Articles tagged with Closed Loop Control
Researchers propose an AI framework, called interoceptive AI, that uses internal states to inform learning and decision-making in dynamic environments. This approach treats internal conditions as a continuous source of context, influencing what an agent learns, prioritizes, and does.
A new study reveals that astrocytes actively participate in motor-learning circuit rewiring by eliminating synapses in the striatum. The research identifies MEGF10 as a key molecular mediator of this process, which is regulated by dopamine signaling and neural activity.
A study comparing hybrid closed-loop and open-loop systems in young people with type 1 diabetes found that hybrid closed-loop systems offered improved long-term blood sugar values, a lower risk of hypoglycemic coma, but a higher rate of diabetic ketoacidosis. The results suggest that hybrid closed-loop therapies may be beneficial for i...
A new study proposes a theoretically new mechanism to modulate spinal reflexes at the same spinal cord level as stretch reflexes during voluntary movements. The research, led by Biomedical engineering doctoral student Grace Niyo, suggests that a simple spinal circuit can correct self-perturbations from stretch reflexes to produce smoot...
Scientists have developed a method to precisely control the shape and contact angle of microdroplets, achieving arbitrary shapes and a wide range of contact angles. This breakthrough challenges the traditional Gibbs equation, which predicts contact angles for macro-droplets on rough surfaces.
Researchers at Nanjing University have developed a miniaturized FSO system achieving an astonishing 9.16 Gbps bandwidth over 1 km link using readily available commercial fiber transceiver modules. The system enables automatic tracking and precision acquisition, eliminating the need for optical amplification.
The project aims to assess the operational resilience of microgrids on DoD installations and ships, using new operational resilience indexes developed by Lehigh University researcher Javad Khazaei. The team will develop a dashboard to monitor resilience indexes in real-time, providing recommendations for improving the systems.
A new artificial pancreas system has been shown to be safe and effective in managing blood sugar levels in very young children with type 1 diabetes. The hybrid closed-loop system, CamAPS FX, reduced average blood sugar levels and improved glucose control without increasing the risk of hypoglycemia.
Researchers at the University of Houston have developed a smartwatch technology that can monitor and help lower stress levels by detecting changes in skin conductance response. The device sends reminders to listen to relaxing music when stress is detected, forming a closed-loop system.
Researchers at Shenyang Institute of Automation develop contact aerial manipulator system for safe and efficient high-rise building inspection. The robot can avoid obstacles, jump over grooves, and conduct interactive operations while in flight.
Researchers designed a novel robotic jellyfish capable of 3D motion, leveraging reinforcement learning-based control to achieve high-order structure flexibility and yaw maneuverability. The system, inspired by Aurelia aurita, has great implications for bioinspired design of jet propulsion systems with agility.
A new hybrid closed-loop insulin delivery system was compared to sensor-augmented pump therapy for blood sugar control in patients with poorly controlled type 1 diabetes. The study found that the hybrid closed-loop system achieved significantly better glucose control and reduced the risk of hypoglycaemia.
A new method for controlling self-balancing mobile robots has been proposed by Prof. Mou Chen, improving their tracking performance. The technique utilizes a disturbance observer to fully utilize dynamic information and adjust the robot's behavior.
The special focus on formation control of unmanned systems presents recent significant achievements in theoretical design and applications. Key findings include the use of consensus-based approaches for simultaneous attack problems and hybrid particle swarm optimization for multi-UAV formation reconfiguration.
The study establishes conditions for globally stabilizing closed-loop systems and converging their position to setpoints. The selection of PID parameters has flexibility due to the availability of upper bounds for partial derivatives of nonlinear uncertain functions.
Scientists propose a new control system design using Fractional-Order Generalized Principle of Self-Support (FOGPSS), disregarding traditional cause-and-effect definitions. The model uses fractional order calculus to describe potential outcomes over time, allowing for robustness and adaptability in systems with long-term memory.
Researchers found that an automated insulin feedback controller improved glucose control and reduced episodes of nocturnal hypoglycemia in children with type 1 diabetes at a diabetes camp. The study's results are promising, particularly for the challenging environment of a diabetes camp.
Recent advancements in hypersonic flight dynamics and control are presented, including anti-disturbance control, composite dynamic surface control using neural networks, and sliding mode control. These methods enhance tracking performance and convergence speed, addressing system uncertainty and actuator dynamics.
A closed-loop 'artificial pancreas' system can improve blood sugar control in young patients with type 1 diabetes, reducing the risk of nocturnal hypoglycaemia and achieving good glucose levels. The study found that children with the artificial pancreas maintained normal blood glucose levels for 60% of the time.
The Southwest Research Institute's SC-11 spacecraft control avionics unit is the brain of the WISE spacecraft, providing complete command and control over operations. The SC-11 also offers a backup 'safe mode' processor to ensure sun-safe orientation in case of main processor failure.