With lighter weight, lower power consumption, and higher flexibility, flexible manipulators have been widely used in industrial fields. However, it is easy to produce elastic deformation, resulting in vibration. In th...
详细信息
Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and ...
详细信息
Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. First, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, ***, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation ***, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.
The dust removal technology of welding seam image has important practical significance for promoting the development of weld instance segmentation and target tracking. In this paper, we propose a welding seam image du...
详细信息
Hole-transporting materials play a vital role in terms of the performance of perovskite solar cells(PSCs).The dithieno[3,2-b:2’,3’-d]pyrrole(DTP),an S,N-heterocyclic building block,has been proved to be desirable fo...
详细信息
Hole-transporting materials play a vital role in terms of the performance of perovskite solar cells(PSCs).The dithieno[3,2-b:2’,3’-d]pyrrole(DTP),an S,N-heterocyclic building block,has been proved to be desirable for molecular design of hole-transporting materials in *** developed an asymmetrically substituted DTP small-molecule(JW12)and a reference compound(JW11).The asymmetrical structure of JW12 leads to different absorption properties and electron *** device in a planar n-i-p architecture using JW12 shows a much higher PCE(18.07%)than that based on JW11(15.46%),which is also better than the device based on spiro-OMe TAD(17.47%).We hope our research can provide a new perspective in molecular design of organic HTMs for perovskite solar cells.
Polycrystalline materials are extensively employed in *** surface roughness significantly affects the working *** defects,particularly grain boundaries,have a great impact on the achieved surface roughness of polycrys...
详细信息
Polycrystalline materials are extensively employed in *** surface roughness significantly affects the working *** defects,particularly grain boundaries,have a great impact on the achieved surface roughness of polycrystalline ***,it is difficult to establish a purely theoretical model for surface roughness with consideration of the grain boundary effect using conventional analytical *** this work,a theoretical and deep learning hybrid model for predicting the surface roughness of diamond-turned polycrystalline materials is *** kinematic–dynamic roughness component in relation to the tool profile duplication effect,work material plastic side flow,relative vibration between the diamond tool and workpiece,etc,is theoretically *** material-defect roughness component is modeled with a cascade forward neural *** the neural network,the ratio of maximum undeformed chip thickness to cutting edge radius RT S,work material properties(misorientation angle θ_(g) and grain size d_(g)),and spindle rotation speed n s are configured as input *** material-defect roughness component is set as the output *** validate the developed model,polycrystalline copper with a gradient distribution of grains prepared by friction stir processing is machined with various processing parameters and different diamond *** with the previously developed model,obvious improvement in the prediction accuracy is observed with this hybrid prediction *** on this model,the influences of different factors on the surface roughness of polycrystalline materials are *** influencing mechanism of the misorientation angle and grain size is quantitatively *** fracture modes,including transcrystalline and intercrystalline fractures at different RTS values,are ***,optimal processing parameters are obtained with a simulated annealing *** experiments are performed with
Wireless Power Transfer (WPT) technology provides a convenient and efficient power supply solution for mobile devices. The utilization of constant current (CC) and constant voltage (CV) control in WPT systems proves v...
详细信息
Image preprocessing model plays an improvement role in accurately detecting objects in low-light or exposure-light images, because it can provide clear images for image detection models. An improved CycleGAN (ICGAN) m...
详细信息
The development of network equipment and sensing technology has led to the increasing popularity of spatial crowdsourcing (SC). This paper addresses the spatial task allocation problem in the SC system, where workers ...
详细信息
The development of network equipment and sensing technology has led to the increasing popularity of spatial crowdsourcing (SC). This paper addresses the spatial task allocation problem in the SC system, where workers perform spatial tasks allocated to them at the designated location. Existing studies typically focus on one worker who can only perform one task type at a time. Unfortunately, this approach significantly reduces the efficiency of workers’ output in practical applications. Hence, we propose a multi-type adaptability service model wherein a worker can simultaneously perform multiple types of tasks. Considering mutually exclusive task types, we propose a compatible allocation of task types. Furthermore, we propose a work capacity that enables a worker to perform multiple tasks simultaneously within the work capacity limits. An auction-based pricing model is proposed to provide scalable services and maximize the value of spatial tasks. We propose an efficient allocation mechanism and show that it achieves strategy-proof and group strategy-proof. In addition, the proposed mechanism achieves voluntary participation, individual rationality, consumer sovereignty, and budget balance. Moreover, the approximation of the proposed mechanism is analyzed. Finally, we use comprehensive simulations to verify the performance of the proposed mechanism.
Ultrasonic vibration-assisted technology is employed in orthopaedic surgery to minimise invasive effects in bone milling. This study explored the motion characteristics of ultrasonic vibration-assisted milling (UVAM),...
详细信息
Knowledge distillation (KD) has recently gained great success in the field of object detection. By transferring the knowledge of the spatial or channel domain from the teacher model to the student model, it allows for...
详细信息
暂无评论