We study the formation of short-term interest rates in the interbank lending market where banks are modeled as agents with bounded rationality. We propose a novel model which is based on bilateral contracts between ri...
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ISBN:
(纸本)9781479917730
We study the formation of short-term interest rates in the interbank lending market where banks are modeled as agents with bounded rationality. We propose a novel model which is based on bilateral contracts between risk-neutral profit-maximizing agents. To render the model tractable for large financial networks, we assume that banks' beliefs about the borrowing alternatives in the market are governed by a common reference interest rate, which is a function of the rates offered in the bilateral contracts. We show how this reference rate can be determined endogenously from a suitable mean field equilibrium and provide sufficient conditions for the existence of such an equilibrium together with an algorithm to compute it. Using simulation, we study the dependence of the equilibrium on the model parameters.
In this paper we examine the amplitude and phase dynamics of power-electronic inverters in islanded microgrids that are controlled to emulate the dynamics of a class of weakly nonlinear Lienard-type oscillators. The g...
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ISBN:
(纸本)9781479917730
In this paper we examine the amplitude and phase dynamics of power-electronic inverters in islanded microgrids that are controlled to emulate the dynamics of a class of weakly nonlinear Lienard-type oscillators. The general strategy of controlling inverters to emulate the behavior of Lienard-type oscillators is termed Virtual Oscillator control (VOC), and it presents a compelling time-domain alternative to ubiquitous droop control methods which linearly trade off voltage frequencies and magnitudes with active and reactive power injections. In comparison to droop control, which assumes a priori that the network operates in a quasi-stationary sinusoidal steady state, VOC is a time-domain control strategy that globally stabilizes a desired sinusoidal steady state. The main, and somewhat surprising, result of this paper is that--when reduced to the sinusoidal steady state--the VOC dynamics correspond to those of droop control. Hence, VOC is a globally stabilizing control strategy that can deal with higher-order harmonics and includes droop control in the harmonic steady state. The results are intriguing, in that they suggest that droop control laws can be recovered from averaging the complex dynamics of a class of weakly nonlinear limit-cycle oscillators.
This study presents a novel indirect adaptive hierarchical fuzzy sliding mode controller for a class of high-order SISO nonlinear systems with unknown function in the presence of bounded disturbance. The hierarchical ...
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This study presents a novel indirect adaptive hierarchical fuzzy sliding mode controller for a class of high-order SISO nonlinear systems with unknown function in the presence of bounded disturbance. The hierarchical fuzzy system is able to reduce the number of rules and parameters with respect to ordinary fuzzy systems. On-line tuning algorithm for consequent part parameters of fuzzy rules in different layer of hierarchical fuzzy system is derived using defined Lyapunov function. It is proved that the suggested adaptive scheme can achieve asymptotically stable tracking of a reference input with guarantee of the bounded system signals. To show the effectiveness of the proposed method, control of flexible joint robot system is considered in simulations. The simulation results demonstrate the validity, efficiency and feasibility of the proposed approach to control of nonlinear dynamic system.
Earthquakes are one of the most destructive disasters that cause huge damage to structures and human beings. It is not possible to predict the exact location, duration and intensity of an earthquake;however, the proba...
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To calculate sound wave velocity, we performed the Hsu-Nielsen lead break experiment using the ANSYS/LS-DYNA finite element software. First, we identified the key problems in the finite element analysis, such as selec...
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The purpose of this study is to demonstrate an online steady-state visual evoked potential (SSVEP)-based BCI system using EarEEG. EarEEG is a novel recording concept where electrodes are embedded on the surface of ear...
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ISBN:
(纸本)9781424492695
The purpose of this study is to demonstrate an online steady-state visual evoked potential (SSVEP)-based BCI system using EarEEG. EarEEG is a novel recording concept where electrodes are embedded on the surface of earpieces customized to the individual anatomical shape of users' ear. It has been shown that the EarEEG can be used to record SSVEPs in previous studies. However, a long distance between the visual cortex and the ear makes the signal-to-noise ratio (SNR) of SSVEPs acquired by the EarEEG relatively low. Recently, filter bank- and training data-based canonical correlation analysis algorithms have shown significant performance improvement in terms of accuracy of target detection and information transfer rate (ITR). This study implemented an online four-class SSVEPbased BCI system using EarEEG. Four subjects participated in offline and online BCI experiments. For the offline classification, an average accuracy of 82.71±11.83 % was obtained using 4 seclong SSVEPs acquired from earpieces. In the online experiment, all subjects successfully completed the tasks with an average accuracy of 87.92±12.10 %, leading to an average ITR of 16.60±6.55 bits/min. The results suggest that EarEEG can be used to perform practical BCI applications. The EarEEG has the potential to be used as a portable EEG recordings platform, that could enable real-world BCI applications.
In this issue of IEEE control Systems Magazine, we speak with João Hespanha, who is a professor and chair of the department of electrical and computerengineering and Director of the center for control, Dynamical...
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The polynomial fuzzy models are capable of modeling complex dynamic systems. They have attracted increasing attention in the recent years as the models of choice for the development of more advanced fuzzy controllers....
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ISBN:
(纸本)9781467374293
The polynomial fuzzy models are capable of modeling complex dynamic systems. They have attracted increasing attention in the recent years as the models of choice for the development of more advanced fuzzy controllers. Little effort has been made to study the models themselves though. Like many other types of models, a polynomial fuzzy model aims at describing the physical system's dynamics based on the measured input-output data of the system. Importantly, a polynomial fuzzy model that appears to mimic the measured data reasonably well does not guarantee its validity. One way to assess model's quality is to check whether its stability is consistent with that of the physical system, which is the theme of our investigation. In this paper, we first propose a type of discrete-time polynomial fuzzy dynamic models, which comprises the general Takagi-Sugeno (T-S) fuzzy model as a special case. Then, based on the Lyapunov's linearization method, a necessary and sufficient condition is established for analytically determining the local asymptotic stability of the proposed models. A numerical example is given to illustrate the effectiveness and utility of our method.
Engine calibration work requires the use of realistic simulation models for designing and testing powertrain control algorithms in offline simulations before hardware-in-the-loop, dynamometer and road testing. These m...
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Engine calibration work requires the use of realistic simulation models for designing and testing powertrain control algorithms in offline simulations before hardware-in-the-loop, dynamometer and road testing. These models should be computationally efficient for repeated offline simulation runs. Also, they should have a modular, standardized structure to make it easy for a team of engineers to work on it simultaneously. In this paper, such a modular Simulink model is developed for heavy duty vehicle powertrain dynamics. The model framework is formed using subsystems such as engine, transmission, driveline, vehicle dynamics, auxiliaries, driver, environment, test scenarios, hardware-in-the-loop and analysis. A user interface is developed to ease the model usage and also to analyze the simulation results using plots and previously defined metrics. Well established and widely accepted simulation scenarios such as drive cycle test, performance test, gradeability test, cruise test and coast-down test are coded and integrated into the user interface.
Scientific competitions are becoming more common in many research areas of artificial intelligence and robotics, since they provide a shared testbed for comparing different solutions and enable the exchange of researc...
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Scientific competitions are becoming more common in many research areas of artificial intelligence and robotics, since they provide a shared testbed for comparing different solutions and enable the exchange of research results. Moreover, they are interesting for general audiences and industries. Currently, many major research areas in artificial intelligence and robotics are organizing multiple-year competitions that are typically associated with scientific conferences. One important aspect of such competitions is that they are organized for many years. This introduces a temporal evolution that is interesting to analyze. However, the problem of evaluating a competition over many years remains unaddressed. We believe that this issue is critical to properly fuel changes over the years and measure the results of these decisions. Therefore, this article focuses on the analysis and the results of evolving competitions. In this article, we present the [email protected] competition, which is the largest worldwide competition for domestic service robots, and evaluate its progress over the past seven years. We show how the definition of a proper scoring system allows for desired functionalities to be related to tasks and how the resulting analysis fuels subsequent changes to achieve general and robust solutions implemented by the teams. Our results show not only the steadily increasing complexity of the tasks that [email protected] robots can solve but also the increased performance for all of the functionalities addressed in the competition. We believe that the methodology used in [email protected] for evaluating competition advances and for stimulating changes can be applied and extended to other robotic competitions as well as to multi-year research projects involving Artificial Intelligence and Robotics.
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