introduction: several techniques are used to evaluate decision making units in dmus with a restricted multiplier. dea is recognized as a methodology widely used to evaluate the relative efficiency of a set of decision-making units (dmus) involved in a production process. this approach assumes that the input and output data of the different decision making units (dmus) are measured with precisio...

Abstract Traditional approaches for process optimization start by fitting a model and then optimizing the model to obtain optimal operating settings. These methods do not account for any uncertainty in the parameters of the model or in the form of the model. Bayesian approaches have been proposed recently to account for the uncertainty on the parameters of the model, assuming the model form is ...

We present a new method of learning control policies that successfully operate under unknown dynamic models. We create such policies by leveraging a large number of training examples that are generated using a physical simulator. Our system is made of two components: a Universal Policy (UP) and a function for Online System Identification (OSI). We describe our control policy as universal becaus...

In this paper, we consider the robust optimal portfolio selection problem where the return mean and covariance are supposed to be uncertain comparing to Markowitz’s model. The return mean is uncertain changing in intervals, and we introduce the cuts of fuzzy number to build the uncertain intervals for covariance. We report on empirical tests in which we compare the robust model with the classic...

This paper extends the robust Bayesian inference in misspeci…ed models of Müller (2013, Econometrica) to Bayesian model selection of a set of misspeci…ed models. It is shown that when a model is misspeci…ed, under the Kullback-Leibler loss function, the risk associated with Müller’s posterior is less (weakly) than that with the original posterior distribution asymptotically. Based on this new r...

This short note points out an improvement on the robust stability analysis for electrically driven robots given in the paper. In the paper, the author presents a FAT-based direct adaptive control scheme for electrically driven robots in presence of nonlinearities associated with actuator input constraints. However, he offers not suitable stability analysis for the closed-loop system. In other w...

in this paper, the 1/4 vehicle model have been simulated. the vehicle body acceleration using optimal control has been optimized. the vehicle ride comfort is achieved by using robust control, and it has been compared with optimal control. the active suspension can help the vehicle to have a good dynamic behavioral. in this paper, two degrees of freedom dynamic vibration model of a general vehic...