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In this work, the cooperation between coherent control and noises in open spin systems is studied, aiming to demonstrate that such cooperation can provide new possibilities for parametrization in quan...
The coordination control problems for heterogeneous multi-agent systems (MASs) have received considerable interests such as consensus, synchronization, distributed formation control. In this presentat...
To manage atmospheric carbon dioxide and convert the gas into a useful product, Cornell scientists have dusted off an archaic – now 120 years old – electrochemical equation. The group aims to thwart t...
The formation control problem for a group of unmanned aerial vehicles (UAVs) has attracted significant attention recently in multiple fields, such as robotics, aerospace, and wireless communication. U...
In principle, quantum-based devices such as computers and sensors could vastly outperform conventional digital technologies for carrying out many complex tasks. But developing such devices in practice...
A typical bacterial genome contains more than 4,000 genes, which encode all of the proteins that the cells need to survive. How do cells know just how much of each protein they need for their everyday...
The flight of insects may look effortless but, as with any animal, their movements would be wildly uneven without an intricate system of neural signaling and muscle response to stabilize and steer the...
System optimization and control have become the key design philosophies in modern control system theories, where reinforcement learning (RL) algorithm has drawn considerable attention in recent litera...
In this talk we discuss inverse optimal control for the case where only the output measurements are available. By considering the inverse problem as an identification problem, the focus of the talk is...
In this talk we discuss inverse optimal control for the case where only the output measurements are available. By considering the inverse problem as an identification problem, the focus of the talk is...
Optimal control, reinforcement learning and other optimization-based methods have been widelyapplied to control synthesis for real systems in physics, biology and robotics. However, in many complicate...
Extremum seeking control(ESC)is a class of data-driven optimization algorithms which can drive the output of an unknown dynamic system to its optimal value with respect to some cost function by using ...
With their stretched bodies, immense wingspan and iridescent coloring, dragonflies are a unique sight. But their originality doesn’t end with their looks: As one of the oldest insect species on the pl...
Controlling light at the nanometer scale is essential for high-resolution imaging, biological sensors, and cell phones. However, having precise, efficient control over light remains a major challenge ...
Most of the magnets we encounter daily are made of “ferromagnetic” materials. The north-south magnetic axes of most atoms in these materials are lined up in the same direction, so their collective for...

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