In the flexible robot domain, due to the high nonlinear characteristics of flexible robot actuators, infinite degrees of freedom in theory, and multidisciplinary integration of mechanics, electricity, chemistry, etc.,...
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The control law proposed in this study has a mathematical analytic bound used to reliably estimate the required transfer time to guarantee that the maximum thrust constraint is not violated. Favored by its analytic an...
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The control law proposed in this study has a mathematical analytic bound used to reliably estimate the required transfer time to guarantee that the maximum thrust constraint is not violated. Favored by its analytic and iteration-free nature, the transformation can be embedded into onboard guidance planning algorithms without affecting numerical efficiency and enabling an online assessment of the consequences of a bounded, continuous thrust. The resulting control law is compared against the solution of minimum-energy, minimum-time, and minimum-fuel optimal control problems in terms of propellant consumption and transfer time. Two alternative impulsive-to-continuous thrust conversion approaches are derived, and are referred to as forward and backward conversions. The approach proposed in this study makes use of third-order polynomials to shape the trajectory without iterative procedures.
This paper aims to investigate the impact of the Conservation of Voltage Reduction scheme (CVR) on a typical protection system of distribution systems (DS). CVR is an energy-saving scheme in which the bus voltages of ...
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The integrated energy system has obvious economic, energy-saving and environmental protection characteristics, and is one of the important ways to achieve the carbon peak and carbon neutral strategy. The operation mod...
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The evaluation of risky assets is one of the major research tasks in the finance theory. There are several Capital Asset Pricing Models (CAPM) in the literature;the most popular one of those is the Sharpe-Lintner-Blac...
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The evaluation of risky assets is one of the major research tasks in the finance theory. There are several Capital Asset Pricing Models (CAPM) in the literature;the most popular one of those is the Sharpe-Lintner-Black mean-variance CAPM. According to this model, the typical measure of systematic risk is the beta coefficient. The beta coefficient can be evaluated by means of least squares method (LSM), Robust Regression Techniques (RRT), or similar approaches. However, the statistical assumptions of LSM might be invalid in the existence of extreme observations in data set. In order to decrease influence on the beta coefficient of extreme observations, most analyst apply to RRT's. However, either RRT's remove the extreme observations from the data set, or decrease their influences on the beta coefficient. Whereas the omitted observations might be valuable for investors since they carry substantial information about the state of nature. In other words, there is a clash between statistical and financial theory. In this study, to overcome this incompatibility, and to take into account the extreme observations carried worthy information, a novel fuzzy regression approach is proposed. The proposed approach is based on both possibility concepts and central tendency in the estimation of beta coefficient. In application section of this paper, the beta coefficients of three assets traded in Istanbul Stock Exchange (ISE) are estimated by the proposed fuzzy approach and the traditional techniques, and then the results of analysis are compared, and discussed. (C) 2012 Elsevier Ltd. All rights reserved.
To solve the problem of mixed integer nonlinear programming in dynamic reactive power optimization of distribution networks, a two-stage dynamic reactive power optimization model is used to reduce the size of the reac...
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Vertical bladeless wind turbine looks like a huge baseball bat fixed on a handle and swaying in the wind. The vortices are created in this flow at the back of the body and periodically are separated from either side o...
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Sampling-based motion planners such as RRT* and BIT*, when applied to kinodynamic motion planning, rely on steering functions to generate time-optimal solutions connecting sampled states. Implementing exact steering f...
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The pulse width modulation (PWM) control for Lagrange systems driven by servo motors in stochastic environment is researched in this paper. Principles of PWM for stochastic nonlinear systems are proved, a continuous c...
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The pulse width modulation (PWM) control for Lagrange systems driven by servo motors in stochastic environment is researched in this paper. Principles of PWM for stochastic nonlinear systems are proved, a continuous control bounded in probability of stochastic Lagrange system is designed, and the stochastic closed-loop nonlinear programming is modeled in the same form as that in the deterministic case. Sure boundedness of the control is required as a hard constraint, and the stochastic quadratic programming problem is presented for which an analytic solution is constructed and the expression of the optimal duty ratio is obtained. Finally, the main procedures of design and implementation of the stochastic PWM are summarized, and the effectiveness of the proposed scheme is demonstrated by a simulation of articulated manipulator.& COPY;2023 Elsevier Ltd. All rights reserved.
When edge clouds are deployed at all road side unit (RSU), autonomous vehicles (AVs) can offload the tasks and receive the results of the tasks with low latency. However, too excessive deployment of edge clouds can le...
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