Articles tagged with Hierarchical Control
Researchers introduce a framework linking biochar's internal structure to its performance in various applications. The physical genome framework unifies scattered findings and encourages future studies measuring multiple properties.
A hierarchical platoon control framework is designed to address the influence of external disturbances on CV platoons. The ISM controller eliminates disturbance effects, ensuring stability and string stability in the platoon. Numerical simulations demonstrate the effectiveness of the control strategy.
Scientists develop a novel deployment scheme for a 3-body chain-type tethered satellite system, utilizing sequential deployment and hierarchical sliding mode control to ensure accurate trajectory tracking. The proposed scheme simplifies the deployment process while guaranteeing positive tension and avoiding tether rupture.
Research reveals TBX3 as a fate determinant controlling hypothalamic KNDy neuron development and puberty onset. Multiple TBX3 mutants fail to form phase-separated condensates, leading to delayed puberty in UMS patients.
Developed by Prof. Qing Shi's team, SQuRo can mimic the motion of actual rats and perform various motions like crouching-to-standing, walking, crawling, and turning. It successfully passed through an irregular narrow passage and demonstrated its potential application to inspection tasks inside narrow spaces.
The U.S. Army has developed a reinforcement learning approach that enables swarms of unmanned aerial and ground vehicles to accomplish various missions while minimizing performance uncertainty. This allows for efficient execution of time-consuming or dangerous tasks, enhancing warfighters' tactical situational awareness.
Researchers at Anhui University and Nanjing University successfully constructed 1D linear chains, 2D grid networks, and 3D superstructures from Ag29(SSR)12 nano-building blocks. The hierarchical self-assembly enables remarkable optical absorptions and gas storage properties in the assembled frameworks.
The study reveals that overlapping regions in premotor and parietal cortices represent sequences in multiple levels of motor hierarchy. The primary motor cortex uniquely represents individual finger movements. This finding provides insights into the brain's complex representation of motor sequences.
A new simplified mass-spring-bar model is presented for the semi-pelagic trawl system, enabling trajectory tracking and control of the trawl net and two otter boards. The proposed hybrid control approach combines stability analysis with S-plane control to ensure effective motion control.
UMass Amherst researchers develop a new framework for managing control transfer between humans and autonomous systems, enabling safe semi-autonomous vehicles. The approach leverages human strengths while capitalizing on machine capabilities.
Scientists develop a system to assemble giant molecules with 'orthogonal' ends, allowing for precise control over superstructures ranging from cubes to wheels and sandwiches. This breakthrough enables potential applications in device creation and nano-architecture design.
Two brothers propose that all complex systems fall into just three basic categories, enabling control through understanding critical control points. This framework has implications for controlling economic systems, biological processes, and social networks.