The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The estimation of software effort is an essential and crucial activity for the software development life cycle. Software effort estimation is a challenge that often appears on the project of making a software. A poor estimate will produce result in a worse project management. Various software cost estimation model has been introduced to resolve this problem. Constructive Cost Model II (COCOMO II Model)...
Recursive least square (RLS) with a single forgetting factor has been commonly used for parameter and state estimation of dynamical systems. In many applications such as robotics, electric vehicles, renewable energy systems, and smart-grid, accurate battery state of charge (SOC) and state of health (SOH) estimation is essential for the safe and efficient operation. To this end, the challenge lies...
Nowadays, the three-dunensional radar tracking has a rapid deveiopment lï'acldiig filter designs commonly rely on a linear system, while the nonlinear systems mostly occur in everyday life. The development of this fUter algorithm can solve the three-dimensional radar tracking problem by using some measurement data. In the case discussed in this paper, the target is measured by radar with distance...
This study presents the interaction suppression control of multi-copter using MPC that considers the disturbance map. The influence of wind by propellers to another quad copter is estimated beforehand and the disturbance map made from the information. The disturbance map stores the estimated disturbance value corresponding to a relative position. Also, the disturbance map is implemented in the control...
Lead-carbon Batteries as an energy storage device, its state of charge is an important parameter of the entire battery energy storage system. This paper uses the Improved Thevenin model as the battery mathematical model, and establishes the state-space equations. First of all, it fits the function relationships between the parameters and the SOC. And then it establishes a set of equations combined...
Designing model-based physical systems has growing demand in consequence of increasing system complexity. In particular, observers/estimators are extensively used for the applications requiring state or disturbance estimation. Designing and deploying such numerically intensive physical systems onto embedded targets is a challenging task that requires codesign among various stakeholders from different...
Fault detection and isolation is crucial for efficient operation and safety of any industrial process. Methods from all the areas of data analysis are being used for this task including Bayesian reasoning and Kalman filtering. In this paper authors use the discrete Field Kalman Filter for detecting and recognising faulty conditions of the system. Proposed approach, devised for stochastic linear systems...
This paper deals with a discrete predictive control design for motion control of robotic systems. The design considers time-varying state-space robot model. It is assumed that used robot state has to be estimated from measured robot outputs. These outputs represent controlled quantities including a bounded noise. Considering this arrangement, the paper introduces a novel solution to the state and...
Classical discrete-time adaptive controllers provide asymptotic stabilization. While the original adaptive controllers did not handle noise or unmodelled dynamics well, redesigned versions were proven to have some tolerance; however, exponential stabilization and a bounded gain on the noise was rarely proven. Here we consider a classical pole placement adaptive controller using the original projection...
Noise pollution has a large negative influence on the health of humans, especially in case of long-term exposure. Various passive hearing protection approaches are available. However, they often lack good protection against low frequency noise. For these applications, the principle of Active Noise Cancellation (ANC) offers a promising supplement. It relies on anti-phase compensation of the noise signal...
In this paper, a comparison of IMU-based step length and heading estimation methods for indoor environments is presented. We compared two step detection methods: detecting the stance phase in each stride and detecting negative peaks in the horizontal acceleration filtered signal. Likewise, three step length estimation methods were compared: Zero Velocity Update (ZUPT), step frequency-based and step...
Orthogonal Frequency Division Multiplexing (OFDM) technology is the preferred technique for low voltage power line communication because it can combat the frequency selective fading caused by multi-path transmission effectively. And channel estimation is one of the crucial domains of OFDM. In this paper, an improved Linear Minimum Mean Square Error (LMMSE) method is proposed which chooses the fist...
A method is proposed to predict the worst case shielding effectiveness of a board level shield (BLS). This method estimates the shielding effectiveness (SE) of the shield below and above the first resonance of a cavity formed by the BLS. The apertures of the BLS are modelled as antennas with known radiation efficiency. The estimation of the maximum field inside the cavity is used to calculate the...
The fundamental building block of spoken languages is a list of phonemes from which syllables and, hence, also words are formed. A systematic distinction between these phonemes becomes possible by the characteristic frequency components that are included in each sound. On the one hand, voiced phonemes are characterized by several sharp frequency components. On the other hand, wide, typically blurred...
This paper discusses about the estimation of warship's motion when shooting a missile to reach a moving target. We use Extended Kalman Filter-Unknown Input-Without Direct Feedthrough (EKF-UI-WDF). The proposed method is an extension of Extended Kalman Filter (EKF) and the method is able to simultaneously estimate the states and unknown input. Unknown input is any inputs without prior information from...
We developed a sequential Monte Carlo filter to estimate the states and the parameters in a stochastic model of Japanese Encephalitis (JE) spread in the Philippines. This method is particularly important for its adaptability to the availability of new incidence data. This method can also capture the variability in the incidence through time which is dependent upon various factors relating to the host...
A parametric identification problem for stochastic differential equation (SDE) with sub-fractional Brownian motion (sfBm) is considered in this paper. The task of parametric estimation is formulated as the constrained optimization problem, which is solved using a random search algorithm. This mathematical technique, used for the non-convex, non-differentiable, and possibly discontinuous objective...
The novel adaptive multiple-model target tracking algorithm presented here employs a non-asymptotic state and parameter estimator whose design hinges on a non-standard integral system representation. The same estimator can be used for target maneuver detection and isolation and hence constitutes the principal ingredient of the tracking algorithm. The algorithm does not maintain a model bank, but creates...
Both state propagation and sensor measurements are often corrupted by unmodeled non-Gaussian or heavy-tailed noise. Without dealing with such outliers, the accuracy of a estimator significantly degrades, and control systems that rely on high-quality estimation lose stability. To estimate the states of dynamic systems in which both types of outliers occur, we propose a novel approach that combines...
Meals are one of the greatest challenges to glucose regulation in diabetes mellitus type 1. Several times each day, food causes heavily elevated blood glucose concentrations that may result in long-term complications. Meal-time insulin boluses are administered to mitigate these hyperglycemic periods. Sporadic omissions of prandial boluses impair the outcome of the insulin therapy by leading to significant...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.