A standard PC platform based simulator system for personnel training in anti-tank guided missile (ATGM) systems has been designed and implemented;its operation is managed through instructor-trainee interaction. It mak...
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Assembly automation has become a research highlight for years. Dynamics of the most fundamental peg-in-hole mating, which represents an important topic of future research, is, however, far from being resolved. To this...
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Assembly automation has become a research highlight for years. Dynamics of the most fundamental peg-in-hole mating, which represents an important topic of future research, is, however, far from being resolved. To this end, the overall part-mating dynamics has been developed, and simulations have been implemented. The sensitivity analysis of each parameter on the assembly process has been made. The dynamic properties of assembly with the RCC have been concluded, which helps to implement active control. By selecting proper parameters of the dynamic remote center compliance, one can optimize assembly proceeding.
This paper presents the haptic interaction method when the interaction occurs at several points simultaneously. In many virtual training systems that interact with a virtual object, the haptic interface is modeled as ...
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Orthogonal frequency-division multiplexing (OFDM) has been selected as the basis for the new IEEE 802.11a standard for high-speed wireless local area networks (WLANs). We consider doubling the data rate of the IEEE 80...
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Orthogonal frequency-division multiplexing (OFDM) has been selected as the basis for the new IEEE 802.11a standard for high-speed wireless local area networks (WLANs). We consider doubling the data rate of the IEEE 802.11a system by using a multi-input multi-output (MIMO) system with two transmit and two receive antennas. We propose a preamble design for this MIMO system that is backward compatible with its single-input single-output (SISO) counterpart as specified by the IEEE 802.11a standard. Based on this preamble design, we devise a sequential method for the estimation of the carrier frequency offset (CFO), symbol timing, and channel response. We also provide a simple soft-detector to obtain the soft-information for the Viterbi decoder. Both the sequential parameter estimation method and the soft-detector are ideally suited for real-time implementations. The effectiveness of our methods is demonstrated via numerical examples.
In this paper, the performance of a free chattering sliding mode controller has been modified by neural network in order to decrease the consumption of energy. In other word, the final goal is to decrease the switchin...
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In this paper, the performance of a free chattering sliding mode controller has been modified by neural network in order to decrease the consumption of energy. In other word, the final goal is to decrease the switchin...
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In this paper, the performance of a free chattering sliding mode controller has been modified by neural network in order to decrease the consumption of energy. In other word, the final goal is to decrease the switching part of the control signal to the lowest level such that under this condition the system states converge to the sliding surface. The designed controller is applied to a flexible-link to control the endpoint position. The flexible-link has one degree of freedom and rotates in horizontal plane. The dynamic model was obtained from an experimental setup. Simulation results reveal the effectiveness of the proposed approach.
The paper presents results achieved during realization of the international project DAMADICS ( Development and Application of Methods for Actuator Diagnosis in Industrial control Systems ). The proposed fault detectio...
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The paper presents results achieved during realization of the international project DAMADICS ( Development and Application of Methods for Actuator Diagnosis in Industrial control Systems ). The proposed fault detection and isolation system is designed using a bank of dynamic neural networks. Each network is trained using a stochastic approximation method, which can be viewed as a fast alternative to back-propagation based algorithm. Simulation results are carried out using the real process data recorded at the Lublin Sugar Factory, Poland.
Two prototypes of reconfigurable antenna structure applicable to 3G communication systems are presented in this paper. The first one was designed to operate at 2.45 GHz and to steer the radiation beam from 60/spl deg/...
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Two prototypes of reconfigurable antenna structure applicable to 3G communication systems are presented in this paper. The first one was designed to operate at 2.45 GHz and to steer the radiation beam from 60/spl deg/ to 120/spl deg/ with a step of 5/spl deg/, by reconfiguring the feed elements. The second antenna is a V-antenna array with resonance frequency at 1.9 GHz and was constructed to full characterize the radiation pattern of this type of antenna.
The authors present a study of the finite word length (FWL) implementation for digital controller structures with sparseness consideration. A closed-loop stability related measure is derived, taking into account the n...
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The authors present a study of the finite word length (FWL) implementation for digital controller structures with sparseness consideration. A closed-loop stability related measure is derived, taking into account the number of trivial elements in a controller realisation. A practical design procedure is presented, which first obtains a controller realisation that maximises a lower bound of the proposed measure, and then uses a stepwise algorithm to make the realisation sparse. Simulation results show that the proposed design procedure yields computationally efficient controller realisations with an enhanced FWL closed-loop stability performance.
Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods...
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Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods to solve this kind of inverse problem has all kinds of shortcomings, BPNN (Back Propagation Neural Networks) method can be used to solve this typical inverse problem fast enough for real time measurement. In the traditional BPNN method, gradient descent search method is performed for error propagation. In this paper the authors propose a new algorithm that Newton method is performed for error propagation. For the cost function is highly nonconvex in the magnetic measurement problem, the new kind of BPNN can get convergent results quickly and precisely. A simulation result for this method is also presented.
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