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This paper presents an investigation of a real-time predictive control technique for robust vibration suppression and disturbance rejection of aircraft with structural damage. A generalized predictive control approach with damage identification is developed for time-varying systems with damage. The real-time identified model, which is expressed as the prediction matrices, is updated from time-domain...
Structural methods in model-based fault diagnosis applications are simple and efficient tools for finding candidates for residual generation. However, the structural methods do not take model uncertainties and information about fault behavior into consideration. This may result in selecting residual generators with bad performance to be included in the diagnosis system. By using the Kullback-Leibler...
The paper propose new method for identifying non-asymptotic confidence regions for linear regression parameter under external arbitrary noise. This method called Modified Sign-Perturbed Sums (MSPS) method and it is a modification of previously proposed one, called Sign-Perturbed Sums which is applicable only in case of symmetrical centred noise. MSPS algorithm correctness and obtained confidence region...
Human generates very slow (<1[Hz]) and large (>20[mm]) body sway. This sway is considered to reflect the characteristic of human neural control. We propose a human control model with nonlinearlity and the effect of nonlinearlity is considered by mathematical analysis and simulation. As a result, we found that the proposed model has bifurcation structure with the magnitude of control gain. We...
A potential technology by silicon interposer enables high bandwidth and low power application processing devices of the future, because the demand of smart mobile products are driving for higher logic-to-memory bandwidth (BW) over 30 GB/s with lower power consumption and ultra-memory capacity. This paper presents a 2.5D-IC structure with silicon interposer to demonstrate electrical performances including...
Many recent studies describe micromanipulation systems by using complex Analytic Forward Models (AFM), but such models are difficult to build and incapable of describing unmodelable factors, such as manufacturing defects. In this work, we propose the Enhanced Analytic Forward Model (EAFM), an integrated model of the AFM and the Heteroscedastic Gaussian Processes (HGP). The EAFM can compensate the...
Sensor localization is a basic and important task of wireless sensor networks, and abundant localization algorithms have been proposed based on various ranging techniques, including time-of-arrival (TOA), time-difference-of-arrival (TDOA), received signal strength (RSS), angle-of-arrival (AOA) and etc. The accuracy of these ranging techniques rely on the line-of-sight (LOS) propagation of signals,...
This paper introduces a leakage model in the frequency domain to enhance the efficiency of Side Channel Attacks of CMOS circuits. While usual techniques are focused on noise removal around clock harmonics, we show that the actual leakage is not necessary located in those expected bandwidths as experimentally observed by E. Mateos and C.H. Gebotys in 2010. We start by building a theoretical modeling...
This paper presents an in-depth study on how the magnitude of simultaneous switching output (SSO) noise is affected by on-chip supply grid resistances. A key observation of the study is that under certain circumstances, increasing the resistance of certain parts of a supply grid can be very effective in reducing SSO noise, and the gain from SSO noise reduction can significantly outweigh the resulted...
A potential technology by substrate interposer enables high bandwidth and low power application processing devices of the future, because the demand of smart mobile products are driving for higher logic-to-memory bandwidth (BW) over 30 GB/s with lower power consumption and ultra-capacity of memory. This paper presents a new High Bandwidth Package-on-Package (HB-PoP) structure with substrate interposer...
Based on recent theoretical and empirical developments this paper proposes an agent-based model for market impact. Three types of agents are present on the market: Liquidity consumers, liquidity providers and noise traders. The first group creates large orders based on portfolio considerations. When they submit an order to the market they split it up into smaller parts to evade price impact costs...
Data usage has grown immensely in today's data sound and information poor technology age. Automated data collection tools and processes have led to the massive size of data stored in data marts and data warehouses, but a considerable amount of this data goes unutilized for information discovery. Data analytics in such enormous data has become increasingly challenging due to the growing variety, velocity,...
When a single bit is flipped as a result of a transient error in an electronic circuit, its effect can have a severe impact if the circuit is deployed in safety critical domains such as automotive, aeronautics, and industrial automation. In the design phase it is therefore essential to evaluate, and where necessary improve, the resilience of a circuit to all possible transient errors. In this paper,...
Estimating extremely low SRAM failure-probabilities by conventional Monte Carlo (MC) approach requires hundreds-of-thousands simulations making it an impractical approach. To alleviate this problem, failure-probability estimation methods with a smaller number of simulations have recently been proposed, most notably variants of consecutive mean-shift based Importance Sampling (IS). In this method,...
The paper describes an approach for semi-symbolic analysis of mixed-signal systems that contain discontinuous functions, e.g. due to modeling comparators. For modeling and semi-symbolic simulation, we use extended Affine Arithmetic. Affine Arithmetic is currently limited to accurate analysis of linear functions and mild non-linear functions, but not yet discontinuities. In this paper we extend the...
The ability of having a sparse representation for a certain class of signals has many applications in data analysis, image processing, and other research fields. Among sparse representations, the cosparse analysis model has recently gained increasing interest. Many signals exhibit a multidimensional structure, e.g. images or three-dimensional MRI scans. Most data analysis and learning algorithms use...
Power Line Communication (PLC) is a kind of communication technology which uses low-voltage power line as the signal transmission medium to realize the data transmission and exchange of information. In this paper, three characteristics of the low-voltage power line signal including impedance, noise and attenuation were analyzed, while with the basic model of the channel built, the advantages of BPSK...
We often use a discrete time vector autoregressive (DVAR) model to analyse continuous time, multivariate, linear Markov systems through their time series data sampled at discrete time steps. However, the DVAR model has been considered not to be structural representation and hence not to have bijective correspondence with system dynamics in general. In this paper, we characterize the relationships...
In this paper we aim to examine emergent properties of agent-based models by using evolutionary algorithms. Taking the model of flocking boids as an example, we study and try to understand how the pressure of natural selection towards strategic behavior can result in emergent behavior. Furthermore we investigate how an increase of complexity in the model affects those properties and discover some...
This paper is conducted a research of the cable and filter design considering the deep sea floor environment. The electric architecture which is being used in the subsea plant is comprised of the power supply unit of the high voltage, high-capacity drive system, long cable, and electric motor in the sea area. Conducted emission is occurred by the rapid voltage change at the moment of switching at...
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