The paper deals with the design and implementation of safety functions for a CNC milling machine. It is a relatively small CNC milling machine that does not pose a great danger to trained persons. Because it is used i...
详细信息
The inspection of roads for defects, as basic transportation infrastructure, is critical to maintain the efficient and safe operation of the transportation system. Visual perception-based pavement defect detection met...
详细信息
The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study intro...
详细信息
The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. By amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of the CEC2013 benchmark, the AIWGOA demonstrates notable advantages across various metrics. Subsequently, an evaluation index was employed to assess the enhanced handwritten documents and images, affirming the superior practical application of the AIWGOA compared with other algorithms.
controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approa...
详细信息
controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based ***,due to the intermittent nature of DGs coupled with PCC through uni-directional broadcast communication,the PCC becomes vulnerable to transient *** address this challenge,this study first presents a detailed mathematical model of an ADN from the perspective of PCC regulation to realize rigidness of PCC against ***,an H_(∞)controller is formulated and employed to achieve optimal performance against disturbances,consequently,ensuring the least oscillations during transients at ***,an eigenvalue analysis is presented to analyze convergence speed limitations of the newly derived system ***,simulation results show the proposed method offers superior performance as compared to the state-of-the-art methods.
The article deals with the integration of Lo(ng) Ra(nge) Wide Area Network (LoRaWAN) sensors with generic manufacturing applications and Industrial Internet of Things (IIoT) use-cases. The focus is on creating a suita...
详细信息
We study a generalized higher-order nonlinear Schr¨odinger equation in an optical fiber or a planar *** obtain the Lax pair and N-fold Darboux transformation(DT)with N being a positive *** on Lax pair obtained by...
详细信息
We study a generalized higher-order nonlinear Schr¨odinger equation in an optical fiber or a planar *** obtain the Lax pair and N-fold Darboux transformation(DT)with N being a positive *** on Lax pair obtained by us,we derive the infinitely-many conservation *** give the bright one-,two-,and N-soliton solutions,and the first-,second-,and Nth-order breather solutions based on the N-fold *** conclude that the velocities of the bright solitons are influenced by the distributed gain function,g(z),and variable coefficients in equation,h_(1)(z),p_(1)(z),r_(1)(z),and s_(1)(z)via the asymptotic analysis,where z represents the propagation variable or spatial *** also graphically observe that:the velocities of the first-and second-order breathers will be affected by h_(1)(z),p_(1)(z),r_(1)(z),and s_(1)(z),and the background wave depends on g(z).
A sliding mode control algorithm based on a linear extended state observer is proposed to address the multi-source uncertainty of uncalibrated visual servoing in robotic arms. Uncertainty, nonlinearity, coupling, exte...
详细信息
Rehabilitation robots based on variable stiffness elastic actuators exhibit strong human-robot interaction char-acteristics due to the specific features of the actuators, including flexible drive and variable stiffnes...
详细信息
To improve vehicle adaptability to low-temperature environments, this paper proposes a combined energy and thermal management strategy (C-ETM) based on twin delayed deep deterministic policy gradient (TD3) algorithm f...
详细信息
To improve vehicle adaptability to low-temperature environments, this paper proposes a combined energy and thermal management strategy (C-ETM) based on twin delayed deep deterministic policy gradient (TD3) algorithm for hybrid electric vehicles (HEVs). First, a vehicle energy management system (EMS) model and a engine-battery-cabin coupled thermal management system (CTMS) model are developed. By analyzing the coupling relationship between the CTMS and the EMS, a multiobjective optimization problem is constructed to minimize fuel consumption and battery aging damage and ensure SOC stability. Facing the challenges of solving optimization problems caused by the high-order complex nonlinearity of thermal-electrical coupling systems, the optimization problems are transformed into a Markov decision process (MDP). A reinforcement learning framework based on the TD3 algorithm is designed to achieve a real-time solution to the problem from a new perspective, overcoming the reliance on the system models and accurate future traffic information. The proposed strategy has efficient performance in terms of fuel economy, battery life, ensuring SOC stability, and adaptability. The total optimization cost reaches 91.42% level of the dynamic programming (DP) strategy, which is 30.3% lower than the model predictive control (MPC) strategy. The online computing burden is only 0.19% of the MPC strategy, which has strong potential for real-time applications. IEEE
The stability issues of DC microgrids (DCmGs) are becoming increasingly important due to the widespread deployment of renewable distributed energy resources (DERs), which has led to a growing demand for DCmGs. Existin...
详细信息
暂无评论