This paper addresses the localization problem for a mobile robot navigating in an unstructured outdoor environment. A new technique is introduced, for computing an estimate of the position of the robot and the related uncertainty region, in the presence of visual angle measurements affected by bounded errors. The proposed set membership estimation procedure exploits the structure of the static ...

This paper proposed a novel adaptive robust backstepping control scheme for DC-DC buck converter subjected to external disturbance and system uncertainty. Uncertainty in the load resistance input voltage represent big challenge control. In this work, an estimator matched mismatched uncertainties based is applied converter. The updating laws are determined on lyapunov theorem. Thus, difference b...

We present two robust detectors for nonstationary random signals that belong to p-point uncertainty classes, one being based on an estimator-correlator approach, the other using the deflection criterion. Apart of stable performance, these robust detectors have the advantage of requiring only reduced prior knowledge. Using local cosine bases, we provide an intuitive and highly efficient timefreq...

This paper discusses the negative impact of errors in the time datation of data as they are gathered accross a distributed newtork of sensors to be treated by a centralized monitoring algorithm. An example of flow monitoring serves as basis for the analysis. Using a simple probability model, we establish the variance of an estimator serving for loss detection and show how it varies with the tim...

This paper addresses the problem of position tracking control of robot manipulators in the presence of parametric uncertainty and additive periodic disturbances. Specifically, a self tuning, Lyapunov-based adaptive controller with desired dynamics compensation term and a disturbance estimator has been designed to ensure that the link position tracking error converges to zero asymptotically, des...

the gastric cancer in iran is the fourth in the general population. this study was designed to determine the five-year survival rate of gastric cancer patients, and to assess its associated factors. we analyzed the data using a time-dependent covariates model, and recommend it for analyses of similar data. 281 gastric cancer patients with adenocarcinomatous pathology who had been operated on at...

This study proposes a point estimator of the break location for one-time structural in linear regression models. If magnitude is small, least-squares date has two modes at ends finite sample period, regardless true location. To solve this problem, I suggest an alternative based on modification objective function. The modified function incorporates estimation uncertainty that varies across poten...

Mobile robots are widely used in many applications, while various types of mobile and their control researches have been proposed literature. Since swarm higher flexibility capacity for teamwork, this paper presents a grey estimator-based tracking controller formation trajectory robots. First, wheel-type modeled the design. Then, dynamic estimator is developed to estimate environmental disturba...

Tail probability plays an important part in the extreme value theory. Sometimes conclusions from two approaches for estimating tail of events, Bayesian and frequentist methods, can differ a lot. In 1999, rainfall that caused more than 30,000 deaths Venezuela was not captured by simple techniques. However, this catastrophic surprising if inference used to allow parameter uncertainty full availab...

The forensic economics literature hosts a continuing debate about the appropriateness of using historical verses current rates to predict future net discount rates. If the net discount rate series is stationary, which means that shocks are transitory and the series reverts to a long-term mean value, estimates based on historical values are reasonable. Alternatively, if the series exhibits a uni...