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...