In recent years, global governments have been actively advocating for the adoption of hydrogen fuel cell vehicles (HFCVs) as a means to foster a more sustainable future in transportation. However, the widespread integ...
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A neutrosophic multi-valued set(NMVS)is a crucial representation for true,false,and indeterminate multivalued ***,a consistent single-valued neutrosophic set(CSVNS)can effectively reflect the mean and consistency degr...
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A neutrosophic multi-valued set(NMVS)is a crucial representation for true,false,and indeterminate multivalued ***,a consistent single-valued neutrosophic set(CSVNS)can effectively reflect the mean and consistency degree of true,false,and indeterminate multi-valued sequences and solve the operational issues between different multi-valued sequence lengths in ***,there has been no research on consistent single-valued neutrosophic similarity measures in the existing *** paper proposes cotangent similarity measures and weighted cotangent similarity measures between CSVNSs based on cotangent function in the neutrosophic multi-valued *** cosine similarity measures showthe cosine of the angle between two vectors projected into amultidimensional space,rather than their *** cotangent similaritymeasures in this study can alleviate several shortcomings of cosine similarity measures in vector space to a certain ***,a decisionmaking approach is presented in viewof the established cotangent similarity measures in the case of ***,the developed decision-making approach is applied to selection problems of potential *** proposed approach has obtained two different results,which have the same sort sequence as the compared *** decision results prove its validity and ***,it also provides a new manner for neutrosophic multi-valued decision-making issues.
The event-triggered scheme (ETS) has been widely used for sensor data scheduling in cyber-physical systems (CPS). Existing literature on the design of ETSs for packet drops deals with the issue of non-Gaussianity of t...
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The combination of Electric Autonomous Vehicles (EAVs) and renewable energy aligns with sustainability goals. However, to achieve these goals, it’s necessary to implement a robust control system for the key component...
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Accurately forecasting the load of electric vehicle charging stations (EVCSs) is crucial for optimizing grid operations and facilitating EV integration, yet existing methods struggle to capture the intricate spatio-te...
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This study investigates the problem of nano-scale precision trajectory tracking control with extended state observer (ESO) for piezoelectric linear motors (PELMs). Since PELMs need different driven signals for various...
This study investigates the problem of nano-scale precision trajectory tracking control with extended state observer (ESO) for piezoelectric linear motors (PELMs). Since PELMs need different driven signals for various operating requirements, they are subject to different degrees of system uncertainties and external disturbances. By analyzing the input–output characteristics of the PELM, the system model for the PELM is constructed. Due to the high uncertainties of the PELM, an ESO is introduced for the estimation of disturbances. Specifically, an enhanced error-dependent observer switching mechanism (EOSM) is established based on the disturbance features. Then, to suppress the adverse effects of disturbances, an EOSM based super-twisting sliding mode control (EOSM-STSMC) scheme is developed. The proposed control strategy can implement disturbance estimation and uncertainty inhibition, thus the complex nonlinearities of the PELM can be delicately treated and high accuracy tracking effect can be achieved. The system stability analysis is provided with the aid of the Lyapnuov function. Finally, a plenty of experiments are implemented on the PELM for tracking point-to-point trajectory, sinusoidal signal, and third-order S-curve. The proposed controller has smaller performance index values compared to the traditional SMC method, linear ESO based SMC method, and nonlinear ESO based SMC method. Experimental results indicate that the proposed controller has satisfactory transient and steady state tracking performance.
In this paper, we consider the problem of predicting unknown targets from data. We propose Online Residual Learning (ORL), a method that combines online adaptation with offline-trained predictions. At a lower level, w...
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We introduce Probabilistic Coordinate Fields (PCFs), a novel geometric-invariant coordinate representation for image correspondence problems. In contrast to standard Cartesian coordinates, PCFs encode coordinates in c...
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To address the pressing need for intelligent and efficient control of circulating fluidized bed(CFB)units,it is crucial to develop a dynamic model for the key operating parameters of supercritical circulating fluidize...
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To address the pressing need for intelligent and efficient control of circulating fluidized bed(CFB)units,it is crucial to develop a dynamic model for the key operating parameters of supercritical circulating fluidized bed(SCFB)***,data-knowledge-driven dynamic model of bed temperature,load,and main steam pressure of the SCFB unit has been ***,a knowledge-driven method is employed to develop a dynamic model for key operating parameters of SCFB *** model parameters are determined based on the operating data of the unit and continuously optimized in real ***,Bidirectional Long Short-Term Memory combined with Convolutional Neural Network and Attention Mechanism is utilized to build the dynamic model of bed temperature,load,and main steam ***,a collaboration and integration method based on the critic weight method and the variation coefficient method is proposed to establish data-knowledge-driven model of key operating parameters for SCFB *** model displays great accuracy and fitting ability compared with other methods and effectively captures the dynamic characteristics,which can provide a research basis for the design of intelligent flexible control mode of SCFB unit.
This paper investigates the pursuit-evasion problem involving one evader and multiple pursuers with limited sensing capability, where the evader tries to maximize the distance with the pursuers, while the pursuers hav...
This paper investigates the pursuit-evasion problem involving one evader and multiple pursuers with limited sensing capability, where the evader tries to maximize the distance with the pursuers, while the pursuers have different objectives based on whether they can receive the information of the evader. The subgroup of pursuers who can observe the evader(called leaders) tries to be close to the evader, and the other subgroup of pursuers(called followers) tries to synchronize with their neighbors. When the subgraph formed by all leaders is complete, sufficient conditions are given to guarantee that the pursuers capture the evader and the pursuit-evasion game composed of the evader and leaders reaches Nash equilibrium. Furthermore, for the incomplete subgraph case, the distributed observers are proposed to estimate the relative positions between the evader and all leaders. It is shown that the distributed control strategy based on the observers converges exponentially to the Nash equilibrium solution, and makes the pursuers capture the evader. Finally, simulation examples are provided to verify the effectiveness of the proposed strategies.
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