In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the curr...
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In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.
Accurate heading control is the premise for underwater vehicles to complete underwater operations. In order to improve the performance of heading control, this paper proposes a heading control strategy based on PID-fu...
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The main focus point of this research is the analysis of the computational methods used for Water Quality Index (WQI) calculation using a real-time measurement System. For the calculations, a prototype of a cheap IoT ...
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ISBN:
(数字)9798350387568
ISBN:
(纸本)9798350387575
The main focus point of this research is the analysis of the computational methods used for Water Quality Index (WQI) calculation using a real-time measurement System. For the calculations, a prototype of a cheap IoT system for measuring surface water quality has been used. The monitoring system incorporates sensors for temperature, turbidity (NTU), and pH. These parameters are measured through probes submerged directly into the water sample. The probes are connected to an Arduino Uno microcontroller, and through Bluetooth wireless communication, the measured data is transferred to a mobile device and displayed on an application. Also, the measured data are saved on a personal computer for their further processing. The collected data from the IoT system is calculated and presented in real time. Using real-time monitoring we can get instant information for the possible water contamination.
This article investigates an adaptive bipartite consensus tracking control algorithm for a class of heterogeneous nonaffine nonlinear multiagent systems (MASs) with prescribed finite-time tracking performance under an...
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In substations, violations such as smoking may lead to equipment damage and even threaten the safety of personnel. In this paper, a GhostNetV2-YOLOv5 based algorithm for detecting smoking by substation personnel is pr...
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Energy management system (EMS) is an important tool for energy efficiency and reliability of the power system. The optimal power dispatch of energy resources can be obtained using the nonlinear model predictive contro...
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Most advanced control methods require a sufficiently accurate model of the system to be controlled. These models are becoming increasingly difficult to generate due to the increasing complexity of the underlying syste...
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In this study, we investigated the validity of using a two-dimensional gait analysis system, which employed industrial cameras and a custom-developed Inertial Measurement Unit system, compared to the gold standard thr...
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Models resulting from the application of the finite element method (FEM) are usually high dimensional, thus in general preventing the application of optimal control concepts under real-time conditions. In this work a ...
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Models resulting from the application of the finite element method (FEM) are usually high dimensional, thus in general preventing the application of optimal control concepts under real-time conditions. In this work a system consisting of the heat equation defined on a 3-dimensional domain with local in-domain thermal actuators is considered, whose modeling results in a coupled PDE-ODE description. Based on simulation data, a data driven reduced order model is determined using the Dynamic Mode Decomposition with control (DMDc). Based on the DMDc model a model predictive control (MPC) approach with state estimator is developed to realize a desired temperture profile on the given domain. The concept is evaluated involving the high-dimensional finite element model as plant model.
This paper deals with the magnet position estimation based on the measurements from multiple Hall sensors. Estimation of the position is obtained from trained artificial neural networks. Data are gathered using a cust...
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ISBN:
(数字)9798350386998
ISBN:
(纸本)9798350387001
This paper deals with the magnet position estimation based on the measurements from multiple Hall sensors. Estimation of the position is obtained from trained artificial neural networks. Data are gathered using a custom sensor board that has eight three-axis Hall sensors on it, and correlation between magnetic field and position was determined to be able to estimate position in X and Y directions. First measurements were made to determine the optimal height of the magnet for later data gathering. The outcome of the research was evaluated by comparing the ground truth with the estimated values of the best-trained network to determine the error of estimation. Precise measurement of the position of the magnet is intended to be used for the development of a tactile sensor that estimates the contact force through the displacement of the magnet in the deformable layer.
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