This work consider the problem of flow control using incentive strategy in Stackelberg game theory. The network model employed here is that users route their flows from a common source to a common destination node, ea...
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We present a new statistical approach, called principal clusters analysis, for analyzing millions of user navigations among Web documents. This technique can identify distinct clusters of related information on a give...
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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 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.
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.
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.
This work consider the problem of flow control using incentive strategy in Stackelberg game theory. The network model employed here is that users route their flows from a common source to a common destination node, ea...
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This work consider the problem of flow control using incentive strategy in Stackelberg game theory. The network model employed here is that users route their flows from a common source to a common destination node, each of them trying to optimize its individual performance objective. First, the existing Stackelberg routing strategy is briefly introduced. And then, the linear Stackelberg incentive strategies are presented for both single-follower and multi-follower systems, by which the leader (manager) force the followers (the noncooperative users) adopt the team optimal flow configuration as their reply strategies. It is shown that the incentive strategy improves the existing Stackelberg routing strategy. A numerical example is given to illustrate the results of the strategy.
This paper deals with traffic rate control problems of networks. The incentive Stackelberg strategy concept was introduced to the networking model that comprises subsidiary systems of users and network. A linear strat...
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This paper deals with traffic rate control problems of networks. The incentive Stackelberg strategy concept was introduced to the networking model that comprises subsidiary systems of users and network. A linear strategy and a nonlinear strategy were proposed to the elastic traffic problem, with the illustrations via examples. The presented method was extended to non-elastic traffic problem.
The back-stepping design methodology of the math-analytical nonlinear control theory currently attracts considerable interests in many attempts of applied controls to various engineering systems, power systems being o...
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The back-stepping design methodology of the math-analytical nonlinear control theory currently attracts considerable interests in many attempts of applied controls to various engineering systems, power systems being one of them. In this paper a novel nonlinear controller is designed using this methodology based on the nonlinear second-order model of single machine to infinite bus system with thyristor controlled series compensation (TCSC). Given the circumstances of indirectly measured damping coefficient being uncertainty inaccurate, a dynamic feedback controller has be designed using adaptive back-stepping method, which also encompasses the on-line real-time estimation of the uncertainty parameter. This way designed adaptive nonlinear controller is shown to possess superior performances and engineering implementation.
Control methods in torque pulsating reduction for surface-mounted permanent magnet motors are discussed in this paper. The pulsating torque is a consequence of the nonsinusoidal flux-density distribution caused by the...
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Control methods in torque pulsating reduction for surface-mounted permanent magnet motors are discussed in this paper. The pulsating torque is a consequence of the nonsinusoidal flux-density distribution caused by the interaction of the rotor's permanent magnets with the changing stator reluctance. The proposed control method is estimator based. To assure parameter convergence Lyapunov's direct method is used in estimator design for the flux Fourier's coefficients. A novel nonlinear torque controller based on flux/torque estimate is introduced to reduce the influence of the flux harmonics. The influence of the cogging torque is considerably reduced at lower motor speed using the internal model principle and adaptive feedforward compensation technique. The overall control scheme and experimental results are also presented.
This paper addresses networking and traffic control problems in network systems along with the potential for introducing soft-computing applications at supervisory control level. The incentive Stackelberg strategy con...
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