Fuzzy direct adaptive sliding mode control design for a class of interconnected large-scale nonlinear systems with unknown functions has been resolved. It makes use of the fuzzy control method via fuzzy logic approxim...
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Fuzzy direct adaptive sliding mode control design for a class of interconnected large-scale nonlinear systems with unknown functions has been resolved. It makes use of the fuzzy control method via fuzzy logic approximation with fuzzy sliding mode control to approximate the ideal controller synthesised. Fuzzy sliding mode control is introduced to attenuate the fuzzy approximation errors. The (sub)system parameters are being regulated on-line by adaptive laws and stabilised by virtue of Lyapunov's second method applied.
A new parallel architecture for the computation of a vector inner product is presented. The design is based on an extension of the radix-2/sup n/ design methodology previously proposed. In the new design, array multip...
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A new parallel architecture for the computation of a vector inner product is presented. The design is based on an extension of the radix-2/sup n/ design methodology previously proposed. In the new design, array multipliers without the final adder are used to produce the different partial product terms. This allows a more efficient use of 4:2-compressors and/or carry save adders for the accumulation of the products in the intermediate stages and reduces the numbers of accumulators by a factor of M, where M is the length of the vectors.
A multidisciplinary, collaborative simulation has been performed on a Grid of geographically distributed PC clusters. The multiscale simulation approach seamlessly combines i) atomistic simulation based on the molecul...
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This paper presents a practical knowledge discovery approach to software quality and resource allocation that incorporated recent advances in rough set theory, parameterized approximation spaces and rough neural compu...
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This paper presents a practical knowledge discovery approach to software quality and resource allocation that incorporated recent advances in rough set theory, parameterized approximation spaces and rough neural computing. In addition, this research utilizes the results of recent studies of software quality measurement and prediction. A software quality measure quantifies the extent, to which some specific attribute is present in a system. Such measurements are considered in the context of rough sets. This research provides a framework for making resource allocation decisions based on evaluation of various measurements of the complexity of software. Knowledge about software quality is gained when preprocessing during which, software measurements are analyzed using discretization techniques, genetic algorithms in deriving reducts, and in the derivation of training and testing sets, especially in the context of the rough sets exploration system (RSES) developed by the logic group at the Institute of Mathematics at Warsaw University. Experiments show that both RSES and rough neural network models are effective in classifying software modules.
In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations ...
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In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations of these systems are derived. Finally, it is shown that controllability of the original systems can be determined by that of the subsystems, which are obtained through isomorphic decomposition. The corresponding sufficient and necessary conditions are given. Two new theoretical results have been proved.
In this paper, the problem of system decomposition of complex linear dynamical systems, by exploiting the similarity property, is studied. System decompositions were sought in terms of similarity hierarchical structur...
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In this paper, the problem of system decomposition of complex linear dynamical systems, by exploiting the similarity property, is studied. System decompositions were sought in terms of similarity hierarchical structures. Three new theoretical results were proved. A method for constructing the transformation has been derived. The conditions for such decomposition of complex linear systems are given.
The aim of this project is to exploit artificial intelligence research outcomes to provide a multifaceted support for users of modeling and simulation techniques, reducing thus the time required to learn the technique...
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The aim of this project is to exploit artificial intelligence research outcomes to provide a multifaceted support for users of modeling and simulation techniques, reducing thus the time required to learn the techniques and enhancing the efficiency of the users' work or study. The developed system is freely available across the Internet.
In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the £nite time c...
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In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the £nite time convergence of the system equilibrium, but also eliminates the singularity problem associated with conventional terminal sliding mode control. Simulations are presented to show the effectiveness of the design.
In this paper, the control of liquid flow is studied. An elastic line that transports elastic liquid is investigated. The effect of control on a hydraulic impact at the outflow line is discussed. Mathematical model of...
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In this paper, the control of liquid flow is studied. An elastic line that transports elastic liquid is investigated. The effect of control on a hydraulic impact at the outflow line is discussed. Mathematical model of impact propagation is presented. The congruence of measured and computed results is demonstrated.
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