Designing A Robust Controller To Minimize The Growth Of Cancer Cells Linked With Obesity

Obesity defines as excess adipose tissue and results from getting more calories than are burned bynormal activities. Diabetes, cardiovascular disease, obstructive sleep apnea, and asthma are somemajor diseases that are associated with the obesity. Recently, obesity-cancer relationship has beenstudied carefully and shown that obesity is associated with increased risk of several cancer typessuch as colorectal, esophageal, kidney, pancreatic, thyroid, endometrial, gallbladder, breast,leukemia, and rectal. Discerning molecular and cellular mechanism of the obesity-cancer could be apersuasive way to recognizing the exact regeneration of the cancer cells and understand how theygrow in order to control them. Mathematical modeling of the obesity-cancer connection is aneffective technique for this analyzing. In this study, a mathematical model of cancer tumor growthwith the immune system response and the effect of the obesity on the cancerous organs isinvestigated. The Interactions between tumor cells, healthy cells, immune cells, and adipose cellsare considered, and different control schemes are examined to control the growth of cancer cells inthe presence of obesity. Controlling the contribution of the fat to the tumor growth is the maintarget and result of the controller. It was shown that by using a robust controller, the connectionbetween the fat and cancer cells has reached the least level and is promising for future usage tobring back hope to the people that are engaged with obesity. All of the simulations and controllerdesigning were performed in MATLAB-SIMULINK environment.