Latest Articles for Control Theory

Study self-excited systems for improved engineering applications and control techniques.

A deep dive into port-Hamiltonian systems for managing energy flow.

AutoencODE adapts neural networks to variable layer widths for improved performance.

Exploring how barrier certificates ensure safety in quantum systems.

Learn how neural networks can reduce memory usage in safety-critical system controllers.

This article examines the role of bang-bang controls in optimizing complex systems.

A look into neural transport control and its applications.

Research on managing phase transitions using advanced numerical methods.

Exploring Monge solutions and the role of geometry in Hamilton-Jacobi equations.

This article examines work extraction from quantum systems, focusing on integrable and nonintegrable states.

A method for evaluating stability in impulsive systems within infinite-dimensional spaces.

A look at the basics of quantum systems and their practical applications.

Exploring the significance and properties of symmetric hyperbolic polynomials.

A new framework enhances robot safety by managing multiple uncertainties effectively.

A look at obstacle problems and the role of Newton differentiability in optimization.

Recent research enhances our grasp of HJB equations and their applications across various fields.

A method to assess stability in complex nonlinear systems under small disturbances.

This article focuses on achieving null-controllability in specific mathematical problems.

Optimal control theory helps enhance the performance of quantum gates in noisy environments.

Deep Kernel Learning enhances control systems, ensuring safety and reliability amidst complexity.

Introducing RHPG: a promising algorithm for optimal state estimation.

An exploration of nonholonomic systems and their significance in physics.

A look at control barrier functions for safe operation in technology.

Examining control methods for agents maintaining formations while following a path.

Learn how to manage unknown systems effectively with agnostic control strategies.

This article discusses stability analysis using Lyapunov functions in linear dynamical systems.

Examining how to achieve rapid transformations in quantum systems effectively.

Leveraging the Douglas-Rachford algorithm for effective optimal control problem-solving.

New method improves efficiency in solving complex partial differential equations using neural networks.

A closer look at the balance of depth and width in neural ODEs.

A new approach improves control systems analysis using set-valued analysis.

New methods enhance solving Riccati equations for robust control applications.

A look at methods for simplifying high-dimensional functions in control systems.

A method to manage complex systems effectively when parameters are not fully known.

This study focuses on improving coordination in systems with limited communication.

Introducing an efficient approach to tackle Hamilton-Jacobi-Bellman equations for improved accuracy.

Explore the connections between algebra, geometry, and differential equations through Galois theory.

Examining methods to control and manage complex networks effectively.

Explore controllability in nonlinear systems with periodic drifts and its applications.

A new algorithm optimizes quantum gate creation in open quantum systems.