A hybrid model used to approximate hysteresis and creep nonlinear system is proposed. This model is constructed by a weighted superposition of both backlash operators and creep operators. Then, the corresponding inver...
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This paper proposes a neural model for hysteresis. A method of continuous transformation is used to construct an elementary hysteresis model (EHM), which implements a one-to-one mapping between the input space and the...
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We examined the onset condition of flushing by falling the fluidized soft wheat flour into the vessel that has the orifice at the bottom, where the mean size of flour is 69.8 μm, material density is 1417 kg/m3, and m...
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We examined the onset condition of flushing by falling the fluidized soft wheat flour into the vessel that has the orifice at the bottom, where the mean size of flour is 69.8 μm, material density is 1417 kg/m3, and moisture content is between 11.9 and 13.4 %. The flour of about 25 kg is fluidized in the upper hopper in each experiment, of which voidage is changed by different air flow rates from 0.1710-3 to 0.5010 -3 m3/s. The exit diameter of the upper hopper is changed from 10 to 50 mm, and the diameter of flushing orifice is change from 1 to 10 mm. We obtained the following results: (1) The flushing occurs when the interstitial air pressure at the bottom of the vessel is larger than 300 Pa and the initial voidage is more than 0.54, where the mass flow rate of powder into the vessel exceeds 500 g/s. (2) The interstitial air pressure at the beginning and end of flushing increases with decreasing the orifice diameter, and that at the beginning of flushing is larger than that at the end of flushing.
In this paper, a new configuration of the electrodes, called divided electrode, is proposed for a short time measurement of bio-impedance in a cross section of a local tissue. Its capability is examined by computer si...
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In this paper, a new configuration of the electrodes, called divided electrode, is proposed for a short time measurement of bio-impedance in a cross section of a local tissue. Its capability is examined by computer simulations, where a distributed equivalent circuit is used as a model of the tissue. Estimation of impedance parameters is carried out by use of the Gauss-Newton Method. As a result of them, usefulness of the proposed method is confirmed by computer simulations using a typical layered tissue model.
The purpose of this paper is to present the expert massage robot using a multi-fingered robot hand. First, the fingertip forces applied by an expert human therapist was measured using sheet distribution pressure senso...
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Recently, non-negative matrix factor 2D deconvolution was developed as a means of separating harmonic instruments from single channel mixtures. This technique uses a model which is convolutive in both time and frequen...
Recently, non-negative matrix factor 2D deconvolution was developed as a means of separating harmonic instruments from single channel mixtures. This technique uses a model which is convolutive in both time and frequency, and so can capture instruments which have both time-varying spectra and time-varying fundamental frequencies simultaneously. However, in many cases two or more channels are available, in which case it would be advantageous to have a multi-channel version of the algorithm. To this end, a shifted 2D non-negative tensor factorisation algorithm is derived, which extends non-negative matrix factor 2D deconvolution to the multi-channel case. The use of this algorithm for multi-channel sound source separation of pitched instruments is demonstrated
An adaptive control strategy is presented for dynamic sandwich systems with hysteresis. The so-called sandwich system with hysteresis is the system that can be represented by a cascade of a dynamic smooth nonlinear (D...
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An adaptive control strategy is presented for dynamic sandwich systems with hysteresis. The so-called sandwich system with hysteresis is the system that can be represented by a cascade of a dynamic smooth nonlinear (DSNL1), a hysteresis nonlinear (HNL) and another dynamic smooth nonlinear (DSNL2) subsystem. In this control strategy, a neural network based inverse model is constructed to compensate for the effect of the first dynamic block (i.e. DSNL1) of the sandwich system. Thus, the sandwich system can be transformed into a dynamic nonlinear subsystem preceded by hysteresis. Then a novel hysteretic operator is proposed to transform the multi-valued mapping of hysteresis into a one-to-one mapping. Base on the proposed hysteretic operator, a neural adaptive controller is developed for the modified system. One of the advantages of the controller is that it does not need to construct the inverse model of hysteresis to cancel the hysteretic effect
This paper proposes a novel and simple approach for modeling of the inverse hysteresis. In this method, the continuous transformation technique is utilized to construct an elementary inverse hysteresis model (EIHM), w...
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This paper proposes a novel and simple approach for modeling of the inverse hysteresis. In this method, the continuous transformation technique is utilized to construct an elementary inverse hysteresis model (EIHM), which sets up a one-to-one mapping between the input space and the output space of the inverse hysteresis nonlinearity. Then the output of the EIHM is used as one of the input signals of the neural network (NN) to approximate the inverse behavior of hysteresis. Finally, the proposed method is applied to the modeling of the inverse model of hysteresis inherent in piezoelectric actuator
In this paper, the authors present a method of eigenvalue assignment for nonlinear systems. A time-varying approach to nonlinear exponential stability via eigenvalue placement is studied based on an iteration techniqu...
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ISBN:
(纸本)1424401704
In this paper, the authors present a method of eigenvalue assignment for nonlinear systems. A time-varying approach to nonlinear exponential stability via eigenvalue placement is studied based on an iteration technique that approaches a nonlinear system by a sequence of LTV equations. The convergent behavior of this method is shown and applied to a practical example to illustrate these ideas
A new path planning method for mobile robots in globally unknown environment with moving obstacles is presented. With an autoregressive (AR) model to predict the future positions of moving obstacles, and the predicted...
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