With the development of intelligent bionic robots and the improvement of military application,a single robot cannot meet the requirements of the tasks of the current *** more complex tasks require not only that the ro...
详细信息
With the development of intelligent bionic robots and the improvement of military application,a single robot cannot meet the requirements of the tasks of the current *** more complex tasks require not only that the robot be able to pass through the field barriers and the amphibious environment,but also that the robot be able to collaborate in a multi-robot ***,research on the multi-robot control system of spherical amphibious robots is very ***,the main research on amphibious robots is to improve the functions of a single robot,in the absence of the study of the multi-robot control *** systems primarily use a centralized control *** the transfer of central node can be achieved,there is still a problem of Byzantine fault tolerance in military applications,that is,when the amphibious multi-robot system is invaded by the *** central node may not only fail to accomplish the task,but also lose control of other robots,with severe *** solve the above problems,this paper proposed a decentralized method of spherical amphibious multi-robot control system based on blockchain ***,the point-to-point information network based on long range radio technology of low power wide area network was set up,we designed the blockchain system for embedded application environment and the decentralized hardware and software architecture of multi-robot control *** this basis,the consensus plugin,smart contract and decentralized multi-robot control algorithm were designed to achieve *** experimental results of consensus of spherical amphibious multi-robot showed the effectiveness of the decentralization.
This paper finds the optimal feedback controller for the discrete time, finite horizon disturbance attenuation problem under bounded disturbances. We consider a linear dynamical system and a quadratic objective functi...
详细信息
ISBN:
(数字)9798350382655
ISBN:
(纸本)9798350382662
This paper finds the optimal feedback controller for the discrete time, finite horizon disturbance attenuation problem under bounded disturbances. We consider a linear dynamical system and a quadratic objective function with a resulting nonlinear optimization and optimal nonlinear controller. In the space of initial states, two regions are identified. One region, containing the zero initial state, features the linear optimal
$H_{\infty}$
controller, while the other region features nonlinear optimal control, and converges to the linear quadratic regulator (LQR) controller for large initial states. The transition between the two regions offers a unified framework that spans from
$H_{\infty}$
control to LQR control as a function of the relative magnitude of the initial state and the imposed disturbance. This study enhances the versatility of disturbance attenuation feedback controllers and expands on the previous work on the dynamic game theory approach to optimal robust control design.
In this paper,a fully-actuated system prescribed performance controller is proposed to achieve attitude tracking control of the combined *** order to make the combined spacecraft satisfy the required steadystate and t...
In this paper,a fully-actuated system prescribed performance controller is proposed to achieve attitude tracking control of the combined *** order to make the combined spacecraft satisfy the required steadystate and transient performance in the attitude tracking control process,a fully actuated system controller with prescribed performance is *** attitude dynamics model of the combined spacecraft is transformed into a tracking error ***,the controller of the fully actuated system is designed according to the error function to realize the attitude tracking control of the combined *** function is introduced to prove the stability of the *** the presented way of designing fully actuated system prescribed performance controller,the numerical simulation results verify the effectiveness of the proposed method.
Since 1960s,the first-order state space approach has been dominant in analysis and design of control *** a state-space model of a dynamical system,the state variable is ***,some problems relevant to state estimation a...
详细信息
Since 1960s,the first-order state space approach has been dominant in analysis and design of control *** a state-space model of a dynamical system,the state variable is ***,some problems relevant to state estimation and the seeking of state solution can be conveniently ***,the control variable is the core in the design of controllers.
In the contribution, a model predictive trajectory tracking approach is presented. Due to the utilization of an accurate prediction model, which considers not only the vehicle dynamics but also the limited actuator dy...
详细信息
Alveolar echinococcosis (AE) remains a serious worldwide public health problem as a very harmful human tapeworm disease. Rapid and accurate diagnosis of AE is crucial for treatment and postoperative recovery. This stu...
详细信息
Probiotics show anti-influenza activity, offering a potential variant-resistant alternative for infection prevention and control. In this study, we evaluated whether a specially formulated yogurt enriched with synbi...
Probiotics show anti-influenza activity, offering a potential variant-resistant alternative for infection prevention and control. In this study, we evaluated whether a specially formulated yogurt enriched with synbiotics (named yogurt 1 in this study) with seven probiotics and six prebiotics, has anti-influenza effects and its underlying mechanisms using a mouse model challenged with influenza virus H1N1 PR8 strain. The mice were treated with phosphate-buffered saline (negative control), yogurt matrix, yogurt 1, and oseltamivir (positive control), respectively. yogurt 1 treatment improved the survival of infected mice (from 0% to 30%), alleviated pathological injuries in the lungs and colon, and reduced the viral load of influenza virus on days 3 and 7 post-infection. yogurt 1 also downregulated some inflammation-related signaling pathways and reduced the levels of proinflammatory cytokines or chemokines in the lungs or serum, including interleukin (IL)-1β, IL-6, tumor necrosis factor-α (TNF-α) and keratinocyte chemoattractant (KC). The levels of short-chain fatty acids in the cecal content were increased, the diversity of the intestinal flora was partially restored, and influenza-specific IgG and interferon-secreting lymphocytes were enhanced following yogurt 1 administration. Thus, yogurt 1, as a commercial and easily accessible dairy product, demonstrated a notable anti-influenza effect in mice by inhibiting viral proliferation, suppressing excessive inflammatory responses, and promoting influenza virus-specific adaptive humoral and cellular immune responses, demonstrating its potential for influenza epidemic prevention and control.
Ship detection is very important in improving navigation *** recent years,YOLO series object detection algorithm has achieved remarkable *** the representative work of the YOLO series,version 5(YOLOv5) is widely use...
详细信息
ISBN:
(纸本)9781665431293
Ship detection is very important in improving navigation *** recent years,YOLO series object detection algorithm has achieved remarkable *** the representative work of the YOLO series,version 5(YOLOv5) is widely used in target recognition tasks for its high recognition accuracy and lightweight model. However,the sea scene background is complex and variable,which is greatly affected by extreme weather such as light,rain and *** this reason,an improved YOLOv5s algorithm with attention mechanism is proposed to enhance the feature fusion ***,the feature map extracted from different layers was aligned on the number of ***,different weight coefficients were added to the corresponding feature ***,the experimental results demonstrate that the improved algorithm obtain 3.1% higher mAP.5 than YOLOv5s on MS-COCO *** the meanwhile,the performance on BOAT data is also competitive in terms of quality.
We investigate state feedback and observation for infinite-dimensional linear systems, including a variety of partial differential equations with boundary control and observation. We extend the modulating function app...
We propose a novel layer-wise parameterization for convolutional neural networks (CNNs) that includes built-in robustness guarantees by enforcing a prescribed Lipschitz bound. Each layer in our parameterization is des...
详细信息
暂无评论