Latest Articles for Control Systems

MPCGPU speeds up control in robotics using GPUs for enhanced precision.

This article examines stability conditions in impulsive systems with interacting components.

Balancing accuracy and efficiency in modeling dynamic systems for wind energy.

This research presents a novel algorithm for estimating parameters in hybrid systems.

A new framework for assessing the stability of differential-algebraic systems under uncertainty.

A method to improve decision-making speed in Model Predictive Control systems.

New control methods improve robot adaptability to environment changes.

Innovative data-driven approaches improve online control of systems with unknown dynamics.

A novel control method enhances coordination of underwater vehicles for various tasks.

Exploring how deadbeat coupling facilitates synchronization in various systems.

An overview of switched linear systems and their significance in control design.

Learn how FMPC improves control of nonlinear systems.

Lipschitz-Constrained Neural Networks enhance prediction accuracy in complex systems.

Exploring multi-learning and its impact on reinforcement learning stability and performance.

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.