Control Applications for Biomedical Engineering Systems
Published on 24. January 2020
Book
Paperback/Softback
476 pages
978-0-12-817461-6 (ISBN)
Description
Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering students, it presents the application of various techniques already learned in theoretical lectures in the biomedical arena. For biomedical engineering students, it presents solutions to various problems in the field using methods commonly used by control engineers.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Students and Researchers in the following fields: Biomedical engineering: biomedical control systems, physiological control systems, biorobotics.Control Engineering: Sliding mode controller, active and adaptive control methods, feedback control method, linear and nonlinear control methods, and scalar signal technique. Electrical and Electronics Engineering: biosensors, sensor circuits, control circuits, and medical instrumentation circuits.Mathematics and Applied Mathematics: Numerical simulations of linear systems, Numerical simulations of nonlinear systems, optimization.Computer Engineering: Imbedded control systems, algorithms and simulation issues
Illustrations
Approx. 150 illustrations
Dimensions
Height: 229 mm
Width: 152 mm
Weight
750 gr
ISBN-13
978-0-12-817461-6 (9780128174616)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ahmad Taher Azar
Control Applications for Biomedical Engineering Systems
E-Book
01/2020
Academic Press
€131.00
Available for download
Person
Ahmad Azar is a Research Associate Professor at the Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is also an associate professor at the Faculty of Computers and Artificial intelligence, in Benha University, Egypt. He is the Editor in Chief of the International Journal of System Dynamics Applications (IJSDA), International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), and International Journal of Intelligent Engineering Informatics (IJIEI), among others. He is currently Associate Editor of ISA Transactions, Elsevier, and the IEEE systems journal. Dr. Azar works in the areas of control theory & applications, process control, chaos control and synchronization, nonlinear control, renewable energy, computational intelligence.
Content
1. Neuro-fuzzy inverse optimal control incorporating a multistep predictor as applied to T1DM patients
2. Blood glucose regulation in patients with type 1 diabetes by means of output-feedback sliding mode control
3. Impulsive MPC schemes for biomedical processes: Application to type 1 diabetes
4. Robust control applications in biomedical engineering: Control of depth of hypnosis
5. Robust control strategy for HBV treatment: Considering parametric and nonparametric uncertainties
6. A closed loop robust control system for electrosurgical generators
7. Application of a T-S unknown input observer for studying sitting control for people living with spinal cord injury
8. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge
9. Reinforcement learning-based control of drug dosing with applications to anesthesia and cancer therapy
10. Control strategies in general anesthesia administration
11. Computational modeling of the control mechanisms involved in the respiratory system
12. Intelligent decision support for lung ventilation
13. Customized modeling and optimal control of superovulation stage in in vitro fertilization (IVF) treatment
14. Models based on cellular automata for the analysis of biomedical systems
2. Blood glucose regulation in patients with type 1 diabetes by means of output-feedback sliding mode control
3. Impulsive MPC schemes for biomedical processes: Application to type 1 diabetes
4. Robust control applications in biomedical engineering: Control of depth of hypnosis
5. Robust control strategy for HBV treatment: Considering parametric and nonparametric uncertainties
6. A closed loop robust control system for electrosurgical generators
7. Application of a T-S unknown input observer for studying sitting control for people living with spinal cord injury
8. Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge
9. Reinforcement learning-based control of drug dosing with applications to anesthesia and cancer therapy
10. Control strategies in general anesthesia administration
11. Computational modeling of the control mechanisms involved in the respiratory system
12. Intelligent decision support for lung ventilation
13. Customized modeling and optimal control of superovulation stage in in vitro fertilization (IVF) treatment
14. Models based on cellular automata for the analysis of biomedical systems