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.
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.
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Autorenporträt
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.
Inhaltsangabe
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
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
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