Latest Articles for Control Systems

Researchers find ways to improve the balancing of underactuated robots while they move.

A new control method prioritizes safety in uncertain environments using innovative techniques.

Exploring how machine learning enhances model-predictive control for better system performance.

A new method improves the speed of Hybrid MPC in robotic control tasks.

Exploring high-order averaging techniques to improve hybrid system performance.

Techniques for evenly distributing robots in swarms for optimal area coverage.

New methods improve control of object movements in space, enhancing stability and performance.

A new approach to managing quantum systems using probability methods.

An overview of LQR and Kalman Filter in control systems.

A new framework for identifying and verifying stability in nonlinear systems.

Learn how to control complex systems in various applications.

Examining how input redundancy interacts with constraints in control systems.

Exploring effective tuning techniques for automotive vehicle dynamics.

Learn how controllability backbone aids in managing networked agents effectively.

A look into Model Predictive Control and its applications in complex systems.

A new algorithm enhances sampling-based control methods for better performance.

A method to control reaction-diffusion equations using finite-dimensional backstepping controllers.

Discover how neural networks improve the efficiency of model predictive control.

Researchers propose new methods for managing unpredictable systems using data-driven techniques.

An overview of remote state estimation and dynamic quantization methods.

A new method enhances Model Predictive Control for faster decision-making.

Discover methods to enhance the stability of nonlinear control systems.

ChatMPC allows users to personalize robots through real-time natural language interactions.

A look at improving decision-making through faster value function approximations.

New machine learning approaches improve robotic tracking capabilities in uncertain environments.

New methods aim to improve control systems' response to disturbances while ensuring safety.

This article studies how the iP controller manages stability in linear control systems.

A new PD controller enhances the performance of flexible joint robots.

A novel method for reducing model complexity while maintaining essential features.

A new method for safely controlling unpredictable systems.

This article explores stochastic differential equations and their applications in managing uncertainty.

A new method enhances safety for robots navigating complex environments.

This article discusses control strategies in leader-follower games with private information.

New methods enhance safety for complex systems like robots and autonomous vehicles.

Research focuses on improving control strategies for nonlinear systems using data.

New methods improve control design for complex robotic specifications.

This article explores the integration of reinforcement learning with stochastic optimal control for safer decision-making.

Learn strategies for controlling systems despite unknown variables.

A look at managing safety in uncertain environments for autonomous systems.

Examining formation control techniques for multiple agents using distance and bearing constraints.