Latest Articles for Control Systems

A method to improve control system adaptability using model-based transfer learning.

Learn how innovative control techniques can reduce energy use in various applications.

A new method improves the efficiency of NMPC using adaptive search space strategies.

Discovering methods to guide quantum states amid chaos.

A new approach to improve the performance of robot manipulators under disturbances.

Techniques to control synchronization in networks, focusing on targeted node selection.

Introducing a novel architecture for classical control systems in quantum computers.

A method to link AI decision-making and safety through control barrier functions.

Methods for controlling distributed-parameter systems using flatness and backstepping designs.

Explore methods for achieving performance and robustness in control systems.

A new observer design estimates motion states affected by friction.

A new method reduces risks in control systems using deep reinforcement learning.

Discover a flexible method to maintain system stability and performance in various industries.

New technique improves temperature management in fluid-cooled battery packs using AI.

Reduce complexity in systems to gain insights and improve predictions.

A look at combining PID and ADRC to improve control systems.

Establishing a benchmark for assessing forced oscillation estimation accuracy in power systems.

A look into the complexities of nonlinear nonholonomic mechanical systems.

A look at saltation matrices in hybrid systems and their applications.

Exploring a dual-layer system for efficient machine learning control.

A new method enables go-karts to drive autonomously using data-driven techniques.

A novel approach enhances stability and safety in robotic control systems.

Formation control techniques enhance coordination among robots for various applications.

This article explores boundary stabilization in fluid wave dynamics using feedback control methods.

A library for fuzzy logic in Julia, focusing on ease of use and flexibility.

New bandit algorithms improve decision-making under uncertainty in various fields.

Analyzing the stability of robots with asymmetric stiffness matrices in contact tasks.

Introducing a new approach for managing mechanical systems using sliding mode control.

This paper discusses enhancing multi-stage MPC efficiency using an adaptive horizon approach.

Research explores neural networks to manage control in quantum systems effectively.

This article highlights how reservoir computing can synchronize chaotic systems effectively.

A new method for managing disturbances in control systems that improves performance.

Exploring methods to manage nonlinear control systems and their complexities.

New methods improve robot coordination under uncertain conditions.

A new approach to improve control strategies using real-time adaptations.

A new system enhances control for electric vehicles in challenging road conditions.

New method enhances control systems for uncertain environments using innovative strategies.

A new method enhances state estimation with efficient updates over time.

A look at how backward reachability helps manage complex systems safely.

A straightforward overview of interpolation inequalities and their significance in mathematics.