International Conference on Information and Knowledge Technology

فارسی

Home / سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Non-Linear Control of Cancer Model, Considering the Drug Resistance Using Feedback Based Chemotherapy Approach

Authors :

Danial Kiaei¹ Hami Tourajizadeh²

1- دانشگاه خوارزمی 2- دانشگاه خوارزمی

Keywords :

cancer model،mutation rate،drug resistance،cancer control،feedback linearization

Abstract :

In this paper a nonlinear controller is designed and implemented on the dynamic of the cancer model in which the mutation phenomenon is considered. Since, one of the most important challenges of the traditional treatments of the cancer is drug resistance, dynamic model of the cancer with mutation rate is considered in this article for design and implementation of a proper controller. Moreover, existence of mutation, neutralizes the positive effect of the conventional open loop treatment algorithms. For this illness condition, using feedback based control results in a faster and more stable cure of the patients. As a result Feedback Linearization (FL) strategy is opted here to determine the required feedback based dosage of the controlling input of the chemotherapy drug. It is shown that using the proposed controller, can extremely increase the efficiency of the cancer treatment and avoid the overshoot the proliferation of the cancer cells’ during the treatment.

List of archived papers

توسعه مدل مفهومی طراحی فرآیند مدیریت بحران سیلاب از طریق بهینه سازی استفاده از دستگاه های اینترنت اشیاء (IoT Devices) در تصمیم گیری

محمود رسولی - سید احسان ملیحی

An Efficient Link Prediction Method using Community Structures

Dr Hadi Shakibian - Setareh Mokhtari

Reinforced Detection: Deep Reinforcement Learning for Binary VoIP Classification in Encrypted Traffic

Mohsen Rajabpour - Mohammadmoein Asefi - Siavash Khorsandi

A Survey on Utilizing Reinforcement Learning in Wireless Sensor Networks Routing Protocols

Ali Forghani Elah Abadi - Seyedeh Elham Asghari - Sepideh Sharifani - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti

Predicting Concentration of Particulate Matter (PM2.5) in Hamedan using Machine Learning Algorithms

Anita Karim Ghassabpour - Hatam Abdoli - Muharram Mansoorizadeh - Saeid Seyedi

A High-Speed Quantum Reversible Controlled Adder/Subtractor Circuit

Negin Mashayekhi - Mohammad Reza Reshadinezhad - Shekoofeh Moghimi

امنیت در اینترنت اشیا؛ معماری، کاربرد‌ها، چالش‌ها و راهکارها

مهدی موسی وند - دکتر پیام محمودی نصر مهدی موسی وند - پیام محمودی نصر -

NFV-Based Distributed Service Function Chaining with Imperfect Information

Mahsa Alikhani - Marzieh Sheikhi - Dr Vesal Hakami

شناسایی جایگاه مالونیلاسیون در پروتئین‌ها با بهره‌گیری از استخراج ویژگی و تکنیک‌های پردازش زبان طبیعی

حنانه رجبیون - محمد قاسم زاده - وحید رنجبر بافقی

An Enhanced Fuzzy Rule-Based Method for Coronary Artery Disease Risk Prediction Using Weighted and Biased Rules

Fatemeh Ahmadi - Mohammad Javad Parseh - Ehsan Amiri

more

Samin Hamayesh - Version 44.2.0