters.

Examining the efficiency of decentralized control in complex systems.

Learn how adaptive control adjusts systems to varying conditions and its challenges.

Introducing self-improving agents for efficient particle accelerator management.

BaCLNS streamlines the design of backstepping control laws for engineers.

New approaches in optimal control tackle complex systems and constraints using innovative techniques.

A refined approach improves drone control and smoothness in windy conditions.

A look into implementing the OBF-ARX filter for system output predictions.

A new method for learning stable nonlinear systems using kernel-based approaches.

A new controller adapts to different quadcopters and conditions effortlessly.

Exploring the issues of generalization in adaptive control systems.

Engineers use Control Barrier Functions to maintain safety in autonomous technologies.

Researchers enhance soft drone capabilities for aerial grasping tasks.

This article presents a method to stabilize nonlinear systems using reinforcement learning.

A new method enhances robot movement and stability using a two-level control strategy.

A new approach improves control in uncertain environments using Gaussian processes.

A method to assess what states stochastic systems can reach over time.

A new method enhances event-triggered control for better resource efficiency.

A look into error estimation techniques in finite element methods.

New approaches in control systems focus on data rather than models for better efficiency.

A look at participation factors and their role in nonlinear system analysis.

Explore how DDP helps manage complex control problems in various fields.

A study on stabilizing bicopters using innovative adaptive control techniques.

Researchers tackle the structures of quantum control landscapes and their optimal strategies.

Learn how RNNs improve stability in control systems.

Learn how hierarchical control systems enhance automation efficiency and performance.

Exploring the shift towards data-driven methods in control systems.

A novel approach improves robot stability during contact with various surfaces.

A new method improves communication and control in complex systems through adaptive learning.

A look into LTI systems and their behavior with varying inputs.

Optimizing control strategies for stable system performance under varying conditions.

Echo State Networks enhance Model Predictive Control in various complex systems.

A look at how data shapes predictive control systems.

Learn how we control robots for safe and efficient operation.

Learn how model-free control helps machines operate with minimal information.

Explore how control systems manage energy and resources effectively.

A guide to managing complex systems with integer optimal control.