Genetic Algorithms (GAs) are a search heuristic modeled on the processes of evolution. They have been used to solve optimisation problems in a wide variety of fields. When applied to the optimisation of intervention schedules for optimal control problems, such as cancer chemothe…
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Active Queue Management (AQM) aims to achieve high link utilization, low queuing delay and low loss rate in routers. However, it is difficult to adapt AQM parameters to constantly provide desirable transient and steady-state performance under highly dynamic network scenarios. Th…
The level process is an integrating process that is considered to be one of the most common control problems in the process industry. The objective of this work is to analyze performance of a few optimally designed non-linear controllers for the level process, compare their perf…
Although extensive scholarly and practical attention has been paid to workplace stress in cross-cultural settings over the past decades, the comparative studies on workplace stress management between Chinese and German companies remain elusive. To fill this research gap, a compa…
The field of criminology has been dominated by Strain, Control and Social Learning Theories, among others. More recently, research and theory has focused on the role of trauma as a predictor of criminal behavior, especially for women. However, little research has empirically com…
Significant structural damages (even collapses) have been observed in past earthquakes. Seismic protective devices and innovative structural systems can be used to improve the responses and post-earthquake serviceability. This study aims to derive the optimal design of protectiv…
Real algebraic geometry has a long and beautiful history going back to the 1800s. It is the study of real polynomials using algebraic techniques. Convex optimization plays a key role in applied mathematics and engineering, studying the geometric structure of convex sets that ari…
This thesis develops a topological approach to robustness to incorrect-incomplete models in MDPs and POMDPs, and applications of this study to approximations, model learning and reinforcement learning.
In this Thesis, a Fuzzy proportional-integral-derivative (FPID) controller is presented to control the dynamics of a 3-DOF robot. A Differential Evolution (DE) optimization method was used to optimize the performance of the FPID controller. The results are compared and validated…
This thesis concerns fractional-order (non-integer) methods for control system design. Although fractional-order calculus has a long history in mathematics and engineering, the uptake of relevant fractional-order concepts in control systems research has been relatively slow, and…