Latest Articles for Control Systems

Exploring how quantum mechanics can enhance decision-making in control systems.

A new approach to manage decentralized optimization in systems with affine constraints.

A method for determining stability in systems using complex coefficient polynomials.

Managing superconducting cavities enhances particle acceleration performance.

New methods enhance accuracy in control systems using step functions.

This article explores gain of entrainment and its impact on system performance.

A look into the significance of eigenvalue constraints in matrix optimization.

A new approach improves control systems handling uncertainty.

Research shows improved methods for robotic motion planning across various complicated scenarios.

A new method enhances robot movement modeling using inverse dynamics.

Exploring new techniques for better control of nonlinear systems without precise models.

A look into LPVMPC and NMPC for safe driving.

A new method to synchronize agents despite data imperfections.

This article discusses methods to manage material behavior in surface coatings.

A method for precise temperature control in materials through flatness-based techniques.

Investigating how reinforcement learning can improve tokamak magnetic control.

New algorithms improve control for complex systems like hypersonic vehicles.

A new approach to optimize quantum gates while respecting amplitude constraints.

A method for decision-making with incomplete information focusing on cautious optimization.

This article discusses optimizing control systems while managing associated risks.

Research introduces control strategies for stabilizing quantum entanglement in qubit systems.

Research advances fault-tolerant controllers for reliable OPO performance in quantum optics.

New strategies improve control of complex systems without intrusive measures.

New methods enhance control strategies for uncertain engineering systems.

Combining neural networks with traditional methods improves airbrake safety and performance.

Exploring new methods for identifying non-causal dynamic systems using kernel-based techniques.

Researchers tackle complex control systems for free-floating robots using advanced frameworks.

A look into the role of zeros in linear systems and their implications.

Exploring control methods to improve robot stability in dynamic environments.

A new method stabilizes wave equations affected by time delays in control systems.

New methods improve the control of complex nonlinear systems in engineering.

This article highlights concerns about the robustness of neural network controllers.

A look into dephasing and control in two-qubit systems for quantum computing.

A framework to boost performance in continuous-time reinforcement learning systems.

New frameworks improve drone performance using learning and adaptive control methods.

A new technique improves real-time control of energy systems using reinforcement learning.

A look at how these systems guide agent interactions.

GF-RLS offers improved adaptability and stability in parameter estimation methods.

Learn techniques to simplify complex passive systems while maintaining key properties.

Improving efficiency and product yield through optimal control in chemical reactors.