This paper is based our previous work on model predictive control (MPC) of switched reluctance motor (SRM). A local linear neuro-fuzzy model is used to model SRM. Then a MPC schema is devised considering an appropriat...
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This paper is based our previous work on model predictive control (MPC) of switched reluctance motor (SRM). A local linear neuro-fuzzy model is used to model SRM. Then a MPC schema is devised considering an appropriate energy term in the objective function during optimization phase. Commutation occurs naturally as an outcome of the predictive control design process, not as an extra step added to the control policy. In this paper, an adaptive -time varying- objective function is proposed to better cope with nonlinear nature of the SRM. A fast and easy algorithm is devised to adjust the weights in the objective function. This new algorithm allow for an auto-tune MPC approach to SRM control. From a computational view point, we use locally linear model predictive control that with a quadratic cost and linear constraints reduces to a simple quadratic programming, which can be solved very fast in a closed form. Simulation studies justify applicability of our proposed method and algorithm to SRM applications
Recently, a capsule endoscope has been developed to observe images from the inside of intestine. Such a capsule endoscope does not have locomotion or hold method. To get proper diagnosis and medication, it is necessar...
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ISBN:
(纸本)0889865787
Recently, a capsule endoscope has been developed to observe images from the inside of intestine. Such a capsule endoscope does not have locomotion or hold method. To get proper diagnosis and medication, it is necessary to control the capsule from outside to guide locomotion. The designed and implemented capsule has feasibility to contract the small intestine by electrical stimuli through the electrodes. When the small intestine is contracted by electrical stimuli, the capsule can move to opposite direction, which means the capsule can go up and down in the small intestine. The implemented stimuli capsule always monitors excessive energy transmission and automatically shuts down the electrical stimuli to make it more secure. Additionally, the stimuli capsule goes on standby mode to save the battery, and it can be reset by comparator circuit which is connected to stimulus electrodes. To verify the design and implement the stimuli capsule, in-vitro experiments were performed with pig's small intestine.
Electrogastrography (EGG) is a significant reference of the myoelectric activity of the gastrointestinal tract and indicates whether it has a disease or not. There have been numerous studies of the myoelectric activit...
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ISBN:
(纸本)0889865787
Electrogastrography (EGG) is a significant reference of the myoelectric activity of the gastrointestinal tract and indicates whether it has a disease or not. There have been numerous studies of the myoelectric activity in a stomach, but only a few studies of the intestines because of the difficulty of measurement in the intestines. Recently, the technology of the biotelemetry capsule for measurement of internal information in the human digestive tract has been developed. In the current study, an EGG telemetry system using the developed biotelemetry technology was designed and implemented for measuring EGG in intestines. The EGG capsule converts the acquired EGG value to digital data, which is transmitted from the capsule to the external receiver. The performance of the telemetry capsule for the EGG monitoring in the gastrointestinal tract was verified by in-vitro animal experiments. From the experiment, it was verified that the EGG telemetry capsule can measures a slow wave in intestines.
We present a design for a quantum key distribution (QKD) system in a Sagnac loop configuration, employing a novel phase modulation scheme based on frequency shift, and demonstrate stable BB84 QKD operation with high i...
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We present a design for a quantum key distribution (QKD) system in a Sagnac loop configuration, employing a novel phase modulation scheme based on frequency shift, and demonstrate stable BB84 QKD operation with high interference visibility and low quantum bit error rate (QBER). The phase modulation is achieved by sending two light pulses with a fixed time delay (or a fixed optical path delay) through a frequency shift element and by modulating the amount of frequency shift. The relative phase between two light pulses upon leaving the frequency-shift element is determined by both the time delay (or the optical path delay) and the frequency shift, and can therefore be controlled by varying the amount of frequency shift. To demonstrate its operation, we used an acousto-optic modulator (AOM) as the frequency-shift element, and vary the driving frequency of the AOM to encode phase information. The interference visibility for a 40 km and a 10 km fiber loop is 96% and 99%, respectively, at single photon level. We ran BB84 protocol in a 40-km Sagnac loop setup continuously for one hour and the measured QBER remained within the 2%-5% range. A further advantage of our scheme is that both phase and amplitude modulation can be achieved simultaneously by frequency and amplitude modulation of the AOM's driving signal, allowing our QKD system the capability of implementing other protocols, such as the decoy-state QKD and the continuous-variable QKD. We also briefly discuss a new type of Eavesdropping strategy ("phase-remapping" attack) in bidirectional QKD system
We demonstrate a stable Sagnac quantum key distribution implementing BB84 phase-encoding protocol based on acousto-optic frequency shifters. The quantum bit error rate remains 4-6.5% for at least one hour without reca...
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We demonstrate a stable Sagnac quantum key distribution implementing BB84 phase-encoding protocol based on acousto-optic frequency shifters. The quantum bit error rate remains 4-6.5% for at least one hour without recalibration or feedback control
Locally Linear Model Tree (LOLIMOT) and Piecewise Linear Network (PLN) learning algorithms are two approaches in local linear modeling use different algorithm in each part of training phase. PLN learning is more depen...
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Locally Linear Model Tree (LOLIMOT) and Piecewise Linear Network (PLN) learning algorithms are two approaches in local linear modeling use different algorithm in each part of training phase. PLN learning is more depended on training data than LOIMOT and needs rich training data set. In PLN learning no division test is needed and it causes this algorithm to be much faster than LOLIMOT, but it may create adjacent neurons that would lead to singularity in regression matrix. In LOLIMOT, because of regular splitting of input space, this problem does not occur and always it leads to acceptable output error, but needs large number of neuron. Therefore, PILIMOT learning algorithm is introduced as modified combination of these two main Locally Linear approaches. This new method takes suitable error and neuron number from both of algorithms and leads to efficient network which is applicable to identify all functions. Simulation results show the advantage and behavior of new method.
In this paper, we propose a cooperative control strategy for a group of robotic vehicles to achieve the specified task issued from a high-level astronaut command. The problem is mathematically formulated as designing ...
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In this paper, we propose a cooperative control strategy for a group of robotic vehicles to achieve the specified task issued from a high-level astronaut command. The problem is mathematically formulated as designing the cooperative control for a general class of multiple-input-multiple-output (MIMO) dynamical systems in canonical form with arbitrary but finite relative degrees such that the outputs of the overall system converge to the explicitly given steady state. The proposed cooperative control for individual vehicle only need to use the sensed and communicated outputs information from its local neighboring vehicles. No fixed leader and time-invariant communication networks are assumed among vehicles. Particularly, a set of less-restrictive conditions on the connectivity of the sensor/communication networks are established, under which it is rigorously proven by using the newly found nice properties of the convergence of sequences of row stochastic matrices that the cooperative objective of the overall system can be achieved. Simulation results for a group of vehicles achieving a target and surrounding a specified object in formation are provided to support the proposed approach in this paper.
This paper addresses the stability issue of switched linear systems with perturbed switching paths. First, by introducing the notions of child-path and parent-path, we are able to define the distance between two switc...
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This paper addresses the stability issue of switched linear systems with perturbed switching paths. First, by introducing the notions of child-path and parent-path, we are able to define the distance between two switching paths by means of their switching matrices chains. Next, we present the nice properties of the defined distance. Then, a stability criterion is presented for a class of switched linear systems with perturbed switching paths. Finally, an illustrative example is presented to verify the effectiveness of the approach.
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