tthe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. this paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. as a novelty, the proposed controller employs a simple gaussian radial-basis-function network as an uncertainty estimator. the proposed netw...

Mundlak shows that the fixed effects estimator is equivalent to random in one-way error component model once individual are modeled as a linear function of all averaged regressors over time. In spirit Mundlak, this paper result also holds for two-way and time functions across individuals. Wooldridge can be obtained pooled OLS with augmented by averages calls it estimator. While used GLS rather ...

Practitioners often encounter challenging real-world problems that involve a simultaneous optimization of multiple objectives in complex search space. To address these problems, we propose practical multiobjective Bayesian algorithm. It is an extension the widely used Tree-structured Parzen Estimator (TPE) algorithm, called Multiobjective (MOTPE). We demonstrate MOTPE approximates Pareto fronts...

The Nelson–Aalen estimator is a nonparametric estimator which may be used to estimate the cumulative hazard rate function from censored survival data (see Survival Distributions and Their Characteristics). Since no distributional assumptions are needed, one important use of the estimator is to check graphically the fit of parametric models, and this is the reason why it was originally introduce...