This paper addresses the experimental study on mapping multiple odor sources using the proposed algorithm based on Dempster-Shafer (D-S) theory in outdoor environments where the airflow almost always be strong and cha...
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This paper addresses the experimental study on mapping multiple odor sources using the proposed algorithm based on Dempster-Shafer (D-S) theory in outdoor environments where the airflow almost always be strong and change with time both in direction and speed. In the proposed algorithm, by using the time series of the measurements from an anemometer and twelve gas sensors, the robot estimates the air-mass path to compute the belief mass function, and iteratively updates a grid map with D-S inference at each time step, mapping the distribution of two odor sources when the robot is cruising in the given search area. Here the air-mass path is defined as the historical trajectory most likely taken by the air mass contacting with the gas sensor mounted on the mobile robot, and an air mass might contain odor molecules, or just be a mass of clean air. In the grid map, each cell has two possible states, being occupied by an odor source, or not. In order to cut the calculation of the proposed algorithm, only the cells covered by the estimated air-mass path are updated. Experiments were carried out in outdoor nature environments, and the results illustrate that the proposed algorithm based on D-S theory can be applied to map multiple odor sources online.
A method for optimal sizing of hybrid system consisting of a Photovoltaic (PV) panel, diesel generator, Battery banks and load is considered in this paper. To this end a novel approach is proposed. More precisely a me...
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ISBN:
(纸本)9781509015948
A method for optimal sizing of hybrid system consisting of a Photovoltaic (PV) panel, diesel generator, Battery banks and load is considered in this paper. To this end a novel approach is proposed. More precisely a methodology for the design and simulation of the behavior of Hybrid system PV-Diesel-Battery banks to electrify an isolated rural site in southern Algeria Illizi (djanet). This methodology is based on the concept of the loss power supply probability (LPSP). Sizing and simulation are performed using MATLAB. The techno-economic study shows the performances of the proposed approach.
This paper addresses the problem of robust stabilization for uncertain systems subject to input saturation and nonhomogeneous Markov *** uncertainties are assumed to be norm bounded and the transition probabilities ar...
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ISBN:
(纸本)9781467397155
This paper addresses the problem of robust stabilization for uncertain systems subject to input saturation and nonhomogeneous Markov *** uncertainties are assumed to be norm bounded and the transition probabilities are time-varying and *** expressing the saturated linear feedback law on a convex hull of a group of auxiliary linear feedback laws and the time-varying transition probabilities inside a polytope,we establish conditions under which the closed-loop system is asymptotically *** on these conditions,the problem of designing the state feedback gains for achieving fast transience response with a guaranteed size of the domain of attraction is formulated and solved as a constrained optimization problem with linear matrix inequality(LMI) *** results are then illustrated by a numerical example.
Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical ...
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Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life
To address large scale industrial processes,a novel Lagrangian scheme is proposed to decompose a refinery scheduling problem with operational transitions in mode switching into a production subproblem and a blending a...
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To address large scale industrial processes,a novel Lagrangian scheme is proposed to decompose a refinery scheduling problem with operational transitions in mode switching into a production subproblem and a blending and delivery *** accelerate the convergence of Lagrange multipliers,some auxiliary constraints are added in the blending and delivery subproblem.A speed-up scheme is presented to increase the efficiency for solving the production *** initialization scheme of Lagrange multipliers and a heuristic algorithm to find feasible solutions are *** results on three cases with different lengths of time horizons and different numbers of orders show that the proposed Lagrangian scheme is effective and efficient.
This paper proposes two different approaches to the problem of modelling the key performance indicators (KPIs) in a hot strip mill process (HSMP). The first approach takes into consideration the inherent dynamics of t...
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A method of spatio-temporal data association processing based on FMCW radar in blast furnace was proposed in this paper. First, model-categories of basic stock-line profile through mining information of process of pro...
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ISBN:
(纸本)9781467374439
A method of spatio-temporal data association processing based on FMCW radar in blast furnace was proposed in this paper. First, model-categories of basic stock-line profile through mining information of process of production are established. Next, predicting measured value on the basis of historical observations and associating with model category of basic stock-line shape-changing using grey relation algorithm, which acquires the expected distribution values. Finally, Welch FFT and peak-searching method of FT continuous spectrum are researched in the calculation of center distance. Simulation results indicate that the proposed method reduces the average rate of outliers from 13% to 4%, and the matching rate of fitting stock-line associating with prior model class library increases from 68% to 87%, compared with traditional interpolation fitting of direct measurement, which guides the operation of blast furnace charging reasonably.
A method of spatio-temporal data association processing based on FMCW radar in blast furnace was proposed in this paper. First, model-categories of basic stock-line profile through mining information of process of pro...
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This paper studies a sophisticated robust model predictive control(RMPC) design for linear parameter varying(LPV)systems with the varying parameter unmeasurable. Based on a mixed multi-step feedback control, a sophist...
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ISBN:
(纸本)9781467374439
This paper studies a sophisticated robust model predictive control(RMPC) design for linear parameter varying(LPV)systems with the varying parameter unmeasurable. Based on a mixed multi-step feedback control, a sophisticated control design which utilizes both multi-step control sets and parameter-dependent feedback control is developed to introduce more freedom and thus reduces the conservativeness. The proposed method achieves good control performance with guaranteed robust and stability properties, which is verified by simulation examples.
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