this study concerns with a trust-region-based method for solving unconstrained optimization problems. the approach takes the advantages of the compact limited memory bfgs updating formula together with an appropriate adaptive radius strategy. in our approach, the adaptive technique leads us to decrease the number of subproblems solving, while utilizing the structure of limited memory quasi-newt...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

In this research, an efficient Galerkin Finite Volume Method (GFVM) along with the h–refinement adaptive process and post–processing error estimation analysis is presented for fracture analysis. The adaptive strategy is used to produce more accurate solution with the least computational cost. To investigate the accuracy and efficiency of the developed model, the GFVM is compared with two versio...

This study investigated the relationship between main dimensions in the strategy-making process, environmental complexity, and performance in pharmaceutical companies of Iran. Results argue that pharmaceutical companies like other industries place differing emphasis on strategy-making and employ different modes of strategy-making. It offers a typology of different modes of strategy-making that ...

This study investigated the relationship between main dimensions in the strategy-making process, environmental complexity, and performance in pharmaceutical companies of Iran. Results argue that pharmaceutical companies like other industries place differing emphasis on strategy-making and employ different modes of strategy-making. It offers a typology of different modes of strategy-making that ...

This paper is concerned with the problem of designing a robust adaptive controller for flexible joint robots (FJR). Under the assumption of weak joint elasticity, FJR is firstly modeled and converted into singular perturbation form. The control law consists of a FAT-based adaptive control strategy and a simple correction term. The first term of the controller is used to stability of the slow dy...