A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno...
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A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions.
We discuss fast implementations of primal-dual interior-point methods for semidefinite programs derived from the Kalman-Yakubovich-Popov lemma, a class of problems that are widely encountered in control and signal pro...
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This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an ...
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In this paper, we propose a new pedestrian detection algorithm, and use it to develop a real-time pedestrian detection system. The pedestrian detection algorithm can be functionally partitioned into two parts: moving ...
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As the interest of location based-service and ubiquitous environment is proliferated, the development of technologies to determine mobile station location indoors and outdoors is basically demanded for providing vario...
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As the interest of location based-service and ubiquitous environment is proliferated, the development of technologies to determine mobile station location indoors and outdoors is basically demanded for providing various services based on user's location. Representatively, GPS(Global Positioning System) is the most well-known positioning system, but actually isn't an adequate system indoors because of the weakness of positioning signals, NLOS(Non-line of sight) and multipath. Therefore, recently in order to replace it, new technologies using WLAN have been presented. In the thesis, as estimating NLOS errors between mobile station and access points using reference points, a triangulation positioning method based on signal strength will be proposed. Also, indoor positioning experiment results will be shown.
Developing robust and reliable control code for autonomous mobile robots is difficult, because the interaction between a physical robot and the environment is highly complex, it is subject to noise and variation, and ...
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Developing robust and reliable control code for autonomous mobile robots is difficult, because the interaction between a physical robot and the environment is highly complex, it is subject to noise and variation, and therefore partly unpredictable. This means that to date it is not possible to predict robot behaviour, based on theoretical models. Instead, current methods to develop robot control code still require a substantial trial-and-error component to the software design process. Such iterative refinement could be reduced, we argue, if a more profound theoretical understanding of robot-environment interaction existed. In this paper, we therefore present a modelling method that generates a faithful model of a robot's interaction with its environment, based on data logged while observing a physical robot's behaviour. Because this modelling method - non-linear modelling using polynomials - is commonly used in the engineering discipline of system identification, we refer to it here as "robot identification". We show in this paper that using robot identification to obtain a computer model of robot-environment interaction offers several distinct advantages: 1. Very compact representations (one-line programs) of the robot control program are generated 2. The model can be analysed, for example through sensitivity analysis, leading to a better understanding of the essential parameters underlying the robot's behaviour, and 3. The generated, compact robot code can be used for cross-platform robot programming, allowing fast transfer of robot code from one type of robot to another. We demonstrate these points through experiments with a Magellan Pro and a Nomad 200 mobile robot.
作者:
DE LA CRUZ J.MHERRáN-GONZáLEZ ARISCO-MARTíN J.LANDRéS-TORO BDepartment of Computer Architecture and Automatic Control
Complutense University of Madrid 28040 Madrid SpainDepartment of Computer Architecture and Automatic Control Complutense University of Madrid 28040 Madrid SpainDepartment of Computer Science Engineering C.E.S. Felipe II (U.C.M.) 28300 Aranjuez SpainDepartment of Computer Architecture and Automatic Control Complutense University of Madrid 28040 Madrid Spain
We solve the problem of petroleum products distribution through oil pipelines networks. This problem is modelled and solved using two techniques: A heuristic method like a multiobjective evolutionary algorithm and Mat...
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We solve the problem of petroleum products distribution through oil pipelines networks. This problem is modelled and solved using two techniques: A heuristic method like a multiobjective evolutionary algorithm and Mathematical Programming. In the multiobjective evolutionary algorithm, several objective functions are defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some are evaluated through a repairing function to avoid infeasible solutions. In the Mathematical Programming approach the multiobjective optimization is solved using the Constraint Method in Mixed Integer Linear Programming. Some constraints of the mathematical model are nonlinear, so they are linearized. The results obtained with both methods for one concrete network are presented. They are compared with a hybrid solution, where we use the results obtained by Mathematical Programming as the seed of the evolutionary algorithm.
The current work presents an API based on the Real-Time Specification for Java (RTSJ) that optimizes real-time embedded systems development. Using this API it is possible to state non-functional specifications, like t...
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Today's circuit design process is become a complex task. Sequential logic synthesis is an important part of the circuit design flow. The logic synthesis phase is a bottleneck during the overall design process sinc...
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We have developed a method of representing robotic soccer game. This representation is used for controlling robots playing soccer. Our approach to robot soccer is to view it as a local interaction game, which reduces ...
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