Read While You Wait - Get immediate ebook access, if available*, when you order a print book

SpringerBriefs in Control, Automation and Robotics

Optimal Impulsive Control for Cancer Therapy

Authors: Belfo, João P., Lemos, João Miranda

Free Preview
  • Enables cancer therapeutic design to minimize tumor size and reduce treatment toxicity
  • Promotes understanding with simulation and illustrations
  • Develops an innovative approach to therapy modelling based on established research
see more benefits

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-50488-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-50487-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

This Springer brief discusses the use of control engineering methods to plan a cancer therapy which tends to reduce tumour size in patients, striking a balance that minimizes the toxic effects of the treatment. The authors address the design and computation of impulsive control therapies, a methodology previously underexplored in the application of control methods to medical modelling. This allows simulation of such discrete events as taking a pill rather than relying on the supply of therapy being continuous and steady.

The book begins with an introduction to the topic, before moving onto pharmacokinetic, pharmacodynamical and tumour-growth models and explaining how they describe the relationship between a certain therapy plan and the evolution of cancer. This is placed firmly in the context of work introducing impulsive differential equations. The final chapter summarizes the research presented and suggests future areas of research to encourage readers in taking the subject forward.

This book is of interest to biomedical engineers, researchers and students, particularly those with a background in systems and control engineering.

About the authors

In 2018, João P. Belfo received his M.Sc. degree in Electrical and Computer Engineering with a dissertation on the design of cancer therapy based on impulsive optimal control. He is currently a grant researcher at INESC-ID.

João M. Lemos is a Full Professor of the Department of Electrical and Computer Engineering of IST, the School of Engineering of the University of Lisboa, Portugal, and Head of the Research Group on Control of Dynamic Systems of INESC-ID, where he currently develops research and teaching activities in the scientific area of systems, decision and control. His areas of activity mainly comprise applications to biomedical systems, and other areas, of adaptive, predictive and optimal control.

Professor Lemos has published more than 200 scientific papers in peer-reviewed international journals and conference proceedings; he has also (co)authored two books: a university manual on state-space-based control design (in Portuguese) and Adaptive Control of Solar Energy Collector Systems (Springer, ISBN ISBN 978-3-319-06852-7).

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-50488-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-50487-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Optimal Impulsive Control for Cancer Therapy
Authors
Series Title
SpringerBriefs in Control, Automation and Robotics
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-50488-5
DOI
10.1007/978-3-030-50488-5
Softcover ISBN
978-3-030-50487-8
Series ISSN
2192-6786
Edition Number
1
Number of Pages
IX, 102
Number of Illustrations
4 b/w illustrations, 56 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.