The article deals with some problems that can occur in systems with actuator saturation and describes the different nature of such problems when process is stable and unstable. The article is oriented towards practici...
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Paper describes open source online course delivery system infrastructure and explains how it operates. Description is tailored towards non-technical audience, educators and education managers. Key components of a netw...
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Artificial realization of an adaptive expert knowledge database for the sleep data from clinics was investigated. The ultimate purpose is to develop automatic sleep stage determination technique for variable cases of ...
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The applications of the virtual space become more popular. In some cases, the experiments in real space require huge time and huge costs. For such cases, experiments in the virtual space are applied. We have developed...
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The applications of the virtual space become more popular. In some cases, the experiments in real space require huge time and huge costs. For such cases, experiments in the virtual space are applied. We have developed virtual space system for learning of autonomous robot controlled with visual information in OpenGL space. The purpose of this study is to develop the more realistic virtual space which can compensate the difference between real space and virtual space. For this purpose, we introduced the texture mapping to the object in virtual space and the additional virtual sensors which can use for controlling the robot. We made some experiments of autonomous robots controlled by SOM-RL algorithm and examine the effectiveness of proposed system.
In this work we focus on iterative learning control(ILC) design for tracking iteration-varying reference trajectories that are generated by high-order internal models(HOIM).An HOIM can be formulated as a polynomial op...
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In this work we focus on iterative learning control(ILC) design for tracking iteration-varying reference trajectories that are generated by high-order internal models(HOIM).An HOIM can be formulated as a polynomial operator between consecutive iterations to describe the changes of desired trajectories in the iteration *** classical ILC for tracking iteration-invariant reference trajectories, on the other hand,is a special case of HOIM where the polynomial renders to a unity coefficient or a special first order internal *** inserting the HOIM into P-type ILC, the tracking performance along the iteration axis is investigated for a class of continuoustime nonlinear *** of conventional time-weighted norm method guarantees validity of proposed algorithm in a sense of data-driven control.
A periodic adaptive control approach is proposed for a class of discrete-time parametric-strict-feedback systems with unknown periodic coefficients which include the control *** the information of the past few periods...
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A periodic adaptive control approach is proposed for a class of discrete-time parametric-strict-feedback systems with unknown periodic coefficients which include the control *** the information of the past few periods, the proposed adaptive controller updates the parameters periodically in a pointwise manner over one entire *** means of backstepping design and through rigorous derivation, we show that the proposed controller guarantees the boundedness of all the closed-loop signals, and achieves the asymptotic tracking *** the end, an illustrative example is presented.
In this paper, we propose a new iterative learning control(ILC) scheme, which is devoted to dealing with unknown parameters that are both time varying and iteration *** particular, we consider iteration-varying parame...
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In this paper, we propose a new iterative learning control(ILC) scheme, which is devoted to dealing with unknown parameters that are both time varying and iteration *** particular, we consider iteration-varying parameters that are generated by a second-order internal model. By incorporating the internal model into the parametric learning law, the ILC scheme can handle more generic nonlinear systems and more generic parametric uncertainties, comparing with existing ILC schemes that are first order in essence. We further explore the conditions under which the new ILC scheme can guarantee learning convergence. Utilizing the information of previous two iterations and the method of composite energy function(CEF),we are able to derive pointwise convergence along the time axis and asymptotic convergence along the iteration axis.
The basis of the e-learning system used in most educational institutions is a character representation by a web browser. This has caused a decrease in usability. It's user interface is not easy for beginners. Ther...
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ISBN:
(纸本)9781424455430;9780769538730
The basis of the e-learning system used in most educational institutions is a character representation by a web browser. This has caused a decrease in usability. It's user interface is not easy for beginners. Therefore, the user comes to have to study the manner of operation of the system before original study. This paper proposes the GI (Gesture Interface) as an operation method for e-learning system. Users can operate e-learning system viscerally by using GI. We have implemented and evaluated some gestures for object based e-learning system that has made on Adobe Flash. This system recognizes two positions and motions of user's fingers from an USB web camera. This allows users to give the system several gestures.
In this paper, a coal type selection method for a coal fired boiler in a thermal power station is proposed. Combustion of coal and fusibility of fly ash are evaluated by using coal and fly ash properties. Combustion s...
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In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic slee...
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