Articles tagged with Adaptive Control
Researchers developed an adaptive quantum approximate optimization-based model predictive control strategy to enhance energy efficiency and drive decarbonization in buildings. The approach achieved a 6.8% improvement in energy efficiency and a 41.2% reduction in carbon emissions.
Researchers at Trinity College Dublin have found that the brain forms memories of cold experiences and uses them to control metabolism. The discovery may lead to new treatments for conditions such as obesity and cancer, which are influenced by thermoregulation and metabolism.
Scientists successfully developed a method to precisely control the flight altitude of robo-pigeons using targeted electrical stimulation of the LoC nucleus. The study found that stimulation frequency and cycle can effectively control altitude, while increasing neural fatigue is minimized with proper inter-stimulus interval.
The University of Texas at Arlington (UTA) has been awarded a $1 million NASA grant to develop safety systems for drones and unmanned flying vehicles. The project aims to create an adaptive safety assurance architecture through extensive simulations and experimental testing, making future advanced air mobility vehicles smarter and safer.
Researchers develop a novel adaptive nonlinear PID controller integrated with radial basis function neural network for enhanced ballbot functionality. The proposed NPID-RBFNN controller demonstrates superior stability and robustness, outperforming traditional PID and NPID controllers.
Researchers at Rice University create programmable fluidic fuses that protect devices and enable complex sequencing of actions. The study's findings have far-reaching applications in wearable technology and robotics, promising more resilient and capable systems.
Researchers are using machine learning to enable autonomous control of particle accelerators, opening up new possibilities for commissioning and operating high-power accelerators. The technology has been successfully applied to the CAFe2 superconducting segment, achieving global trajectory adaptive control.
Researchers have developed a 3D printing technique to create liquid crystal elastomers with controllable alignment, leading to new possibilities for shape-morphing materials. By tuning nozzle design, print speed, and temperature, they achieved uniform molecular-scale alignment, translating to prescribed mechanical behavior.
A new study found that driving-related conversational prompts improve driver performance in taking control of the vehicle, but only when drivers are engaged. Conversely, non-driving related tasks like solving anagrams can significantly decrease performance and render prompts ineffective.
The study proposes a 'school within a school' approach to enable small changes that can affect entire systems. Researchers highlight the need for transformational changes to better prepare students for the age of Artificial Intelligence.
The researchers created a 'metasheet' with an elastic polymer and embedded magnetic microparticles that can move like a wave when controlled by a magnetic field. This technology has potential for use in confined spaces, allowing objects to be lifted and moved without physical contact.
Researchers developed a platform to help AI learn complex tasks through nuance and real-time instruction, achieving up to a 30% increase in success rates. The GUIDE framework allows humans to provide ongoing, nuanced feedback, fostering incremental improvements and deeper understanding.
Researchers explore adapting agricultural techniques, such as integrated pest management, to treat cancer. By managing cancer as a chronic condition, adaptive therapy aims to overcome treatment resistance and improve patient outcomes.
The Virginia Tech Transportation Institute received nearly $1 million in grants to develop and enhance tractor-trailer educational programs. The programs focus on advanced driver assistance systems (ADAS) and safer driving outreach, aiming to save lives by educating drivers on the benefits of these technologies.
The WVU team, led by Yu Gu, is testing Loopy's ability to 'co-design' itself and learn to mark contaminated areas. Inspired by natural phenomena like ant swarms and tree roots, Loopy changes form in response to its environment.
A new invention at TU Wien has created a method to dampen vibrations in precision devices such as high-performance astronomical telescopes. The technology uses electropermanent magnets, which are permanent magnets with a coil, to suppress vibrations efficiently and increase performance.
Researchers developed a technology to detect infectious disease viruses in real-time using a single nano-spectroscopic sensor. The system uses molecular fingerprinting and can detect specific substances with tailored detection, enabling rapid and precise analysis.
Researchers at RIKEN Center for Brain Science discovered neural circuitry in the spinal cord that enables brain-independent motor learning and recall. The study found two critical groups of neurons: one necessary for new adaptive learning and another for recalling adaptations once learned.
A team at Zhejiang University has developed a self-driving cloaked unmanned drone with an intelligent aeroamphibious invisibility cloak, capable of manipulating electromagnetic scattering in real-time across dynamic environments. The cloak integrates perception, decision-making, and execution functionalities using spatiotemporal modula...
Researchers from Carnegie Mellon University developed an adaptive robot interface called Head-Worn Assistive Teleoperation (HAT) to help people with paralysis control a mobile robot. The device uses head motion and speech recognition, allowing users to manipulate their environment according to their will.
A research group from Tohoku University Graduate School of Engineering has replicated human-like variable speed walking using a musculoskeletal model steered by a reflex control method reflective of the human nervous system. The breakthrough in biomechanics and robotics sets a new benchmark in understanding human movement.
A $161 million grant from the DOD will support research into tunable thermal conductivity and latent heat storage effects in materials. The new equipment enables analysis across a wide temperature range and various pressures and humidity levels, paving the way for adaptive materials with dynamically tunable phase change properties.
A novel bio-inspired computing approach using Biologically-Inspired Experience Replay (BIER) has improved the reliability of Unmanned Underwater Vehicles (UUVs) and other adaptive control systems. The method leverages recent experiences to stabilize UUVs in challenging conditions, outperforming conventional methods.
Researchers at Rice University are developing a machine learning framework to improve decision-making processes in military communication networks. The goal is to enable rapid, adaptive action across a broad range of scenarios by combining local data in the most effective manner.
Researchers at the University of Illinois have developed a procedure for measuring ytterbium-171 qubits that preserves them for future use, enabling long multistage calculations and multistage operations. This breakthrough paves the way for scalable neutral atom quantum computing.
Researchers develop adaptive fuzzy sliding mode controller to estimate unknown parameters and control nonlinear PAMs, showing improved tracking accuracy and adaptability compared to traditional methods.
Researchers have developed a new way to produce and shape large, high-quality mirrors that can be rolled up during launch and then precisely reshaped after deployment. The resulting mirrors are flexible enough to be used in space telescopes, enabling larger and more sensitive telescopes to be placed in orbit.
Researchers have developed a new way to time weak electrical pulses that can stop life-threatening arrhythmias like atrial and ventricular fibrillations. The approach, adaptive deceleration pacing, uses a series of weak pulses spaced farther apart over time.
Researchers at Michigan State University have designed a learning-enabled safe controller for systems operating in uncertain environments. The new method, which combines control barrier functions and Lyapunov functions, allows the system to quickly learn uncertainties while achieving maximum safe performance.
Researchers at Duke University have demonstrated a new attack strategy that can deceive industry-standard autonomous vehicle sensors into believing nearby objects are closer or further than they appear. This vulnerability highlights the need for additional redundancy and data sharing between vehicles to protect against such attacks.
Researchers developed a recursive composite adaptive control method to improve the accuracy and dynamic performance of robot manipulators in the Chinese Space Station. The new controller reduces computational loads and achieves faster parameter convergence, making it suitable for high-degree-of-freedom robots.
Developed by researchers from Harbin Institute of Technology, a new robotic arm can manipulate in environments difficult for humans and adapt to changing conditions. The arm weighs only 9.23 kilograms and can exert constant force control, enabling it to maintain contact with curved surfaces in space.
Researchers from Washington University in St. Louis uncovered why hybridization among brown anoles is rare in their native range but common in new geographic territories. The study highlights the importance of environmental degradation in facilitating hybridization, which can contribute to biodiversity declines.
Researchers from UC Berkeley studied squirrels' ability to leap and land successfully to develop more agile robots. They found that squirrels assess their biomechanical abilities based on branch flexibility and gap distance, allowing them to adjust their strategies with minimal attempts.
Kamesh Subbarao, a UTA engineering professor, has been honored by the American Astronautical Society (AAS) for his technical contributions in estimation and control. He is also recognized for his leadership in AAS technical activities.
A team of researchers developed a way for multiple UAVs to form intelligent teams while maintaining individual control, enabling more efficient and adaptable flight operations. The technique uses software-in-the-loop testing and simulation environments to optimize UAV performance in varying environmental conditions.
A team of researchers is creating an advanced autopilot system that can autonomously evaluate unforeseen circumstances and land a plane safely. The system will combine image processing, on-board computers, and sensor redundancy to defend against catastrophic failures.
Researchers at UTA are collaborating with Lockheed Martin to optimize sensor usage in unmanned vehicles, using a Kalman filter to combine information from multiple sensors. The goal is to accurately predict target behaviors and adapt to changing environmental conditions.
Researchers created a next-generation space blanket that regulates body temperature using metal 'islands' similar to cephalopod skin, allowing infrared radiation to escape when stretched. The material is ultra-lightweight, durable, and has potential applications in clothing and building insulation.
A recent study by Kamal Henderson et al found no association between high leadership capabilities and improved population blood pressure control. Despite this, the study highlights the need for more research due to limited patient-related factors and small sample size.
Harvard researchers create an adaptive metalens that controls focus, astigmatism and image shift in real-time, like the human eye. The device is made possible by combining metalens technology with artificial muscle technology, enabling dynamic aberration correction for various applications.
A study of 90 participants found that neural stimulation synchronized or desynchronized low-frequency brain waves between frontal cortex areas, corresponding to behavioral changes in control and learning. The findings have potential implications for the treatment of mental health disorders.
Researchers design a second-order sliding mode controller to eliminate frequency fluctuations and improve control of DC-DC buck converters. The new method retains robustness while allowing flexibility in the sliding line parameter.
Researchers developed a model to analyze online support for ISIS, identifying key behavioral patterns and predicting the onset of major violent events. The study found that pro-ISIS groups can adapt and regroup under different names, making them challenging to track.
The study proposes adaptive control techniques to manage pests, which can help reduce crop losses due to pest control. The approach tolerates uncertainty in pest dynamics, making it suitable for developing better models or adopting design approaches that tolerate the likely level of uncertainty.
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.
Researchers tracked similarities in how human and rodent subjects adapted to errors in a simple time estimation task, finding that both species employed low-frequency brainwaves to synchronize neurons. This study suggests that rat models could be useful for studying psychiatric diseases.
A new study published in Psychological Science found that the opportunity to exercise control through choices activates the brain's reward areas. This suggests that choice may be an adaptive behavior, as it recruits reward-related brain circuitry. The research highlights the importance of perceived control in psychological well-being a...
Researchers at Ohio State University have designed a new control system software that can adapt to changing conditions during a flight, enabling experimental aircraft to fly faster than sound. The system performed flawlessly in computer simulations of flight maneuvers, guiding the jet along its trajectory and keeping it stable.
Aerospace engineer Michael Philen has received the Oak Ridge Associated Universities Ralph E. Powe Junior Faculty Award to develop fluidic flexible matrix composites, which can change modulus on demand. These innovative materials have potential for both government and commercial applications.
Researchers at MIT have developed a platform that enables sustained, coordinated, autonomous flight with multiple UAVs, achieving complex tasks such as persistent surveillance. The test platform consists of networked mini-UAVs that can be commanded by a single operator and operate without piloting skills.
Scientists at Duke University have developed a neural system that enables monkeys to control a robot arm using their brain signals, detected by implanted electrodes. The system could form the basis for a brain-machine interface to help paralyzed patients control prosthetic limbs.
Researchers at Purdue University and Ford Motor Co. developed an advanced electronic system to monitor engine health and adapt fuel delivery, eliminating the need for time-consuming engine mapping. The technology aims to reduce maintenance costs by automatically keeping engines running smoothly as they age.
Researchers have developed seven nonlinear control laws for multi-axis control of high-performance aircraft, which could potentially save battle-damaged planes from combat. These approaches have shown spectacular results on simplified models but display pathological responses on higher fidelity simulation models.
The Active Tuned Mass Absorber (ATMA) system reduces propeller-induced sound in turbo-prop aircraft, improving passenger comfort and enhancing military surveillance. With over 200 units installed on DC-9 and MD-80 aircraft, ATMA has proven effective in reducing interior noise levels by up to 90%.
Cornell University researchers discovered how chronic stress intensifies the adrenaline response by controlling the structure of donut-shaped protein channels on adrenal cells. This 'molecular memory' can be influenced by lifestyle factors, paving the way for gene therapy and potential treatments for hypertension and heart attacks.
A robot has been taught to play air hockey, a step towards developing intelligent robots that can perform complex tasks. The robot's ability to sense its surroundings and react accordingly opens up new horizons for robotic applications.