A systematic approach for the steady-state operation analysis of chemicalprocesses is *** method affords the possibility of taking operation resilience into consideration during thestage of process *** may serve the ...
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A systematic approach for the steady-state operation analysis of chemicalprocesses is *** method affords the possibility of taking operation resilience into consideration during thestage of process *** may serve the designer as an efficient means for the initial screening ofalternative design *** ideal heat integrated distillation column(HIDiC),without any reboileror condenser attached,is studied throughout this *** has been found that among the various va-riables concerned with the ideal HIDiC,feed thermal condition appears to be the only factor exertingsignificant influences on the interaction between the top and the bottom control *** is expected when the feed thermal condition approaches *** number of stages andheat transfer rate are essential to the system ability of disturbance ***,more stagesand higher heat transfer rate ought to be ***,too many stages and higher heat transfer ratemay increase the load of the
Presents a general methodology for the identification of average linear low order models (ALLOM) from data collected from detailed nonlinear models. While there are many methods available in the literature for identif...
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Presents a general methodology for the identification of average linear low order models (ALLOM) from data collected from detailed nonlinear models. While there are many methods available in the literature for identifying linear models, these methods tend to produce inaccurate and ill-conditioned models when used on nonlinear data sets. The method in this paper differs from traditional linearization methods in that it better approximates the dynamic characteristics over a wider area around the reference steady state.
The paper presents a subspace algorithm which identifies the process model from closed-loop data. The algorithm is based on the use of a closed-loop oblique projection for the direct identification of the plant dynami...
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The paper presents a subspace algorithm which identifies the process model from closed-loop data. The algorithm is based on the use of a closed-loop oblique projection for the direct identification of the plant dynamics. This closed-loop oblique projection is particularly useful because it eliminates the use of a minimal realization step after the identification has been performed. Similar to the open-loop algorithm, the proposed closed-loop algorithm is ideally suited for MIMO problems.
The aim of this paper is to provide an introduction to the rapidly developing field of genetic programming (GP). Particular emphasis is placed on the application of GP to engineering problem solving. First, the basic ...
The aim of this paper is to provide an introduction to the rapidly developing field of genetic programming (GP). Particular emphasis is placed on the application of GP to engineering problem solving. First, the basic methodology is introduced. This is followed by a review of applications in the areas of systems modelling, control, optimisation and scheduling, design and signal processing. The paper concludes by suggesting potential avenues of research.
As it has been observed in the behavior research, in reaching operation of animals, the hand performs a feedforward ballistic movement during which the vision system is watching only a target without seeing the hand s...
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As it has been observed in the behavior research, in reaching operation of animals, the hand performs a feedforward ballistic movement during which the vision system is watching only a target without seeing the hand simultaneously. We hypothesized that, for this, the two spaces, each of which is perceived by the eyes (eye-space) and is reached by the arm motion (arm-space) respectively, are fused into one. Human babies are supposed to gradually learn the fusion by themselves from their birth. This paper describes a self-organization of reaching operation in robots. We regarded the binocular movements as the main cue in the space perception for reaching rather than visual disparity. The eye-space as well as the arm-space is directly represented by a harmony of contractions of muscles controlling their movements. The fusion of the two spaces is obtained by a learn-by-doing manner via an interaction of the binocular and the arm movements, and is stored in a memory (CMAC) as a form of experience of these muscle contractions obtained through the interaction. During the learning process it is not necessary to know structure and parameters of robot systems at all.
Recently a new approach, called, behavior based robotics, has been proposed to overcome the difficulties of the traditional AI approach to robotics. The approach has two goals: an engineering goal of building a flexib...
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Recently a new approach, called, behavior based robotics, has been proposed to overcome the difficulties of the traditional AI approach to robotics. The approach has two goals: an engineering goal of building a flexible autonomous robot, and a scientific goal of understanding human cognition. As one of behavior based robotic approaches, this paper deals with the reaching operation development in a simulated robot. Based on the importance of the contraction of muscles controlling body parts such as binocular eye balls, a neck and an arm, the reaching in the robot is modeled and learned via a learn-by-doing manner. And the learning result is stored in a memory as a form of experience of the muscle contraction, which is considered to be useful as a critical cue for space perception by the vision system and for arm reaching.
Determination of the 3D motion and structure of an object from its perspectively projected 2D image is one of the most important problems in computer vision. Previous works on shape and motion from optical flow have b...
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Determination of the 3D motion and structure of an object from its perspectively projected 2D image is one of the most important problems in computer vision. Previous works on shape and motion from optical flow have been unsatisfactory because they require solving nonlinear simultaneous equations using iterative search. In the present paper, we propose a method for the recovery of motion and structure from perspectively projected optical flow of feature points which move rigidly. In order to simplify the computation and obtain clear perspectives, we adopt a spherical image screen and arrange equations in linear form. As a result our method does not require the solution of nonlinear simultaneous equations, but only requires the solution of linear ones. Furthermore, we propose a method for refining the solution of our linear method using a nonlinear iterative search. Simulation results of our method are also presented.
This paper describes our research on bio-mimetic robot audition. Among the many binaural and monaural sound localization cues in the human auditory system, the interaural time difference cue is selected as it can easi...
This paper describes our research on bio-mimetic robot audition. Among the many binaural and monaural sound localization cues in the human auditory system, the interaural time difference cue is selected as it can easily be obtained by omnidirectional microphones. We have used a three-microphone system to remove the anterior-posterior ambiguity which occurs in two-microphone (or ear) systems. The echo-avoidance model of the precedence effect is used to cope with the echoes and reverberations of real environments. We mimicked the cocktail party effect by perceptual grouping of continuous components according to the spatial information obtained by the sound localization method. A wheel-based mobile robot equipped with an auditory system was developed. The auditory system has two sound processing parts. One is a DSP-based realtime system; the other is an off-line system composed of remote computers. Experiments of localizing and separating multiple sound sources and robot navigation were conducted to demonstrate the system's ability and potential applications.
Response data from a novel micro-hotplate gas sensor were used to test a robust classification technique based on an artificial neural network. Four different compounds were identified even when the sensor signal was ...
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Response data from a novel micro-hotplate gas sensor were used to test a robust classification technique based on an artificial neural network. Four different compounds were identified even when the sensor signal was corrupted by high levels of noise and drift. Additional verification rules in doubtful cases were provided by examining unique binary patterns of outputs of the hidden layer neurons. Similarities to proposed models of the human nose are noted.
This paper describes a mobile robot equipped with a real time sound localization system as well as a sonar system for obstacle detection. The sound localization method is based on a model of the precedence effect of t...
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This paper describes a mobile robot equipped with a real time sound localization system as well as a sonar system for obstacle detection. The sound localization method is based on a model of the precedence effect of the human auditory system to cope with echoes and reverberations. The sound localization and robot navigation experiments were conducted. The results show that the robot is capable of localizing sounding objects in a reverberant environment and approaching the objects without collisions, even when the objects were behind obstacles. Environment flexibility and error robustness of the system were discussed as well.
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