A nonlinear observer for a general class of single-output nonlinear systems is proposed based on a generalized dynamic recurrent neural network (DRNN). The neural network (NN) weights in the observer are tuned online,...
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A nonlinear observer for a general class of single-output nonlinear systems is proposed based on a generalized dynamic recurrent neural network (DRNN). The neural network (NN) weights in the observer are tuned online, with no off-line learning phase required. The observer stability and boundness of the state estimates and NN weights are proven. No exact knowledge of the nonlinear function in the observed system is required. Furthermore, no linearity with respect to the unknown system parameters is assumed. The proposed DRNN observer can be considered as a universal and reusable nonlinear observer because the same observer can be applied to any system in the class of nonlinear systems.
A compliance-governed (redundant) manipulator is the main subject of the article, and its global quasi-static behaviors are studied. To implement those behaviors in an actual manipulator, mathematical compliance parad...
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The classical Bayesian decision theory and the hypothesis testing for processing distributed decision fusion problems have an important shortcoming-lack of flexibility. In other words, they can not discriminate uncert...
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The classical Bayesian decision theory and the hypothesis testing for processing distributed decision fusion problems have an important shortcoming-lack of flexibility. In other words, they can not discriminate uncertainty and ignorance. The Dempster-Shafer (DS) theory overcomes this shortcoming, but its mathematical basis, the axiomatic definition of evidence is not very rigorous. Therefore, a perfect, reliable, and general method of statistical decision and evidence combination is demanded. In this respect, Thomopoulos presented a generalized evidence processing (GEP) method, based on Bayesian theory and DS theory. This paper presents a new strategy for statistical decision and evidence combination-the double bound testing (DBT). Compared with GEP, DBT not only increases the flexibility of decision, but also presents a sound mathematical basis and an explicit concept.
In the suburb of Patras, Rion on 7-8 April, the European Intelligent Manufacturing Systems (IMS) Information Event took place, in the form of a symposium. The symposium was organized, as part of the IMS series of diss...
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In the suburb of Patras, Rion on 7-8 April, the European Intelligent Manufacturing Systems (IMS) Information Event took place, in the form of a symposium. The symposium was organized, as part of the IMS series of dissemination events, by the EC after the completion of the two-year feasibility study. The main objective of the event was the presentation of the results of each test case and of the feasibility study in general. Interactive sessions were organized to discuss the experience of international cooperation. The symposium was coorganized with the University of Patras.
This paper addresses the problem of optimum shape design of flexible manipulators that maximizes the fundamental frequency of vibration under a specified total weight constraint, Successive iteration schemes are devel...
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This paper addresses the problem of optimum shape design of flexible manipulators that maximizes the fundamental frequency of vibration under a specified total weight constraint, Successive iteration schemes are developed to solve the unconstrained optimum shape design problem analytically using the variational approach, while nonlinear programming methods are used to solve the constrained optimum shape design problem numerically using the optimization approach. In addition, since the tip load greatly influences the optimum frequency of a flexible arm and it is unavoidable for the arm to handle multiple tip loads, a minimax design method is proposed to construct the optimum shape under a finite range of tip loads, It is shown that the fundamental frequency of a flexible manipulator can be increased substantially through the optimum tapering of the cross section of its link, For example, numerical analysis indicates that, depending on the values of hub inertia and tip load, an increment from 149.76% to 642.31% in the fundamental frequency can be achieved for manipulators with links of geometrically similar cross sections, The results of this paper suggest a practical method of building flexible manipulators which can move faster under a given weight without causing serious vibration problems, thereby increasing productivity.
作者:
KIM, JHCHO, HSCenter for Robotics and Automation
Department of Precision Engineering and Mechatronics Korea Advanced Institute of Science and Technology 373-1 Kusong-dong Yusong-gu Taejon 305-701 Korea
In this paper, we describe an approach to inspection of solder joints on printed circuit boards by using a circular illumination technique and a neural network classifier. The illumination technique, consisting of thr...
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In this paper, we describe an approach to inspection of solder joints on printed circuit boards by using a circular illumination technique and a neural network classifier. The illumination technique, consisting of three tiered circular colour lamps and one colour camera, gives good visual cues to infer 3D shape of the solder joint surface. A general aspect of this inspection is that the shape of the solder joint tends to greatly vary according to soldering conditions. Due to this, a neural network classifier based on a supervised version of Kohonen learning vector quantization (LVQ) is proposed to automatically and efficiently make classification criteria of the solder joint shapes according to their quality. The practical feasibility of the proposed approach is demonstrated by building a prototype inspection machine and testing its performance.
Petri nets have proven to be a valuable model for discrete event dynamic systems, especially automated manufacturing systems. To model uncertainty within this representation approach, stochastic Petri nets have been d...
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Petri nets have proven to be a valuable model for discrete event dynamic systems, especially automated manufacturing systems. To model uncertainty within this representation approach, stochastic Petri nets have been developed. They suffer, however, from dimensionality explosion when it is attempted to model large real-world systems. There have been approaches based on the equivalent Markov chain, which is either solved through aggregation or through its singular perturbation treatment a reduced net is produced. We propose a method here to reduce directly the stochastic Petri net
This paper proposes a new method of estimating the position and heading angle of a mobile robot moving on a flat surface. The proposed localization method utilizes two passive beacons and a single rotating ultrasonic ...
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This paper proposes a new method of estimating the position and heading angle of a mobile robot moving on a flat surface. The proposed localization method utilizes two passive beacons and a single rotating ultrasonic sensor. The passive beacons consist of two cylinders with different diameters and reflect the ultrasonic pulses coming from the sonar sensor mounted on the mobile robot. The sonar sensor, again, mounted on a pan-tilt device then receives the reflected pulses while scanning over a wide area. The geometric parameter set of beacon is acquired from the sonar scan data obtained at a single mobile robot location using a new data processing algorithm. The presented algorithm is especially suitable for processing the sonar scan data obtained by ultrasonic sensor with wide beam spread. From this parameter set, the position and heading angle of the mobile robot is determined directly. The performance and validity of the proposed method are evaluated using two beacons and a single sonar sensor attached at the pan-tilt device mounted on a mobile robot, named LCAR, in our laboratory.
In this paper, a new method of design of position/force controller for robots with parametric uncertainty is presented. An adaptive control scheme is proposed for constrained robot motion control. The proposed control...
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In this paper, a new method of design of position/force controller for robots with parametric uncertainty is presented. An adaptive control scheme is proposed for constrained robot motion control. The proposed control scheme possesses an important practical feature: under the suggested controller, position, velocity, acceleration and force errors converge to zero without requiring measurements or estimates of acceleration and force derivative. Computer simulation results are also presented for illustration.
The field of environmentally conscious design and manufacturing has focused primarily on internal functions and activities within an organization. However, external enterprise practices and relationships are of equal ...
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The field of environmentally conscious design and manufacturing has focused primarily on internal functions and activities within an organization. However, external enterprise practices and relationships are of equal concern and often overlooked. External relationships serve as links in the development of a closed loop industrial ecosystem and are an integral part of supply chain management and environmental management strategy. This paper identifies emerging and potential research and development issues within supply chain management and the industrial ecosystem.
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