The profit of a factory can be improved by reusing the discarded components produced. This paper is based on the case of a manufacturing process where rectangular metallic sheets of different sizes are produced. Using...
The profit of a factory can be improved by reusing the discarded components produced. This paper is based on the case of a manufacturing process where rectangular metallic sheets of different sizes are produced. Using an artificial vision system, the shapes and the sizes of the produced parts can be determined. Those sheets which do not respect the requirements imposed are labeled as discarded. Instead of throwing these parts, a decision algorithm can analyze if another metallic sheet with smaller dimensions can be obtained from these. Two methods of decision are presented in this paper, considering the restriction that the sides of the new sheet has to be parallel with the axis of the coordinate system. The coordinates of each new part obtained from a discarded sheet are computed in order to be delivered to a milling machine. Details about implementing these algorithms (image processing and decision respectively) in the MATLAB environment using Image Processing Toolbox are given.
The correct determination of the shelf mass including content is very important for the proper function of a universal shelf stacker (USS) drives life and construction USS so that these elements were not overloaded. W...
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In this paper, we propose a design method of average state Kalman filters for networked linear systems with stochastic noises. The average state Kalman filter is a low-dimensional estimator capturing the average behav...
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ISBN:
(纸本)9781467371605
In this paper, we propose a design method of average state Kalman filters for networked linear systems with stochastic noises. The average state Kalman filter is a low-dimensional estimator capturing the average behavior of systems from a macroscopic point of view. In general, it is nontrivial to find a set of states that captures the average behavior of systems. To overcome this difficulty, using the notion of clustering, we devise a systematic design procedure of average state Kalman filters while determining states that capture the average behavior of systems. Furthermore, deriving a tractable representation of the estimation error system, we derive an estimation error bound for the proposed method in a theoretical way. The efficiency of the proposed method is shown by a power system example in smart grid applications.
This paper considers the synthesis of tracking control laws for discrete-time linear systems. A two-step approach that results in a sequence of quadratic contractive sets is proposed. Firstly, the quadratic sets are o...
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ISBN:
(纸本)9781467371605
This paper considers the synthesis of tracking control laws for discrete-time linear systems. A two-step approach that results in a sequence of quadratic contractive sets is proposed. Firstly, the quadratic sets are obtained by maximizing the size of the sets. Then, secondly, a conic partition is employed to construct continuous conewise linear control laws for each quadratic set while optimizing performance. Furthermore, a set-theoretic method is employed to extend the stabilizing law for the tracking control problem. As a result it yields scalable off-line computation of the control law. Moreover, this approach provides stability guarantees and constraints satisfaction. The effectiveness of the approach is demonstrated using an illustrative example.
The paper deals with the optimal control (extremum seeking algorithm) of an anaerobic digestion process. It uses a simplified version of the anaerobic digester model. Three cases of optimization criteria are considere...
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The paper deals with the optimal control (extremum seeking algorithm) of an anaerobic digestion process. It uses a simplified version of the anaerobic digester model. Three cases of optimization criteria are considered taking into account the quality variable of the process: 1. the methane quantity in gaseous form, 2. the level of pollutants (it is expressed as the difference between the influent substrate and the substrate quantities accumulated in the digester) and 3. an aggregated quality variable resulted from the combination of the first two criteria. The analysis of anaerobic digestion process static characteristics shows that each characteristic reaches a point of maximum. The extremum seeking algorithm aims to keep the operating point in this point of maximum. The simulation results confirm the good behaviour of the extremum seeking algorithm.
High accuracy equalization and high power supply rejection ratio equalizer in the receiver of a high-speed serial link presented. To validate the proposed architecture, conducted experiments, for examples, with variou...
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In this paper, the problems of stabilization for interval type-2 fuzzy systems with time-varying delay and parameter uncertainties are investigated. The objective is to design an interval type-2 fuzzy controller such ...
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In this paper, the problems of stabilization for interval type-2 fuzzy systems with time-varying delay and parameter uncertainties are investigated. The objective is to design an interval type-2 fuzzy controller such that the closed-loop control system is asymptotically stable. The conditions for the existence of such a controller are delay dependent and membership function dependent in terms of linear matrix inequalities (LMIs). Based on a basic lemma, we formulate and solve the problem with more flexibility due to imperfect premise matching that the number of rules and premise membership functions are not necessary the same between the interval type-2 fuzzy model and interval type-2 fuzzy controller. A systematic approach making use of the information embedded in the lower and upper membership functions is employed to facilitate the stability analysis. A numerical example indicates the effectiveness of the derived results.
This paper discusses an online dynamic motion generation scheme for nonprehensile object manipulation by using a set of predefined motions and a trajectory deformation algorithm capable of incorporating positional and...
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ISBN:
(纸本)9781479969241
This paper discusses an online dynamic motion generation scheme for nonprehensile object manipulation by using a set of predefined motions and a trajectory deformation algorithm capable of incorporating positional and velocity boundary constraints. By creating optimal trajectories offline and deforming them online, computational complexity during execution is reduced considerably. As tight convex hulls of the deformed trajectories can be found, possible obstacles or workspace boundaries can be circumnavigated precisely without collision. The approach is verified through experiments on an inclined planar air-table for volleyball scenario using two 3-DoF robots.
We present a new output control approach for a linear plant with input delay and an unknown multiharmonic disturbance acting on the input and the output. To solve this problem, we combine the well-known predictor feed...
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