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In this paper, an interal observer for both state and unknown input estimation is proposed for a Linear Time Invariant (LTI) system. It generalizes previous work done on the subject. Such an observer is constructed under some specific conditions. Among those conditions, a rank condition is needed to ensure the independence between the state estimation and the unknown input. In this paper, former proposed...
In this paper, a power system model is proposed to achieve a decentralized voltage control scheme. A stabilizing controller design is presented to solve the voltage regulation problem with output feedback. The model is intended to be an exact representation of frequency and terminal voltage, which will allow us to cope with time-varying parameter uncertainties, and also unknown design parameters of...
In this paper, we investigate distributed consensus problems for multiple miniature aerial vehicles (MAVs) with nonlinear dynamics and uncertainty. We develop distributed consensus protocol to solve regulation synchronization problem for leaderless MAVs with directed interaction topology. Adaptive control algorithms are used locally for each vehicle to deal with nonlinear dynamics and uncertainty...
In many real-life situations, we know the upper bound of the measurement errors, and we also know that the measurement error is the joint result of several independent small effects. In such cases, due to the Central Limit Theorem, the corresponding probability distribution is close to Gaussian, so it seems reasonable to apply the standard Gaussian-based statistical techniques to process this data...
The ability to conduct fast and reliable simulations of dynamic systems is of special interest to many fields of operations. Such simulations can be very complex and, to be thorough, involve millions of variables, making it prohibitive in CPU time to run repeatedly for many different configurations. Reduced-Order Modeling (ROM) provides a concrete way to handle such complex simulations using a realistic...
Uncertainty based active learning has been well studied for selecting informative samples to improve the performance of the classifier. One of the simplest strategy is that we always select samples with top largest uncertainties for a query. However, the selected samples may be very similar to each other, which results in little information added to update the classifier. In other words, we should...
The expert selection is an important decision problem in the research and development process of complex product systems (CoPS) projects and suitable experts will facilitate the successful task achievement. Existing methods for the expert selection are mostly based on the individual performance, whereas the task characteristics of CoPS projects and the knowledge correlationship between candidates...
The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral approach, while the fields of economics and sensorimotor control...
This paper investigates the uncertainty of the day-ahead distribution system scheduling considering the random variations of both Photovoltaic-based distributed generator (PV-DG) output power and load. Instead of Monte-Carlo simulation (MCS), a two-point estimation method (2PEM) is applied to obtain accurate and computation-efficient analysis results. Based on the two-year real-world hourly weather...
Proactive cognitive agents need to be capable of both generating their own goals and enacting them. In this paper, we cast this problem as that of maintaining equilibrium, that is, seeking opportunities to act that keep the system in desirable states while avoiding undesirable ones. We characterize desirability of states as graded preferences, using mechanisms from the field of fuzzy logic. As a result,...
For the problem of multi-sensor data fusion on the decision level, an evidence fusion method based on the modified support degree distribution method is proposed. First, starting from the viewpoint of classical evidence fusion formula, the reason why confidence paradox is generated is analyzed and the general rule of generating confidence paradox is achieved; second, with analysis of support degree...
This paper highlights the necessity of the rider weight consideration during observer's design for motorcycle dynamics estimation or control. It presents a novel approach using a linear parameter varying (LPV) model associated with the well-know Takagi-Sugeno (TS) methods to derive a robust observer regarding the rider weight uncertainty. Then the proposed solution is illustrated with an application...
Quadrotors, like any dynamical system, are subjected to model uncertainties which may cause instability and inaccuracy in navigation. In addition, the presence of input constraints violates the affine property which, as a result, adds additional challenges and complicates designing the control system for quadrotors. In this paper, an adaptive nonlinear control algorithm is designed to overcome these...
Pervasive mobile games utilise contextual data about players and their environment to explore new means of interaction and enhance the gaming experience. However, the inherent imperfection of contextual data acquisition poses a challenge for developers and designers of pervasive games. In these games, both sensor inaccuracies and uncertainties need to be identified and properly handled to prevent...
The identification of online robot is important for managing the internet order, such as forbidding spam, fictitious information, and inductive words published by online robot to mislead the public. We studied the behaviors of the WeChat users to identify online robot, including turning pages, scanning the web, and forwarding posts. In fact, the amount and time interval of information forwarding were...
The paper is dedicated to a direct sensitivity analysis of a generic piezoelectric energy harvester working in a fluid flow. The aim of the analysis is to obtain a better knowledge about such kind of devices. The energy harvester has a beam-type structure which incorporates a piezo-active material. Under the action of the fluid flow induced forces the structure performs random vibrations. Due to the...
Information systems have become necessary component of the modern world. They encompass all areas of the human activities. Each area imposes its own, individual specifics, which leads to solve a number of unique problems to each of the system. Fuzzy methods allow an optimal way to overcome the difficulties that arise in any information system.
The article considers the stages of constructing the Bayesian network of trust for modeling complex natural processes with the unpredictability effect, as well as its structure, training and simulation results.
General approaches to the modeling of adaptive organizational systems are formed in the paper. The approach is based on the possibility of representing the organizational system by a family of models. They must represent certain levels of the organization that simultaneously possess the specified property. As an instrument for ensuring adaptability, appropriate management is considered. Uncertainty...
Proportional-integral-derivative (PID) controller is popular algorithm in structure vibration control. In order to maintain minimum regulation error, the PID control require big proportional and derivative gains. The control performances are not satisfied because of the big uncertainties in the buildings. In this paper, the type-2 fuzzy system is applied to compensate the unknown uncertainties, and...
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