Latest Articles for Control Systems

Exploring reinforcement learning applications for complex nonlinear control systems.

This study simplifies complex models while maintaining robust system behaviors.

A method for managing uncertainties in nonlinear control systems using historical data.

A look at how robust control and machine learning improve system stability.

Explore a new method for better managing uncertainties in control systems.

Explore how quantum purity and control methods shape quantum technologies.

A study on how systems return to stability after disturbances.

A look at projected dynamical systems and their role in constraint management.

Addressing attack vulnerabilities in multiagent systems through layered control strategies.

Discover the advantages of mirror descent in various fields of optimization.

A new method enhances parameter estimation in changing systems for better control.

A method to handle uncertainty in robotic interactions with objects.

A method to steer covariance for better control system performance amidst uncertainty.

A new approach to optimize control in complex systems.

Learn about funnel synthesis and its role in safe system operations.

Neural operators streamline control design for complex PDEs, enhancing efficiency.

A new method to infer constraints from expert demonstrations in robotic tasks.

A study on using Bayesian neural networks for improved control in uncertain environments.

A new method enhances machine performance across varied tasks using deep learning.

A new method for implementing Super-Twisting Controller in discrete-time systems.

A new approach to robust MPC focuses on recursive feasibility for handling uncertainties.

LAMPOS improves real-time solutions for mixed-integer programming in control systems.

Exploring the interactions and stability of dynamic systems across various fields.

A study on how periodic inputs influence system behavior and stability.

Scientists improve control techniques for underwater robots in rough ocean conditions.

New techniques improve safety and adaptability in robotic systems using dynamic parameters.

A new framework for breaking down complex requirements in robotic systems.

Exploring control strategies using electric throttle valves in an educational setting.

New approaches enhance predictive control for complex systems using machine learning.

Methods to enhance quantum performance in non-Markovian systems.

This article discusses how PAC-Bayesian bounds enhance predictions for LTI systems using finite data.

A method to enhance system performance through combined estimation and control techniques.

A novel approach enhances stability and information use in unpredictable control systems.

A new approach enhances tracking performance in nonlinear control systems.

A new method enhances parameter estimation and stability in nonlinear systems.

Exploring optimal control and fractional derivatives in engineering and environmental science.

A look into controlling fluid behavior using mathematical models.

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.