Resource management in nowadays agriculture imposes the use of new technological solutions for automation and energy efficiency and this paper concentrates on the control of internal temperature of a greenhouse using ...
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Resource management in nowadays agriculture imposes the use of new technological solutions for automation and energy efficiency and this paper concentrates on the control of internal temperature of a greenhouse using parabolic trough collectors (GHPTC) for internal heating. The actuator for the GHPTC control system is the conducting fluid pump that enables the liquid flow into the collector pipes. Both the nonlinear and linear models are presented in the paper in order to tune a classical controller. A comparison of controller performances (stationary and transient) was conducted by simulation, using Matlab/Simulink software. Also, the gradient descent method was applied for an optimal tuning of the temperature controller, imposing minimum overshoot.
In allocation problems, a given set of goods are assigned to agents in such a way that the social welfare is maximized, that is, the largest possible global worth is achieved. When goods are indivisible, it is possibl...
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In allocation problems, a given set of goods are assigned to agents in such a way that the social welfare is maximized, that is, the largest possible global worth is achieved. When goods are indivisible, it is possible to use money compensation to perform a fair allocation taking into account the actual contribution of all agents to the social welfare. Coalitional games provide a formal mathematical framework to model such problems, in particular the Shapley value is a solution concept widely used for assigning worths to agents in a fair way. Unfortunately, computing this value is a #P-hard problem, so that applying this good theoretical notion is often quite difficult in real-world problems. In this paper, we first review the application of the Shapley value to an allocation problem that models the evaluation of the Italian research structures with a procedure known as VQR. For large universities, the problem involves thousands of agents and goods (here, researchers and their research products). We then describe some useful properties that allow us to greatly simplify many such large instances. Moreover, we propose new algorithms for computing lower bounds and upper bounds of the Shapley value, which in some cases provide the exact result and that can be combined with approximation algorithms. The proposed techniques have been tested on large real-world instances of the VQR research evaluation problem.
Aiming at the uncertainty of the degradation procedure of a complex multi-component system in a time-varying environment and the influence of the random dependence between different components, a remaining useful life...
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This study showcases a low-resource framework that enables people with no technical know-how to interact with drones, it also explores the capabilities of 2D- computer vision and deep learning techniques for gesture b...
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A mobile robot with various types of sensors via ubiquitous networks is introduced. We designed a mobile robot composed of TCP/IP network, wireless camera and several sensors in an environment, and show object avoidin...
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In this paper, a hierarchical multirate control scheme for nonlinear discrete-time systems is proposed, composed of a robust model predictive controller (MPC) and a multirate integral sliding mode (MISM) controller. I...
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A simple algorithm for establishing the presence of points common to some singularity (hyper)surfaces associated to covariance matrices is developed. It allows, on the basis of the new algebraic and geometric properti...
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A simple algorithm for establishing the presence of points common to some singularity (hyper)surfaces associated to covariance matrices is developed. It allows, on the basis of the new algebraic and geometric properties recently given by Guidorzi (1994), the computation of the maximal number of linear relations that can be associated to a given set of data.
The paper presents constraint satisfaction problem driven approach to analytical solution of the cyclic scheduling problem in the Flexible Manufacturing System (FMS) producing multi-type parts where for material handl...
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Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizi...
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In this paper, the problem of fault estimation and localization in the connecting dynamic elements of distributed heating and cooling systems are treated. The fault represents the physical parameter change related to ...
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