A simple tuning method for second-order active disturbance rejection control (ADRC) that achieves high performance and good robustness for a wide range of processes is presented. ADRC is a novel control strategy whose...
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This paper is concerned with stabilization of a linear system with distributed input delay and input saturation. Both constant and time-varying delays are considered. In the case that the input delay is constant, unde...
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Twinkling artifact is a color flow Doppler sonography artifact appearing as rapidly changing color patterns, surprisingly at location of some non-moving objects such as sediments within tissue. Most studies in this ar...
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Twinkling artifact is a color flow Doppler sonography artifact appearing as rapidly changing color patterns, surprisingly at location of some non-moving objects such as sediments within tissue. Most studies in this area are as clinical trials and qualitative reports. Although the origin of this artifact is not completely known yet, there are two basic hypotheses suggested by Rahmouni and Kamaya in this regard. None of these hypotheses has been validated through computer simulation in the past. Simulation of twinkling artifact can play an important role in better understanding its origin. In this paper, we have simulated the twinkling artifact based upon the phase noise hypothesis as one of the major theories about its origin, for the first time. Our simulations have been implemented for both the single scan-line pulsed Doppler structure and the B-mode color flow Doppler. In both cases, the twinkling artifact was observed within the expected locations. The results indicate that the intrinsic phase noise in the pulse generation and transmission systems can cause twinkling artifact without considering any motion for the subject or transducer. This is a support for Kamaya's hypothesis.
This paper presents an automated algorithm for shadow regions detection in IVUS images using a histogram modification method for threshold selection. The method employs the Type2 Fuzzy Set together with spatial inform...
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This paper presents an automated algorithm for shadow regions detection in IVUS images using a histogram modification method for threshold selection. The method employs the Type2 Fuzzy Set together with spatial information for shadow region separation from the background image. Shadow regions usually occur behind the calcium deposits making it difficult or impossible to process tissue images in these regions. Results show that the proposed method is effective in detection of parts of the image in the shadow regions. Applying to a data set of 40 IVUS frames the results show a good agreement between the automatically detected and manually defined shadow regions boundaries by the proposed method and the expert, respectively.
As a developing field of investigation, exploring the causal relations (effective connectivity) among brain regions, helps the neurologists to understand the brain function. Most of effective connectivity measures are...
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As a developing field of investigation, exploring the causal relations (effective connectivity) among brain regions, helps the neurologists to understand the brain function. Most of effective connectivity measures are model-based but in the recent years some nonparametric measures like Transfer Entropy (TE) have been proposed. TE is based on the conditional mutual information concept. However in the presence of strong instantaneous relations that are observed extensively among cortical activity of brain regions, TE may estimate the causal (delayed) relations inaccurately. In this paper we present a novel information-theoretic based measure called Instantaneous Interaction (II) to estimate the brain instantaneous relations. Then we present a novel measure called Modified Transfer Entropy (MTE) to estimate the causal (delayed) relations when II is significant. The performance of these new measures is evaluated on 3 simulated models and experimental EEG data.
Reflection seismic data interpretation is an applied method in oil and gas exploration industry. Interpretation of seismic facies could help understanding complexity of internal stratigraphic geometries of complex seq...
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A novel recursive singularity free FTSM (Fast Terminal Sliding Mode) strategy for finite time tracking control of nonholonomic systems is proposed. As a result, the singularity problem around the origin resulting from...
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A novel recursive singularity free FTSM (Fast Terminal Sliding Mode) strategy for finite time tracking control of nonholonomic systems is proposed. As a result, the singularity problem around the origin resulting from the fractional power of conventional terminal sliding mode is resolved. Simulation results are given for two benchmark examples of extended chained-form nonholonomic systems: a wheeled mobile robot and an underactuated surface vessel. The results show the effectiveness of the proposed strategy.
The present paper develops a Consensus-Based Decentralized Expectation-Maximization(CB-DEM) algorithm to estimate the parameters of a mixture density model for use in distributed flow and speed modeling tasks performe...
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The present paper develops a Consensus-Based Decentralized Expectation-Maximization(CB-DEM) algorithm to estimate the parameters of a mixture density model for use in distributed flow and speed modeling tasks performed with traffic data collected at spatially deployed traffic loop detector(traffic sensors) in a certain freeway network. This algorithm uses traffic measurements including volume, occupancy and mean speed which gathered by some inductive loop detectors. These traffic detectors(traffic sensors) located in certain distances in the freeway network such that they establish a Distributed Sensor Network(DSN).. The convincing simulation results for a set of field traffic data from the Metro Freeway Network provided by Regional Traffic Management center(RTMC), a part of Minnesota Department of Transportation(Mn DOT) are presented.
The major obstacle in discrimination between different groups of subjects in a common cognitive state, by functional Magnetic Resonance Imaging (fMRI), has been the high intersubject functional and anatomical variabil...
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Application of the compliance to increase the robustness of the bipedal walker locomotion is the main target of this paper. The control of bipedal robots with point feet is one of the most challenging problems in the ...
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Application of the compliance to increase the robustness of the bipedal walker locomotion is the main target of this paper. The control of bipedal robots with point feet is one of the most challenging problems in the domain of hybrid dynamical systems. In order to make an exponentially stable periodic walking for an Acrobot as a planar biped with only one degree of freedom, a controller is designed based on the hybrid zero dynamics analysis. Then, through appropriate alterations in robot structure, the controller complexities are reduced which result in fewer parameters for tuning. Improvement of the robot structure via compliance insertion not only compensates the lower degree of freedom of the control design process, but also expands the domain of stability of the closed-loop system. In this regard, a nonlinear damper is inserted between two legs of Acrobot to enable it to walk on a wider range of slopes. The main controller is designed for walking on a flat terrain and the compliance of the damper empowers it to make stable walking on slopes up to 17°. The simulation results confirmed the efficiency of the proposed approach.
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