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This paper concerns with a problem of robust residuals generation on a system with structured uncertainty such that the designed signatures can be used to isolate sensor faults simultaneously. The proposed solution of this problem is executed by using a filter and a transformation matrix. The filter is used to generate the dynamic of system errors. Moreover the scheme consists of two stages. The first...
Project selection is a complex multi-criteria decision making process that is influenced by multiple and often conflicting objectives. The complexity of the project selection problem is mainly due to the high number of projects from which an appropriate collection (an effective portfolio) of investment projects must be selected. This paper presents a new conception of a hybrid framework for construction...
Probabilistic approaches are extensively used to solve high-dimensionality problems in many different fields. The particle filter is a prominent approach in the field of Robotics, due to its adaptability to non-linear models with multi-modal distributions. Nonetheless, its result is strongly dependent on the quality and the number of samples required to cover the space of possible solutions. In contrast,...
The shape and center of mass of a part are crucial parameters to algorithms for planning automated manufacturing tasks. As industrial parts are generally manufactured to tolerances, the shape is subject to variations, which, in turn, also cause variations in the location of the center of mass. Planning algorithms should take into account both types of variation to prevent failure when the resulting...
In this paper, we show the design method of the networked control system with structured uncertainty. In this system, the plant and the controller are connected with a communication bus. The plant and controller are denoted as LTI-system, but the communication bus has a periodic characteristic. So that the whole of the system characteristics is denoted as a periodic system. In this paper, we consider...
This paper focuses on a robustness controller and the performance of a permanent magnet synchronous machine (PMSM) with parameter uncertainty. The proposed controller is composed by a model reference adaptive current controller and a torque compensator. An internal model of the PMSM is introduced to define the transient reference behavior of the current and torque. A simple adaptation rule of the...
An uncertainty calculation method for the D-band power meter calibration factor is reported. In this method, the propagation of uncertainty from type-B uncertainty components is calculated using the Monte Carlo method. Then, the combined standard uncertainty is calculated as the square root sum of the uncertainty propagation and waveguide flange connection repeatability.
This paper describes the robust suboptimal algorithm for a time-varying plant with unknown parameters and an uncontrollable disturbance. The algorithm provides minimization of a performance index with a given accuracy and transfers the plant from the known initial point to the known final point. Efficiency of the proposed scheme is illustrated by modeling.
In this study an adaptive fuzzy terminal-based neuro-sliding mode control (AFTNSMC) was proposed for control of ankle joint using intraspinal microstimulation (ISMS). The controller is based on the combination of an adaptive terminal-based neural controller with sliding-mode control (SMC). The most advantage of terminal dynamics is the fast convergence compared to the conventional gradient descent...
Requirement on accuracy of geometrical size of axis parts is very high. By adopting traditional contact measuring methods may scratch the work piece, and it has disadvantages like high cost and low efficiency. Axis part meter of light curtain style has adopted optics non-contact measurement, so it has perfectly solved problems like this. In the paper, in-depth analysis of image de-noising principle...
The trust is one of the crucial and important factors for decision making in online social network. In this paper, we compute explicitly the level of trust, distrust and uncertainty between two users using social interactions. The study of social interactions is fundamental to understanding the dynamics of relationships between users and their behaviors in the social network. We use later this formulation...
The expanded measurement uncertainty of both the measurement of radiated emission and the measurement of electromagnetic field immunity depends mostly on the field distribution within the testing volume. In general, that uncertainty contribution has to be estimated from sampled measurement data. In most cases this results in an overestimation. The estimate can be reduced by exact knowledge of the...
In this paper we show an alternative mathematical interpretation of the error propagation law for complex quantities established in supplement 2 of the GUM [1]. We use this interpretation to study VNA's one port reflection measurement which includes several terms that represent complex quantities. We show two different approaches to solve the problem that arises when trying to establish the variance...
This paper proposes the implementation of Fuzzimetric Arcs concept, which was originally designed for Fuzzy Type-1. The concept has been extended in this paper to accommodate the Fuzzy type-2 notation. The new proposed representation of Fuzzy Type-2, termed in this paper as Fuzzimetric Type-2, includes the definition of “Degree of Fuzziness” (DOF), that allows the fuzzy set to be located fuzzily (randomly)...
Modern techniques rely on convex relaxation to derive tractable approximations for rank-sparsity decomposition. However, the resultant precision loss usually deteriorates the performance in real-world applications. In this paper, we focus on the topic of visual saliency detection and consider the inherent uncertainty existing in observations, which may originate from both low-rank and sparse components...
With the development of web technologies, there is lots of information on the web. For effective web searching, the recommendation systems appear on the web. The recommendation systems provide customized information for the personal users. The conventional processes of the recommendation are generally based on the user preferences for the items. This leads to the cold-start problems for new items...
Differential uncertainty is involved in actual system inevitably. That brings great inconvenience for the controller design. In this paper we treat the differential uncertainty as a separate item, and use the robust control theory to analyze the robust performance. Considering the impact of parameter variations, un-model dynamics and external disturbances, we design robust H2/H8 controller. We use...
To improve the performance of the missile interceptors against modern air-defense threats such as ballistic missiles, a new integrated missile guidance and control with sliding mode differentiator and neural network algorithm is proposed in this paper. The three dimensional target and missile relative kinematics are firstly established based on which the zeroing line-of-sight (LOS) angular velocity...
The relative equations between interceptor and target are conducted in rotation coordinate of Line of Sight. An error propagate model of LOS rate is established which is based on CADET (Covariance Analysis Describing Function Technique). This model takes several factors into consideration, such as estimate error of LOS rate, acceleration saturation of interceptor, sampling rate. A set of analytical...
Integrated guidance and control laws have the potential to improve the overall performance of missile systems by taking advantage of the synergism existing between the subsystems. This paper examines the proposed integrated guidance and control by using sliding-mode and back-stepping method to the engagement of ground-fixed targets. Firstly, the basic longitudinal mathematical integrated guidance...
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