Conventionally, passive filter design is very important to many power electronic circuits and power systems. For the design of these power electronic circuits and power systems, how to obtain accurate corner frequenci...
详细信息
Conventionally, passive filter design is very important to many power electronic circuits and power systems. For the design of these power electronic circuits and power systems, how to obtain accurate corner frequencies becomes a very important issue. It is known that when the load is large, the inductance for an inductor always changes. This is due to the fact that when the current load is high, the inductance always suffers from saturation or hysteresis. Because the inductance is nonlinear, it is very difficult to estimate the actual value for the nonlinear inductance during large current situations. In this paper, the authors explore the saturation phenomenon for a nonlinear inductance. With the describing function method, one can linearize the nonlinear inductor and then estimate the inductance during large current situations. Therefore, the bandwidth for low-pass, high-pass and notch filters can be also calculated very accurately. It can be found by the describing function method that when the current is very large, the corner frequencies or bandwidth frequencies will drift to a larger value in the low-pass filter. The drift value of bandwidth frequencies can be easily calculated by the describing function. This phenomenon can be verified by simulation and experimental results.
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...
详细信息
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.
We use partial likelihood (PL) theory to introduce a general probabilistic framework for the design and analysis of neural classifiers. The formulation allows for the training samples used in the design to have correl...
详细信息
We use partial likelihood (PL) theory to introduce a general probabilistic framework for the design and analysis of neural classifiers. The formulation allows for the training samples used in the design to have correlations in time, and for use of a wide range of neural network probability models including recurrent structures. We use PL theory to establish a fundamental information-theoretic connection, show the equivalence of likelihood maximization and relative entropy minimization, without making the common assumptions of independent training samples and true distribution information. We use this result to construct the information geometry of partial likelihood and derive the information geometric e- and m-projection (em) algorithm for class conditional density modeling by finite normal mixtures. We demonstrate the successful application of the algorithm by a channel equalization example and give simulation results to show the efficiency of the scheme.
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...
详细信息
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.
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...
详细信息
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...
详细信息
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 ...
详细信息
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 ...
详细信息
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 ...
详细信息
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.
The primary focus of this paper is the identification of second-order Volterra models using input sequences that offer the following three advantages: (i) the are 'plant friendly;' (ii) they simplify the requi...
详细信息
暂无评论