The paper deals with the frequency domain design of a robust power system stabilizer (PSS) for a multivariable power system. The proposed PSS design procedure is based on a novel approach that applies the independent ...
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The paper deals with the frequency domain design of a robust power system stabilizer (PSS) for a multivariable power system. The proposed PSS design procedure is based on a novel approach that applies the independent design methodology to the so-called equivalent subsystems along with the well-known Small Gain theory and the robust stability conditions in the M-Delta setup. Theoretical results have been applied to the design of a robust multivariable PSS for a part of the Power System of the Slovak Republic.
We consider the constrained finite and infinite time optimal control problem for the class of discrete-time linear piecewise affine systems. When a linear performance index is used the finite and infinite time optimal...
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The proposed paper deals with modeling and control of continuous-time processes using artificial neural network with orthogonal activation functions, applicable for real-time control. A genetic algorithm has been used...
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The proposed paper deals with modeling and control of continuous-time processes using artificial neural network with orthogonal activation functions, applicable for real-time control. A genetic algorithm has been used to find the optimal neural structure for on-line identification with the best learning algorithm. A moving prediction horizon in the control algorithm found by genetic algorithm has been compared with a constant prediction horizon. The proposed algorithms were verified on practical control problem and have proved a good performance.
In this paper, we propose an object recognition method for 2D objects using wavelet descriptors. The descriptors are derived from the continuous wavelet transform using the Mexican hat function as mother wavelet. In c...
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In this paper, we propose an object recognition method for 2D objects using wavelet descriptors. The descriptors are derived from the continuous wavelet transform using the Mexican hat function as mother wavelet. In contrast to the other known methods we apply an angle function to describe object contours extracted as polygons. The contour extraction is based on the object oriented contour extraction method (OCE). The polygon representation is based on the curvature dependent contour approximation (CDCA). The continuous wavelet transform (CWT) is used in order to apply a suitable number of wavelet descriptors (WD), which are qualified to characterize the object shapes.
The paper deals with robust intelligent control of linear dynamical systems using algebraic polynomial theory in combination with the genetic algorithms (GA). It shows that the conventional robust polynomial synthesis...
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The paper deals with robust intelligent control of linear dynamical systems using algebraic polynomial theory in combination with the genetic algorithms (GA). It shows that the conventional robust polynomial synthesis approach can be successfully modified so as to improve performance by applying genetic algorithms for tuning controller parameters. A general algorithm has been developed for optimal polynomial controller tuning that enables to generate optimal and robust control actions for both SISO and MIMO systems. Moreover, the proposed methodology guarantees finding global optimum and enables achieving a higher performance compared with the conventional approaches. The proposed robust intelligent algorithm involving the intelligent searching procedure has been tested on a case study (control of a servo system with a changing momentum of inertia). Obtained results verify the possibility to improve the performance using combination of a polynomial algebraic controller and a genetic algorithm.
In this paper a robust predictive fuzzy control (PFC) methods for a nonlinear plant is addressed, proposed and tested. The paper consisting of theoretical and practical parts offers a new approach for intelligent fuzz...
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In this paper a robust predictive fuzzy control (PFC) methods for a nonlinear plant is addressed, proposed and tested. The paper consisting of theoretical and practical parts offers a new approach for intelligent fuzzy robust control design and its successful application. The structure of the fuzzy controller, online model identification and optimal performance index are analyzed, described and verified. The proposed PFC is demonstrated on two examples which one is applied to control of the concentration in the chemical reactor by manipulating its flow rate. The obtained simulation results show that the proposed algorithm is applicable for effective control of highly nonlinear processes that operate over a wide range of working space
The efficiency of the distributed systems is most often dominated by the network communications between the different sites. In distributed database systems, the communication between the different sites is almost ess...
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The efficiency of the distributed systems is most often dominated by the network communications between the different sites. In distributed database systems, the communication between the different sites is almost essential to satisfy a query. In order to minimize the time required to respond to a query in such systems, a reliable fragmentation technique is required to place the data as close to its user as possible. The placement of these fragments to the proper sites is a complementary step to assure the right position of these fragments. The previous fragmentation techniques provided a way for fragmentation of the database that is followed by an allocation technique to allocate the produced fragments as separate steps. The key idea of this paper is that it introduces a novel technique that combines both the fragmentation and allocation processes into one composite process thus putting into consideration the allocation constraints while fragmenting the data. It also simplifies the effort required to get the best fragments and the best location of these fragments. This proposed technique relies on a cost-based model rather than an affinity model as being used in previous techniques. The case of simple methods and complex attributes database is considered in this paper. The results obtained by the technique proofed the effectiveness and usefulness of the proposed technique
In this work, a novel environment representation method which facilitates path planning for biped walking robots is presented. The robot's environment is represented by a 2D map consisting of free regions, obstacl...
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In this work, a novel environment representation method which facilitates path planning for biped walking robots is presented. The robot's environment is represented by a 2D map consisting of free regions, obstacle regions and feasible paths over the obstacle regions. In the free regions, standard path planning methods can be applied to plan paths around large obstacles. These paths are combined with paths over obstacle regions which include stepping over small obstacles as well as changing the walking level. Search for feasible paths rests upon the approximation of the robot by a set of hulls whose shapes allow efficient checking of the path feasibility. By considering only a restricted set of paths over obstacles, some generality is traded against better time performance.
The purpose of this paper is to show a simple ability of using neural networks in longitudinal vehicle guidance. The main motivation is an opportunity of neural networks to learn from acquired real driver data, as wel...
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The purpose of this paper is to show a simple ability of using neural networks in longitudinal vehicle guidance. The main motivation is an opportunity of neural networks to learn from acquired real driver data, as well as to reproduce many driver behaviour styles raging from extremely comfort to extremely sportive ones. This possibility is shown with a simulated model based longitudinal trajectory generation. This model has used an adjustable comfort parameter for different sorts of driver behaviour. Experiment results, obtained with Audi test vehicle, are also presented.
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