A5063256392- Adaptive Control of Nonlinear Systems
- Micro and Nano Robotics
- Modular Robots and Swarm Intelligence
- Industrial Technology and Control Systems
- Distributed Control Multi-Agent Systems
- Polymer composites and self-healing
- Advanced Sensor and Control Systems
- Phase Change Materials Research
- Molecular Communication and Nanonetworks
- Guidance and Control Systems
- Metallurgy and Material Forming
- Microstructure and Mechanical Properties of Steels
- Advanced Materials and Mechanics
- Control and Dynamics of Mobile Robots
- Dynamics and Control of Mechanical Systems
- Reinforcement Learning in Robotics
- Pickering emulsions and particle stabilization
- Metal Alloys Wear and Properties
- Power Systems and Technologies
- Inertial Sensor and Navigation
- Computational Fluid Dynamics and Aerodynamics
- Neural Networks Stability and Synchronization
- Microfluidic and Bio-sensing Technologies
- Control and Stability of Dynamical Systems
- Hydraulic and Pneumatic Systems
Shenyang Aerospace University
2017-2025
University of Science and Technology Liaoning
2025
Nanjing University of Aeronautics and Astronautics
2024
California Institute of Technology
2021-2024
Wuhan University of Technology
2016-2024
Tianjin University
2014-2018
National Changhua University of Education
2018
CITIC Group (China)
2010-2016
Tianjin University of Technology and Education
2011-2014
Tiangong University
2008-2010
Micro/nanomotors (MNMs) are micro/nanoscale devices that can convert energy from their surroundings into autonomous motion. With this unique ability, they may revolutionize application fields ranging active drug delivery to biological surgeries, environmental remediation, and micro/nanoengineering. To complete these applications, MNMs required have a vital capability reach destinations. Employing external guide the targets is common effective way. However, in scenarios where generally...
Synthetic chemotactic micro/nanomotors are envisioned to actively 'seek out' targets by following specific chemicals, but they mainly powered bioincompatible fuels and only show pseudochemotaxis (or advanced chemokinesis) due their weak self-reorientation capabilities. Here we demonstrate that synthetic ZnO-based Janus micromotors can be the alternative biocompatible fuel of CO2, further provide first example self-reorientation-induced biomimetic chemotaxis using them. The highly sensitive...
Abstract Swarming micro/nanomotors can self‐organize into cohesive groups to execute cooperative tasks. To date, research work has focused on the construction of egalitarian microswarms composed similar individuals. The and collective behaviors hierarchical leader–follower‐like are demonstrated. By inducing converging electrohydrodynamic flows under an AC electric field, dielectric microparticles with different sizes properties hierarchically attractive interactions, show novel emergent...
The bubble-propelled amorphous TiO<sub>2</sub>/Au Janus micromotors with the reversibly light-controlled motion state and speed have been demonstrated by utilizing efficient photocatalytic H<sub>2</sub>O<sub>2</sub> decomposition over <italic>in situ</italic> sensitized TiO<sub>2</sub>.
The key principle of designing a micro/nanomotor is to introduce asymmetry micro/nanoparticle. However, micro/nanomotors designed based on external and inherent chemical geometrical usually suffer from tedious small-scale preparation, high cost, and/or complexity power control devices, making them face insurmountable hurdles in practical applications. Herein, considering the possible distinct properties different polymorphs, we propose novel design strategy simple-structured micromotors by...
Abstract The development of multifunctional artificial cilia may inspire a new generation intelligent biomimetic microdevices and microfluidic systems, but remains great challenge. Here, self‐adaptive magnetic photonic nanochain arrays (SMPNCAs) capable achieving real‐time in situ visual microenvironment detection fluid pumping are shown. By combining assembly UV‐assisted hydrogen bond‐guided template polymerization printing, SMPNCAs consisting individual 1D periodic structure nanoparticles...
In analogy to eukaryotic cells that move by beating the flagella, magnetically powered micro/nanorobots with flexible filaments are capable of eluding limitation scallop theorem generate net displacement in a three-dimensional space, but they limited complicated fabrication and low speed. Here, we demonstrate tadpole-like microswimmer head tail both magnetic developing assisted situ polymerization method. The consists magnetic-bead fixed nanochain bundle nanoparticles (tail), length...
Micro- and nanorobots excel in navigating the intricate often inaccessible areas of human body, offering immense potential for applications such as disease diagnosis, precision drug delivery, detoxification, minimally invasive surgery. Despite their promise, practical deployment faces hurdles, including achieving stable propulsion complex vivo biological environments, real-time imaging localization through deep tissue, precise remote control targeted therapy ensuring high therapeutic...
ABSTRACT Cinnamon essential oil (CEo) has multiple uses in medical and health care, such as broad‐spectrum anti‐infective effects, resisting bacteria, mildew, viruses. It can also be used to improve mood promote blood circulation. The technology of continuously releasing fragrance is becoming a hot topic. This work constructs coaxial nanofiber (NF) membrane by using PVP the core layer PI shell layer, achieving loading release. prepared CEo NF release for up 14 days. efficiency was faster...
A multivariable non‐singular terminal sliding mode control (NTSMC) strategy is developed combining disturbance observer (DO) technique for the six‐degree‐of‐freedom reusable launch vehicles. First of all, control‐oriented model established, followed by a design finite‐time DO, which to estimate uncertainties and external disturbances. Second, based on estimation, composite controller NTSMC make attitude tracking errors converge zero in finite time. And then stability closed‐loop system...
Summary This paper investigates the distributed tracking control of a group underactuated quadrotors in presence actuator faults three‐dimensional space. Using consensus protocol and sliding mode algorithm, finite‐time fault‐tolerant formation scheme is developed. The whole closed‐loop system composed by position loop, attitude propeller speed loop. A controller developed to deal with unexpected quadrotors. stability guaranteed through Lyapunov analysis. Finally, efficiency proposed...
The comprehensive design of uniform robust exact disturbance observer (UREDO) and fixed‐time controller for reusable launch vehicles is investigated. A UREDO which can estimate the after a independent initial error presented. Based on estimation, non‐singular terminal sliding mode designed to ensure that guidance command be tracked within in presence model uncertainties external disturbances. proof convergence closed‐loop system under control scheme derived with complete stability analysis...
Abstract Sustainable supplementation of massive molecular‐H 2 is considered to be the most effective therapy for long‐term elimination excessive hydroxyl radicals (·OH) in vivo, but has not been achieved so far. In this work, it demonstrated that magnesium microparticles (Mg MPs) coated with mesoporous nanoshells can achieve and high‐efficient generation therapeutic hydrogen physiological condition ·OH scavenging. The as‐proposed magnesium@mesoporous SiO core–shell (Mg@p‐SiO are synthesized...
A new finite-time dynamic allocation and control scheme is developed in this article for multiple agents tracking a moving target. Based on competitive manner, the achieved by k-winners-take-all (k-WTA), which can be realized novel dual neural network with adaptive-gain activation function. Then, disturbance compensation-based law proposed to conduct capturing task or return specified point vigilance. The stability of system guaranteed through Lyapunov analysis. Finally, efficiency...
Micro/nanorobots (MNRs) hold great promise for various applications due to their capability execute complex tasks in hard-to-reach micro/nano cavities. However, the developed magnetic MNRs, as marionettes of external fields, lack built-in intelligence self-targeting, while chemotactic MNRs suffer from limited self-targeting range. Here, we demonstrate magnetic-chemotactic ZnO/Fe-Ag Janus microrobots (JMRs) capable rapid, remote bacterial elimination. The JMRs utilize Fe engine coarse...
In this article, the formation tracking control problem with prescribed performance is studied for multiple unmanned aerial vehicles whose disturbance bounded unknown boundary. Different from most existing works where realized based on error transformation, a new function-based adaptive strategy proposed to guarantee both transient and steady state performance, which simplifies design procedure. Furthermore, distributed sliding mode controller of low complex easily implementable, without...
The controller design for reusable launch vehicles is challenging due to enormous amounts of model parameter uncertainties and atmospheric disturbances. This paper first derives six-degree-of-freedom a vehicle with Next, four kinds disturbances are introduced wind models established respectively. For attitude control the vehicle, nonsingular terminal sliding mode designed stability guaranteed. Finally, simulation results show satisfactory performance tracking
Summary The attitude control problem of reusable launch vehicles (RLVs) is investigated based on multivariable supertwisting fixed‐time comprehensive strategy. A novel approach, which can guarantee that the states converge to zero within a fixed time, proposed. According multiple time scale principle, RLV system divided into angle subsystem and rate subsystem. Based design disturbance observer controller proposed ensure tracking error converges time. features scheme contain settling...
Fixed-wing UAVs have shown great potential in both military and civilian applications. However, achieving safe collision-free flight complex obstacle environments is still a challenging problem. This paper proposed hierarchical two-layer fixed-wing UAV motion planning algorithm based on global planner local reinforcement learning (RL) the presence of static obstacles other UAVs. Considering kinematic constraints, designed to provide reference guidance for ego-UAV with respect obstacles. On...