The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are...
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The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are revolutionizing mining through robotic and data-driven innovations[4]-[7].While AI offers mining industry advantages,it is crucial to acknowledge the potential risks associated with its widespread ***-reliance on AI may lead to a loss of human control over mining operations in the future,resulting in unpredictable consequences.
With the rapid development of depth sensors, RGB-D data has become much more accessible. Scene flow is one of the fundamental ways to understand the dynamic content in RGB-D image sequences. Traditional approaches est...
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This article describes a technique that allows a photovoltaic (PV) production unit to obtain the maximum power at all times. Here, we use the MPPT control via fuzzy logic on a DC/DC boost-type converter. In order to a...
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This article describes a technique that allows a photovoltaic (PV) production unit to obtain the maximum power at all times. Here, we use the MPPT control via fuzzy logic on a DC/DC boost-type converter. In order to achieve our goals, we first proceeded to model a PV panel. The resulting model offers the possibility to better account for the influence of different physical quantities such as temperature, irradiation, series resistance, shunt resistance and diode saturation current. Thus, the maximum power to be provided by the PV system is acquired by fuzzification and defuzzification of the input and output variables of the converter. Subsequently, a virtual model of an 800 Watt PV prototype is implemented in the Matlab environment. The simulation results obtained and presented, show the feasibility and efficiency of the proposed technology. Indeed, for a disturbance caused by a variation in brightness, our system guarantees the maximum stable power after 1.4s. While for a load variation, the maximum power is continuous.
The context of objects can provide auxiliary discrimination beyond objects. However, this effective information has not been fully explored. In this paper, we propose Tri-level Combination for Image Representation (Tr...
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Mutation analysis is widely employed to evaluate the effectiveness of various software testing techniques. In most situations, mutation operators are uniformly applied to the original programs, while the faults tend t...
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In this paper, we study the problem of trajectory tracking control for autonomous marines vehicles using robust sliding-mode controller. The proposed algorithm achieves good tracking performance of marine vehicle in t...
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ISBN:
(数字)9781728188157
ISBN:
(纸本)9781728188164
In this paper, we study the problem of trajectory tracking control for autonomous marines vehicles using robust sliding-mode controller. The proposed algorithm achieves good tracking performance of marine vehicle in the open sea in which there exist severe environmental disturbances and unknowns dynamic parameters. First, the dynamic model in task space of the marine vehicle system in horizontal motion is designed. By using position and velocity tracking errors, a robust controller is then developed based on a linear sliding-mode surface. The designed algorithm is chattering free due to hyperbolic tangent function in switching part. Based on the Lyapunov theorem, the stability in closed-loop system is guaranteed and the convergence of the position and velocity tracking errors are obtained. In addition, the robustness of the controller is verified when disturbances and uncertainties are introduced in the system. Extensive simulations are conducted to demonstrate the validity of the proposed algorithm.
The main goal of the project is to assure a collusion-free passage through the intersection in the shortest possible traveling time. Firstly, the order of the incoming vehicle is proposed. Using the mentioned order, a...
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Magnetic nanofibers are of great interest for applications like data transport and storage as well as in basic research. Especially bent nanofibers, which can unambiguously be produced by electrospinning, show a broad...
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This paper investigates the problem of stabilization of time delay linear singular systems subject to actuator saturation. A polytopic approach is used to describe the saturation behavior. By using an augmented Lyapon...
This paper investigates the problem of stabilization of time delay linear singular systems subject to actuator saturation. A polytopic approach is used to describe the saturation behavior. By using an augmented Lyaponuv-Krasovskii functional and adopting the delay partitioning technique, less conservative sufficient conditions are established to ensure the closed loop system to be locally admissible based on a state feedback controller. In this paper, all the conditions are transformed into minimization problem involving LMI conditions by adopting the idea of the cone complementarity algorithm. A numerical example illustrates the effectiveness of the design.
A single study has addressed actuator failure reconstruction for the One-sided Lipschitz (OSL) family of nonlinear systems. The predicted fault vector in that work does not provide any insight into the underlying prob...
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ISBN:
(纸本)9781665482622
A single study has addressed actuator failure reconstruction for the One-sided Lipschitz (OSL) family of nonlinear systems. The predicted fault vector in that work does not provide any insight into the underlying problematic physical characteristics of the system, which is a significant shortcoming. In this work, we offer a way for estimating the incorrect physical parameters of actuators using an adaptive observer strategy. To demonstrate the utility of the suggested method, a numerical example and simulation research are provided.
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