In this paper, a dynamic positioning system using a rotating sonar and a differential encoder is proposed. The method is implemented by employing an indirect feedback Kalman filter. The state equation is written for e...
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In this paper, a dynamic positioning system using a rotating sonar and a differential encoder is proposed. The method is implemented by employing an indirect feedback Kalman filter. The state equation is written for encoder propagation and its error characteristic. A measurement equation describes a map-based measurement equation based on rotating sonar sensor data. In other words, sonar data compensates for the system and navigation errors of the differential encoder. The positioning system calculates the position and headings of a mobile robot. The real-time calculation is performed by a map-based measurement update utilizing wide-angle beam characteristics of the sonar sensor and the Kalman filter. In addition, an observability analysis for the positioning system is performed. Experimental results show that the proposed hybrid positioning system successfully provides accurate position and headings in real-time. The position and heading errors arc bounded within few centimeters and within few degrees, respectively.
This paper discusses speech recognition based on a new statistical phoneme segment model which is trained by phoneme parameters derived from automatically extracted phoneme segments. The proposed system operates as fo...
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This paper discusses speech recognition based on a new statistical phoneme segment model which is trained by phoneme parameters derived from automatically extracted phoneme segments. The proposed system operates as follows. In preprocessing before recognition, the phoneme boundaries are detected by segmentation. The phonemes are discriminated using a stochastic phoneme segment model, and a phoneme segment lattice with scores is constructed. Next the speech recognition is performed by matching of symbol sequences to dictionary items. The segmentation system that is employed can infer phoneme boundaries with high accuracy. This helps to eliminate unnecessary parameters, leaving the feature parameters which are effective in separating phonemes. In other words, the phoneme recognition problem in continuous speech can be reduced to a discrimination problem and thus a speaker-independent model can be constructed from a relatively small number of training data. The stochastic phoneme segment model is trained with training samples extracted from a phoneme-balanced word set of 4920 words uttered by 10 speakers. In a recognition experiment with 6709 words uttered by 63 nontraining speakers, a recognition rate of 92.6% was obtained as the average for all speakers, using a word dictionary of 212 words.
This paper deals with the estimation of an unknown process transfer function in the presence of colored measurement noise. A three-step estimation procedure has been previously developed for transfer functions, the de...
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This paper deals with the estimation of an unknown process transfer function in the presence of colored measurement noise. A three-step estimation procedure has been previously developed for transfer functions, the delay steps and the orders of which are known in advance. The procedure is extended to deal with transfer functions with unknown delay steps and orders. The auto-correlation function of the error between the process output and model output is utilized for evaluating the model fitness. The effectiveness of the proposed method is demonstrated by a simulation study using a sample set of data in MATLAB.
In this paper, the potential applications of Fraser-Hipel-Kilgur methodology for conflict modelling and resolution, based on the theory of non-cooperative games theory, to the modelling analysis of Balkan conflicts is...
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In this paper, the potential applications of Fraser-Hipel-Kilgur methodology for conflict modelling and resolution, based on the theory of non-cooperative games theory, to the modelling analysis of Balkan conflicts is exploerd through the case study on the conflicting interests over R. Macedonia by the end of the twentieth century. Particular attention was devoted to the use of its advanced variant based on theory of digraphs and adjacent reachability matrices. The graph form takes game outcomes rather than individual decisions as the basic units for modelling conflicts, described in sufficient detail. A number of solution concepts can be formulated and employed for both two-player and multi-player games, the latter being of primary interst in here. The taxonomy of graph based solution concepts of the original methodology has been employed to account for certain anticipation horizon by each of the players. This methodology makes essential use of the fundamental axioms of game theory defined by posulates of the individual rationality, the players inertia, the limited-move stability, and the minimum effect for the opponents.
This paper presents the Short-term Load Forecasting Expert system (LoFES) which was developed and implemented for adopting artificial intelligence (Al) techniques in short-term load forecasting and supporting the huma...
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This paper presents the Short-term Load Forecasting Expert system (LoFES) which was developed and implemented for adopting artificial intelligence (Al) techniques in short-term load forecasting and supporting the human forecaster. This system had been developed from 1993 to 1995 in Korea Electric Power Corp. (KEPCO), and it has been operated in a real environment since 1996. LoFES is intended to provide user-oriented features with a Graphical User Interface(GUI), and all the forecasting procedures of this system are carried out with a GUI. The forecasting methods of the system include an exponential smoothing method, a multiple regression method, and a neural network based method for ordinary day load forecasting;and fuzzy inference method for special day load forecasting. In the actual operation in 1996, this system provided good forecasting accuracy with the mean absolute percentage error below 1.6%, and it outperformed the conventional method used in KEPCO and effectively supported the human forecaster in forecasting process.
Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristi...
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Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristics, the rate of convergence of these expansions can be drastically increased, leading to highly accurate models (small bias) being represented by few parameters (small variance). Additionally algorithmic and numerical aspects are favourable. A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory. The basis functions are applied in problems of identification, approximation, realization, uncertainty modelling, and adaptive filtering, particularly exploiting the property that basis function models are linearly parametrized. Besides powerful algorithms, they also provide useful analysis tools for understanding the underlying identification/approximation algorithms.
In this paper, we investigate the decentralized stabilization of some time-varying uncertain large-scale stochastic systems with delays under matching conditions. A type of decentralized controllers with guaranteed st...
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In this paper, we investigate the decentralized stabilization of some time-varying uncertain large-scale stochastic systems with delays under matching conditions. A type of decentralized controllers with guaranteed stabilization and sub-optimality are also given.
This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of ...
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This paper proposes a genetic-based algorithm for surface reconstruction of three-dimension (3-D) objects from a group of contours representing its section plane lines. The algorithm can optimize the triangulation of the surface of 3-D objects with a multi-objective optimization function to meet the needs of a wide range of applications. Further, a new crossover operator for triangulation and a new 3-D quadrilateral mutation operator are also introduced.
The EM algorithm and two MCMC algorithms are applied to manoeuvre detection in target tracking. These statistical methods are off-line and the intended use is to compute upper performance limits of on-line algorithms ...
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The incorrectness of several results concerning robustness measures introduced by M. S. Mahmoud in the paper `Some robustness measures for a class of discrete-time systems' is discussed. Some confusing issues are ...
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The incorrectness of several results concerning robustness measures introduced by M. S. Mahmoud in the paper `Some robustness measures for a class of discrete-time systems' is discussed. Some confusing issues are discussed, and the correct forms of the corresponding results are provided.
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