A5102855082- Distributed Control Multi-Agent Systems
- Advanced Photocatalysis Techniques
- Covalent Organic Framework Applications
- Robotic Path Planning Algorithms
- Porphyrin and Phthalocyanine Chemistry
- UAV Applications and Optimization
- Ocean Waves and Remote Sensing
- Metal-Organic Frameworks: Synthesis and Applications
- Robotics and Sensor-Based Localization
- Indoor and Outdoor Localization Technologies
- Metallic Glasses and Amorphous Alloys
- Inertial Sensor and Navigation
- Hand Gesture Recognition Systems
- Hydrogen Storage and Materials
- Astronomical Observations and Instrumentation
- Human Pose and Action Recognition
- Target Tracking and Data Fusion in Sensor Networks
- Market Dynamics and Volatility
- Precipitation Measurement and Analysis
- Radical Photochemical Reactions
- Adaptive Dynamic Programming Control
- Soil Moisture and Remote Sensing
- Optimal Power Flow Distribution
- Gait Recognition and Analysis
- CO2 Reduction Techniques and Catalysts
Northwestern Polytechnical University
2023-2025
Fudan University
1998-2023
Luoyang Normal University
2022-2023
Zhejiang University
2022
Chang'an University
2019
Hunan University
2018
This article concerns the secure containment control problem for multiple autonomous aerial vehicles. The cyber attacker can manipulate commands, resulting in failure position loop. Within a zero-sum graphical game framework, controllers and malicious attackers are regarded as players, attack-defense process is recast min-max optimization problem. Acquiring optimal distributed policies requires solving game-related Hamilton-Jacobi-Isaacs (HJI) equations. Based on critic-only neural network...
Gesture recognition has been applied in many fields as it is a natural human–computer communication method. However, of dynamic gesture still challenging topic because complex disturbance information and motion information. In this paper, we propose an effective method by fusing the prediction results two-dimensional (2D) representation convolution neural network (CNN) model three-dimensional (3D) dense convolutional (DenseNet) model. Firstly, to obtain compact discriminative representation,...
Abstract Photosynthetic organisms harness solar radiation to produce energy-rich compounds from water and atmospheric CO 2 via exquisite supramolecular assemblies, which offers a design principle for highly efficient artificial photocatalytic systems. As an emerging research field, significant effort has been devoted self-assembled materials H production reduction. In this review, we introduce the basic concepts of materials. After that, will discuss recent advances in preparation...
[Fe(bpy)<sub>3</sub>]<sup>2+</sup> complex-connected porous organic polymers rival or surpass homogeneous control complexes for visible light-induced catalysis of transformations with high recyclability.
Investors are frequently concerned with the potential return from changes in a company’s stock price. However, price fluctuations highly nonlinear and nonstationary, rendering them to be uncontrollable primary reason why majority of investors earn low long-term returns. Historically, people have always simulated predicted using classic econometric models simple machine learning models. In recent years, an increasing amount research has been conducted more complex deep methods forecast...
To control the quality of X-band marine radar images for retrieving information and improve inversion accuracy, research on rainfall detection from is investigated in this paper. Currently, difference correlation characteristic between rain-contaminated image rain-free utilized to detect rainfall. However, only coefficient at a position lagged azimuth utilized, statistical hard threshold adopted. By deeply investigating calculated images, can be used constitute feature vector (CCFV). Then,...
ABSTRACTIn this paper, the shadow statistical method, which has merit of without calibration, is further investigated for retrieving significant wave height (SWH) based on shadowing from X-band marine radar images. For Smith fitting function (SFF) utilized to fit illumination probability obtained image and calculate SWH. By deeply investigating estimation steepness image, it found that analytic solution not obtained, due complementary error exponential term in SFF. Meanwhile, several...
This letter proposes an adaptive calibration scheme that integrates Ultra-Wideband (UWB) anchor position estimation and path planning for Unmanned Aerial Vehicles (UAVs). A closed-form solution, independent of the initial guess UWB positions, is rigorously derived, in algorithm. Additionally, covariance localization error provided to adaptively evaluate accuracy. Based on derived covariance, a strategy designed phase. enables UAV plan its next best sampling point by optimizing norm matrix,...
Unmanned aircraft systems (UASs) with autonomous maneuvering decision capabilities are expected to play a key role in future unmanned applications. While reinforcement learning has proven successful solving UAS path planning problems simple urban environments, it remains under-researched for some complex mountain environments. In this paper, the of swarm low-altitude rapid traverse diverse environments is studied when facing threats terrain, radars and failure. First, radar detection...
In order to improve the performance of low precision INS/GPS integrated navigation system, an effective algorithm INS-assisted GPS tightly coupled based on EKF was used,which uses acceleration and angular velocity information measured by INS estimate pseudorange rate error GPS, this is treated as measurement EKF, corrected assist tracking loop receiver. This method can effectively acquisition ability system in complex environment.
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at glance that was extracted from about 100 leading journals. To access of an article which published elsewhere, please select “Full Text” option. The original trackable via the “References”