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hierarchical-optimization
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Hierarchical optimal control of a binary distillation column
, Article Optimal Control Applications and Methods ; 2018 ; 01432087 (ISSN) ; Sadati, N ; Sharif University of Technology
John Wiley and Sons Ltd
2018
Abstract
This paper presents a two-level optimal control for the binary distillation column. From the control point of view, the binary distillation column is a high-order system consisting of several interconnected subsystems (trays) that aim to maximize output purity. Controlling the system in a hierarchical manner not only decreases complexity and solution time but also can improve the control structure's reliability. In this study, the distillation column is decomposed into NT second-order subsystems, each representing one stage (one tray). Accordingly, the cost function is decomposed, and thus, the overall problem is converted into NT lower-order subproblems where each tray has its own...
Hierarchical optimal control of nonlinear systems; An application to a benchmark CSTR problem
, Article 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, Singapore, 3 June 2008 through 5 June 2008 ; 2008 , Pages 455-460 ; 9781424417186 (ISBN) ; Ramezani, M. H ; Sharif University of Technology
2008
Abstract
In this paper, a novel computational algorithm is proposed for hierarchical optimal control of nonlinear systems. The hierarchical control uses a new coordination strategy based on the gradient of the coordination errors. This type of coordination extremely reduces the number of iterations required for obtaining the overall optimal solution. The performance and the convergence rate of the proposed approach, in compare to the classical gradient-type interaction prediction approach, is shown through simulations of a benchmark continuous stirred tank reactor (CSTR) problem. ©2008 IEEE
Extension and Comparing the PSTH and ICA in Order to Extract Information from Neural Point Processes
, Ph.D. Dissertation Sharif University of Technology ; Jahed, Mehran (Supervisor) ; Ghazizadeh, Ali (Co-Supervisor)
Abstract
The quantity and quality of information extracted from the brain, in addition to data collection methods, is also related to the statistical tools used. As extracting maximum information in both temporal and spatial dimension require electrophysiological approaches on the physical side, the statistical methods should be optimized to that end, on the theoretical side. The time histogram method is the most basic tool for capturing a time-dependent rate of neuronal spikes. Generally, in the neurophysiological literature, the bin size that critically determines the goodness of the fit of the time histogram to the underlying spike rate has been subjectively selected by individual researchers....