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Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

2019

Optimization

Iowa State University

Electrical and Computer Engineering

Articles 1 - 3 of 3

Full-Text Articles in Engineering

Data-Driven System Modeling And Optimal Control For Nonlinear Dynamical Systems, Apurba Kumar Das Jan 2019

Data-Driven System Modeling And Optimal Control For Nonlinear Dynamical Systems, Apurba Kumar Das

Graduate Theses and Dissertations

With the increasing complexity of modern industry processes, robotics, transportation, aerospace,

power grids, an exact model of the physical systems are extremely hard to obtain whereas abundant

of time-series data can be captured from these systems. This makes it a important and

demanding research area to investigate feasibility of using data to learn behaviours of systems and

design controllers where the end goal generally evolves around stabilization. Transfer operators

i.e. Perron-Frobenius and Koopman operators play an undeniable role in advanced research of

nonlinear dynamical system stabilization. These operators have been a alternate direction of how

we generally approach dynamical ...


Applications Of Fixed Point Theory To Distributed Optimization, Robust Convex Optimization, And Stability Of Stochastic Systems, Seyyed Shaho Alaviani Jan 2019

Applications Of Fixed Point Theory To Distributed Optimization, Robust Convex Optimization, And Stability Of Stochastic Systems, Seyyed Shaho Alaviani

Graduate Theses and Dissertations

Large-scale multi-agent networked systems are becoming more and more popular due to applications in robotics, machine learning, and signal processing. Although distributed algorithms have been proposed for efficient computations rather than centralized computations for large data optimization, existing algorithms are still suffering from some disadvantages such as distribution dependency or B-connectivity assumption of switching communication graphs. This study applies fixed point theory to analyze distributed optimization problems and to overcome existing difficulties such as distribution dependency or B-connectivity assumption of switching communication graphs. In this study, a new mathematical terminology and a new mathematical optimization problem are defined. It is ...


Enhancing The Performance Of Energy Harvesting Wireless Communications Using Optimization And Machine Learning, Ala'eddin A. Masadeh Jan 2019

Enhancing The Performance Of Energy Harvesting Wireless Communications Using Optimization And Machine Learning, Ala'eddin A. Masadeh

Graduate Theses and Dissertations

The motivation behind this thesis is to provide efficient solutions for energy harvesting communications. Firstly, an energy harvesting underlay cognitive radio relaying network is investigated. In this context, the secondary network is an energy harvesting network. Closed-form expressions are derived for transmission power of secondary source and relay that maximizes the secondary network throughput. Secondly, a practical scenario in terms of information availability about the environment is investigated. We consider a communications system with a source capable of harvesting solar energy. Two cases are considered based on the knowledge availability about the underlying processes. When this knowledge is available, an ...