The unscented transformation is known as a technique to firstly generate a set of 2n + 1 sigma points and their weights, and secondly to propagate each sigma point value through a nonlinear function, where n denotes t...
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In order to reduce the drag forces against a stream for an X4-autonomous underwater vehicle (AUV), a new type of hull shape is considered with an ellipsoid body. The associated dynamical model is derived by using a La...
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This paper considers the problem of stability analysis with an H ∞ performance for a class of production networks of autonomous work systems with delays in the capacity changes. The system under consideration shares ...
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This paper describes a newly developed JAUS-based mobile robot controller achieved through the use of an i-Mode application. JAUS is an open architecture enabling the control of multiple unmanned systems. For controll...
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ISBN:
(纸本)9781424476428
This paper describes a newly developed JAUS-based mobile robot controller achieved through the use of an i-Mode application. JAUS is an open architecture enabling the control of multiple unmanned systems. For controlling unmanned robots, we developed an i-Mode-based wireless controller that recognizes JAUS-compliant message sets suitable for simultaneous control of multiple mobile robots. The proposed JAUS controller employs an http connection device and Java programming language to avoid machine dependency as well as enable rapid software modification.
Reducing tool differences is one of the important tasks to improve the yield of semiconductor device manufacturing. Various kinds of methods have been proposed to solve this problem. These methods enable us to find pr...
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Reducing tool differences is one of the important tasks to improve the yield of semiconductor device manufacturing. Various kinds of methods have been proposed to solve this problem. These methods enable us to find problematic tools from numbers of process tools. However, finding problematic tools is not always enough to work out the problem of tools. Visualization of the transition profile of tool differences provides us additional information to help finding the unknown control parameters. It helps us to find corresponding events such as maintenance, repair, and adjustment. We design a profiling algorithm based on the maximum likelihood estimation. This algorithm introduces a new constraint that “tools are stable at each process step for a short period”, and recursively uses a regression method by employing previous results of the estimation. Simulation results show that our algorithm extracts the transition profile of tool differences more precisely than existing regression methods.
To maintain stable operation of semiconductor fabrication lines, statistical process control (SPC) methods are recognized to be effective. In semiconductor fabrication lines, there exist a huge number of process state...
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To maintain stable operation of semiconductor fabrication lines, statistical process control (SPC) methods are recognized to be effective. In semiconductor fabrication lines, there exist a huge number of process state signals to be monitored, and these signals contain both normally and non-normally distributed data, which make the application of SPC difficult. The authors have already proposed an SPC method “ESCM” which can solve these problems. However, this method has a problem that it is highly sensitive to outliers contained in the reference data. In this paper, we propose a new outlier removal method to solve this problem. This method uses the “effective standard deviation” we used in the ESCM to deal with a wide range of non-normal distributions. Basic performances of this method are demonstrated by comparing abilities to detect outliers correctly, and to mistakenly detect non-outlier data with conventional methods. In the demonstration, we use various kinds of artificially generated data and real data observed in process tools in a semiconductor fabrication line. Usefulness of this method is demonstrated by studying the effects of this method when used with ESCM.
Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a ...
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Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has been regarded as a difficult and challenging problem to machines. In this paper, we present a hierarchical annotation scheme considering that generally human s visual identification to a scenery object is a rough-to-fine hierarchical process. First, the input image is segmented into multiple regions and each segmented region is roughly labeled with a general keyword using the multi-classification support vector machine. Since the results of rough annotation affect fine annotation directly, we construct the statistical contextual relationship to revise the improper labels and improve the accuracy of rough annotation. To obtain reasonable fine annotation for those roughly classified regions, we propose an active semi-supervised expectation-maximization algorithm, which can not only find the representative pattern of each fine class but also classify the roughly labeled regions into corresponded fine classes. Finally, the contextual relationship is applied again to revise the improper fine labels. To illustrate the effectiveness of the presented approaches, a prototype image annotation system is developed, the preliminary results of which showed that the hierarchical annotation scheme is effective.
Short nap is a good relaxation way when people feel sleepy and tired during the day time. An automatic light sleep level estimation technique was presented for short nap sleep evaluation. Parameters were extracted fro...
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In this paper, redundancy resolution of a cable-driven parallel manipulator is solved by an iterative-analytic scheme. The method can be applied to all kind of redundant manipulators either parallel or serial with con...
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In this paper, redundancy resolution of a cable-driven parallel manipulator is solved by an iterative-analytic scheme. The method can be applied to all kind of redundant manipulators either parallel or serial with constraint caused through their dynamics. However, for sake of simulation the proposed method is implemented on a cable-driven redundant parallel manipulator (CDRPM). The redundancy resolution problem is formulated as a convex optimization with equality and non-equality constraints caused by manipulator structure and cables dynamics. Karush-Kuhn-Tucker theorem is used to analyze the optimization problem and to find an analytic solution. Subsequently, a tractable and iterative search algorithm is proposed to solve the redundancy resolution of such redundant mechanisms. Furthermore, it is shown through the simulation that, the elapsed time required to implement the analytical redundancy resolution scheme in a closed-loop structure is considerably less than that of other numerical optimization methods.
The control of plasma in nuclear fusion has been revealed as a promising application of controlengineering, with increasing interest in the control community during last years. In this paper it is developed a control...
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The control of plasma in nuclear fusion has been revealed as a promising application of controlengineering, with increasing interest in the control community during last years. In this paper it is developed a control-oriented linear model for the control of plasma current. For this purpose, it is provided a summary of the background necessary to deal with control problems in tokamak-based nuclear fusion reactors as it is the case of the future ITER tokamak. Besides, it is also given a review of the most used simulators and plasma models, with the aim of providing an adequate background for control engineers to derive their own control-oriented model or to choose the appropriate existing one. Finally, the proposed plasma model performance is proven in a current drive profile trajectory tracking problem using a modified anti-windup PID-based control scheme.
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