The aim of the paper is to assess the feasibility of impedance measurements for meat aging detection. The carried investigations are dedicated to the aging of the meat of beef. An investigation was carried out for the...
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The aim of the paper is to assess the feasibility of impedance measurements for meat aging detection. The carried investigations are dedicated to the aging of the meat of beef. An investigation was carried out for the detection of the age of meat using 2 cases of storage in the fridge, unpacked meat, exposed in the air of the fridge (Up) and vacuum-packed meat, conserved in closed box (Vp). The measurements show a depressed semicircle in the admittance plane similar to the equivalent circuit consisting of a combination of a Constant Phase Element (CPE) and two resistors. The resistance R E various is directly proportional to meat volume resistivity. The volume resistivity is constant for Vp meat, this is due to the conservation of the same situation in the surface of contact with the electrode, this situation change for the Up meat, the volume resistivity is increasing in a linear way because the surface of contact with electrode become more dry over time. The change due to R ct is inversely proportional to the factor number of electrons involved and exchange current. The factor n.i 0 decreases over time for the Up meat, This is consistent because when the meat becomes drier, the loss of liquids causes the decrease of conductivity and proportionally the decrease of the number of electrons involved and the exchange current. For the second case (Vp), the humidity causes the decrease of the number of electrons involved and the exchange current. The impedance is inversely proportional to the double layer capacitance that is consistent with the experiments. The impedance increase for the Up meat and decrease in the second case. The change due to Cdl is directly proportional to the change of meat permittivity ε r .
We develop new control approach to position synchronization of lagrangian systems based on emergent consenus algorithms. The proposed control approach works to accomplish multi-robot systems synchronization. The contr...
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We develop new control approach to position synchronization of lagrangian systems based on emergent consenus algorithms. The proposed control approach works to accomplish multi-robot systems synchronization. The control strategy is to synchronize the angular position and the velocity of each robot in the group. The cooperative strategy only requires local neighbor-to-neighbor information exchange between systems and does not assume the existence of an explicit leader in the team. A combination of the lyapunov-based techniques and graph theory have been used to establish the multi-robot system asymptotic stability. The developed control combines trajectory tracking and coordination algorithms. To address the time delays problem in the cooperative network communication, the suggested synchronization control law is shown to synchronize multiple robots as well as to track given trajectory, taking into account the presence of the time delay. To this end, Krasovskii functional method has been used to deal with the delay-dependent stability problem.
There are many areas where objects with very complex and sometimes interdependent features are to be classified; similarities and dissimilarities are to be evaluated. This makes a complex decision model difficult to c...
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There are many areas where objects with very complex and sometimes interdependent features are to be classified; similarities and dissimilarities are to be evaluated. This makes a complex decision model difficult to construct effectively. This paper presents a Hierarchical Fuzzy Signatures (HFS) approach for improving the effectiveness and efficiency of quality-management system (QMS). The goal is to classify the objectives for a real-world case study. The latter was chosen because it presents a major problem for controlling the quality levels of its production lines. With the use of this fuzzy signature structure, complex decision models in the quality management field should be able to be constructed more effectively. In fact, this study provides a path for designing a tool for decision support to ensure the effectiveness of a corporate QMS.
In this paper we investigate the leader follower motion coordination of multiple nonholonomic mobile robots. A combination of the virtual vehicle and trajectory tracking approach is used to derive the formation archit...
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In this paper we investigate the leader follower motion coordination of multiple nonholonomic mobile robots. A combination of the virtual vehicle and trajectory tracking approach is used to derive the formation architecture. A virtual vehicle is steered in such away it stabilizes to a shifted reference position/heading deflned by the leader, the velocity of the virtual vehicle is then provided for further use in designing control law for the follower independent from the measurement of leader's velocity. Position tracking control is then constructed for the follower to track the virtual vehicle using the backstepping and Lyapunov direct design technique. Simulations are provided to show the effectiveness of the proposed approach.
Autonomous vehicle navigation requires the integration of many technologies such as path tracking. In path tracking design, we must take into account the dynamic of actuators in order to reduce overshoots appearing fo...
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ISBN:
(纸本)9781457704130
Autonomous vehicle navigation requires the integration of many technologies such as path tracking. In path tracking design, we must take into account the dynamic of actuators in order to reduce overshoots appearing for small displacements. It permits the generation of an optimal movement reference-input giving a minimum path completion time, taking into consideration the maximum velocity, acceleration and jerk, and the bandwidth of the closed-loop on which the input is applied. Different methods were studied. The work presented here focuses on the fractional differentiation prefilter applied to nonvarying plants. A new approach to path tracking using fractional differentiation by direct optimization of an I/O transfer function was developed. Fractional differentiation is used here through a Davidson-Cole filter (DC) whose main property is having no overshoot on the plant output, whatever the values of its constitutive parameters. A simulation on a motor model validates the methodology.
In this paper wavelet decomposition is combined with autoregressive models to analyze and predict climate time series such as solar radiation and photovoltaic cell temperature. The method is tested on climate paramete...
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ISBN:
(纸本)9781457704130
In this paper wavelet decomposition is combined with autoregressive models to analyze and predict climate time series such as solar radiation and photovoltaic cell temperature. The method is tested on climate parameters for analysis, and solar radiation and cell temperature for prediction. The work effectiveness is evaluated by the prediction of the electric energy produced by a 100 Wp photovoltaic panel. Finally, the performance of predictor is measured by standardized error.
In this paper, an adaptive backstepping method is used for a ship course tracking control. This has been done by applying a reference signal derived from a LOS algorithm. The ship model is described by a third order n...
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In this paper, a method of designing a nonlinear predictive controller based on a fuzzy model of the system is presented. The Takagi-Sugeno fuzzy model is used as a powerful structure for representing nonlinear dynami...
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In this paper, a method of designing a nonlinear predictive controller based on a fuzzy model of the system is presented. The Takagi-Sugeno fuzzy model is used as a powerful structure for representing nonlinear dynamic systems. So, the strategy of the fuzzy predictive control based on a fuzzy Takagi-Sugeno model is applied to the control of a chemical reactor. Indeed, the work is consists to develop, in a first step, a fuzzy model from a merger of a number of local models obtained by the principle of linearization around an operating point, or by learning through the gradient algorithm. In a second stage and basis on local models already developed, a fuzzy predictive control is synthesized with different approaches. The principal aim is to apply local generalized predictive control.
This paper deals with the problem of neural modeling of nonlinear systems. In a first place, we will discuss the neural modeling process. The approach adopted of neural modeling will be presented in a second place; th...
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This paper deals with the problem of neural modeling of nonlinear systems. In a first place, we will discuss the neural modeling process. The approach adopted of neural modeling will be presented in a second place; this method is based on mono-network neural modeling and multi-network neural modeling. The results of simulation obtained will be illustrated by a nonlinear system of second order and by a chemical process.
In this paper, we have proposed a new architecture of RBFNN. Neural network efficiency in embedded systems offers the possibility of reconfiguration and the genericity of the solution. Indeed, the same integrated syst...
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In this paper, we have proposed a new architecture of RBFNN. Neural network efficiency in embedded systems offers the possibility of reconfiguration and the genericity of the solution. Indeed, the same integrated system can approximate any input-output function thanks to the parameters update on the chip. RBF neural networks constitute a subset of the neuronal networks, which has a great potential in reducing the size of the network. Pulse mode neural networks reduce significantly hardware resources by replacing the conventional huge multiplier by a simple frequency multiplier. As application, we approximate with the proposed RBF network, a Canny operator based edge detection, which is an important step in image processing. Acceptable edge detection approximation was done, with a mean generalization error of (4,604 %) on the Wang image database. Moreover, a design synthesis on FPGA virtex V platform was done, the results of implementation lead to an operating frequency of 445,295 MHz, which offers real time application performances.
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