In this paper, a radial basis function network (RBFN) based adaptive H ∞ control scheme for nonlinear systems with unknown hysteresis nonlinearity is developed. This scheme applies the method of pseudo-control to the...
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To achieve the required performance of complex electronicsystems it is necessary to validate the system function during all phases of the design, which means multilevel validation. A hybrid Online Monitor for hard re...
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To achieve the required performance of complex electronicsystems it is necessary to validate the system function during all phases of the design, which means multilevel validation. A hybrid Online Monitor for hard real time systems (HRTS) has been developed. A special attention was dedicated on the multilevel validation in all phases of the design.
This paper presents the necessity of power system reinforcements in today's electricity supply industry. The principal outcome of the paper is two-fold. First, the paper offers a dynamic market modeling that prima...
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This paper presents the necessity of power system reinforcements in today's electricity supply industry. The principal outcome of the paper is two-fold. First, the paper offers a dynamic market modeling that primarily considers power system economics, reliability, security, and operation constraints. The network planning model is formulated by using stochastic modeling. Afterward neurofuzzy system with GA-based algorithm is proposed as a methodological approach. The fuzzy inference system is also presented. It mainly prioritizes all power system constraints throughout the model and evaluates a proper decision making towards the fuzzy if-then rules. Within the paper moreover, genetic algorithm (GA) is applied for optimizing the objective function whilst the recurrent neural network (RNN) technique is chosen for knowledge acquisition by training and learning all data under different power systemcontrol and operation scenarios. Eventually, some conclusions on whether or not the network reinforcements are necessarily required within a competitive marketplace are drawn.
This study is an effort to give a practical solution in the problem of optimizing the structure of the Hierarchical Mixture of Experts model, which is a natural extension of the Associative Gaussian Mixture of Experts...
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ISBN:
(纸本)0780382781
This study is an effort to give a practical solution in the problem of optimizing the structure of the Hierarchical Mixture of Experts model, which is a natural extension of the Associative Gaussian Mixture of Experts system. We present two novel methods for optimizing such structures using Genetic Algorithms. Special concern is taken for reducing the computational time so as to efficiently allow the structure to "grow" while it evolves with the Genetic Algorithm. The main contribution of the paper lies on the efficient, topologically oriented, representations of such architectures so as to be optimized through involving genetic algorithms.
As many variables were unobservable, especially for crop growth status, so when solving optimal control problem of intelligent greenhouse, several difficulties appeared concerning the greenhouse and crop model, the cr...
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ISBN:
(纸本)0780382730
As many variables were unobservable, especially for crop growth status, so when solving optimal control problem of intelligent greenhouse, several difficulties appeared concerning the greenhouse and crop model, the criterion and the computation of the optimal controls. In order to evade modeling difficulty, one method was utilizing fuzzy logic and neural network technology that realize the models by the black box and gray box theory. In receding horizon optimal control, a finite horizon open-loop optimal control problem, with initial values based on actual measurements, was solved at each time step. The computation was repeated at the next time step, moving the horizon one step up. The simulation results are accord with the rule of plants growth. Studies on optimal control method of plant environment in greenhouse by means of soft compute technology have been developed. Nowadays, the greenhouse environment optimal control focus on energy saving, economic profit, environment protection and continually develop.
A radial basis function network (RBFN) based adaptive H/sup /spl infin// control scheme for nonlinear systems with unknown hysteresis nonlinearity is developed. This scheme applies the method of pseudo-control to the ...
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ISBN:
(纸本)0780386353
A radial basis function network (RBFN) based adaptive H/sup /spl infin// control scheme for nonlinear systems with unknown hysteresis nonlinearity is developed. This scheme applies the method of pseudo-control to the design of the control strategy for the systems with hysteresis that cannot be measured directly. For the uncertainty of unknown hysteresis, the H/sup /spl infin// optimal control technique based on RBF neural network is utilized. Therefore, the tracking error of the system is suppressed to a prescribed small region. Finally, the effectiveness of the proposed control scheme is illustrated through simulation.
Magnetically controlled shape memory (MSM) materials are a new way to produce motion and force. The material changes shape in a magnetic field. Shape changes are even 10 percent and response time is less than a millis...
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ISBN:
(纸本)0780386108
Magnetically controlled shape memory (MSM) materials are a new way to produce motion and force. The material changes shape in a magnetic field. Shape changes are even 10 percent and response time is less than a millisecond. Usual applications of the material are actuators that produce linear motion. In this paper the magnetic controlled properties of MSM material, the operation principle, design and control method of an inchworm type linear MSM motor are introduced. The tested results of a prototype machine are also presented.
The objective of this paper is to investigate the method which can assess accurately and efficiently the effects of excitation systems on transient stability of power systems. At first, critical fault clearing time fu...
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The objective of this paper is to investigate the method which can assess accurately and efficiently the effects of excitation systems on transient stability of power systems. At first, critical fault clearing time functions CCT(W:load) are defined by taking notice of the fact that transient stability is mainly controlled by fault clearing time and load. Next, the method to be enable to assess accurately and efficiently the effects of excitation systems on transient stability has been newly developed by using the above functions. Finally, it has been applied to the effect assessment in the occurrence of a three- phase fault in a model power system. Results of application have been clarified the effectiveness of the developed method.
This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous res...
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This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous result on the robust stability analysis of the interval type uncertain fractional order LTI systems with crisply known fractional orders. We have proposed a stability check procedure for uncertain LTI systems with interval fractional orders and interval coefficients. The procedure is demonstrated with some simple examples
Rapid advances in the real-time embedded operating systems necessitate the development of Internet oriented, application specific embedded operating systems. The ASOS (Application Specific embedded Operating systems) ...
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