Abstract: In this paper, a fuzzy reinforcement learning (RL)-based tracking control algorithm is first proposed for partially unknown systems with actuator faults. Based on Takagi-Sugeno fuzzy model, ...
Abstract: With the bidirectional power flow provided by the Energy Internet, various methods are promoted to improve and increase the energy utilization between Energy Internet and main grid (MG).
Abstract: U-net is an image segmentation technique developed primarily for image segmentation tasks. These traits provide U-net with a high utility within the medical imaging community and have ...
Abstract: In this paper, recent progress of binary metal–oxide resistive switching random access memory (RRAM) is reviewed. The physical mechanism, material properties, and electrical characteristics ...
Abstract: Acoustic emission (AE)-signal-based techniques have recently been attracting researchers' attention to rotational machine health monitoring and diagnostics due to the advantages of the AE ...
Abstract: Real-time monitoring of flammable and explosive gas pipeline networks is of great significance for ensuring the safety of life and property. Although the optical fiber sensing technology has ...
Abstract: A corporate-feed slotted waveguide array antenna with broadband characteristics in terms of gain and reflection in the 350-GHz band is proposed. To improve the etching accuracy of the thin ...
Abstract: Achieving high renewable energy penetrated power systems requires considerable operational flexibility to hedge the variability and uncertainty of variable renewable energy (VRE) generation.
Abstract: The realization of optical nonlinear activation functions (NAFs) is essential for integrated optical neural networks (ONNs). Here, we propose and experimentally demonstrate a photonic method ...
Abstract: Equipment operating in intermittent industrial processes generates complex system coupling and unequal-length sensor data, which are considered significant challenges for fault diagnosis in ...
Abstract: In this letter, we propose a novel technique for unsupervised change detection in multitemporal satellite images using principal component analysis (PCA) and k-means clustering. The ...
Abstract: The adaptive fuzzy control method has been widely used in the control of nonlinear systems. The system state is required to stay in a compact set for the effectiveness of the fuzzy logic ...
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