Yousef Sardahi | University of California, Merced (original) (raw)

Papers by Yousef Sardahi

Research paper thumbnail of Multi-Objective Optimization of Time-Delayed Fractional-Order Damping for Better Step Response

Volume 4B: Dynamics, Vibration, and Control, 2015

In this paper, a multi-objective optimization of a time-delayed fractional order damping system i... more In this paper, a multi-objective optimization of a time-delayed fractional order damping system is presented. In previous studies, a single objective optimization of this system was based on minimizing the integral of the squared error JISE, integral of the time-weighted squared error JITSE, integral absolute error JIAE, or integral time-weighted absolute error JITAE. However, from the practical point of view other design goals such as those related to system’s response and stability should be also included since an error-based optimized system can result in a system having the smallest error but at the expense of other crucial objectives. Moreover, the one-objective optimization returns only one design option hiding many important details about other possible design preferences. Here, the system under study is optimized by considering three objectives: peak time tp, the percentage overshoot Mp(%), and JISE. The results show that the multi-objective optimization technique provides m...

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Research paper thumbnail of Multi-Objective Optimal Regulation of Glucose Concentration in Type I Diabetes Mellitus

Journal of Engineering and Science in Medical Diagnostics and Therapy

Type I, or insulin-dependent diabetes mellitus, is a chronic disease in which insulin is not adeq... more Type I, or insulin-dependent diabetes mellitus, is a chronic disease in which insulin is not adequately produced by the pancreatic β-cells, which leads to a high glucose concentration. In practice, external insulin delivery is the only method to deal with this disease. To this end, a multi-objective optimal control for insulin delivery is introduced in this paper. Three conflicting objectives, including minimizing the risk of hypoglycemia and hyperglycemia, and reducing the amount of injected insulin, are considered. These objectives are minimized simultaneously while tuning the closed-loop system parameters that include the design details of the linear-quadratic regulator (LQR) and estimator speed of convergence. The lower and upper bounds of the LQR setup parameters are determined by Bryson’s rule taking into account the nominal glucose range (70−160 mg/dL) and maximum and minimum pump infusion rates (0.0024−15 mU/min). The lower and upper bounds of the estimator convergence spee...

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Research paper thumbnail of Simple cell mapping method for multi-objective optimal feedback control design

International Journal of Dynamics and Control, 2013

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Research paper thumbnail of Intelligent control of glucose concentration based on an implantable insulin delivery system for type I diabetes

In this paper, the performance of a closed-loop Proportional-Integral-Derivative (PID) fuzzy logi... more In this paper, the performance of a closed-loop Proportional-Integral-Derivative (PID) fuzzy logic controller (FLC) is evaluated as an automation scheme for an implantable insulin delivery system in type I diabetes therapy. The incredible progression in micro and nanotechnology has brought the concept of an “artificial pancreas” closer to reality. Manufacturing miniaturized, implantable insulin sensing and delivery devices are in fact feasible. The key to a successful implantable delivery system is the development of a self-regulated arrangement that mimics the performance of the real pancreas. The PID-FLC can be an effective control strategy for implantable insulin delivery system. It combines all the necessary components that react to the possible changes of glucose concentration in the blood stream. This paper is concerned with the parallel structure design of the PID-FLC which is achieved by combining the Proportional-Integral (PI-FLC) and Proportional-Derivative (PD-FLC) controllers. The PID-FLC is implemented on the nonlinear delay differential model of the glucose-insulin regulatory system, which describes how glucose and insulin interact in healthy individuals. Compared with other controlling approaches, the PID-FLC gives more than satisfactory results in maintaining near-normal glycemia and saving the amount of the daily delivered insulin.

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Research paper thumbnail of Optimal PI-fuzzy logic controller of glucose concentration using genetic algorithm

International Journal of Knowledge-based and Intelligent Engineering Systems, 2011

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Research paper thumbnail of Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients

In this paper, an optimal PID-FLC (Proportional Integral Derivative Fuzzy Logic Controller) is pr... more In this paper, an optimal PID-FLC (Proportional Integral Derivative Fuzzy Logic Controller) is proposed. The design of this system aims to control blood glucose elevation in type 1 diabetic patients. An automated system integrated with a miniaturized insulin infusion pump and a continuous biosensor that measures the glucose level has been developed recently to replace beta cells in the pancreas. The main contribution of the paper is that it introduces an automated insulin delivery system based on a parallel PID-FLC structure tuned with genetic algorithms. This control system was compared to an optimal PIFLC and PD-FLC as well as a reference model. The results revealed that the controllers could maintain the glucose level within a normal range. In addition, the performance of the PIFLC and the PID-FLC was very close to that of beta cells in normal individuals. So, they can be exploited prosperously as control systems to manage blood glucose concentrations in Type 1 diabetic patients. In addition, the PID-FLC saved the amount of the daily delivered insulin, while, its performance was approximately the same as that of the PI-FLC.

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Research paper thumbnail of Multi-Objective Optimization of Time-Delayed Fractional-Order Damping for Better Step Response

Volume 4B: Dynamics, Vibration, and Control, 2015

In this paper, a multi-objective optimization of a time-delayed fractional order damping system i... more In this paper, a multi-objective optimization of a time-delayed fractional order damping system is presented. In previous studies, a single objective optimization of this system was based on minimizing the integral of the squared error JISE, integral of the time-weighted squared error JITSE, integral absolute error JIAE, or integral time-weighted absolute error JITAE. However, from the practical point of view other design goals such as those related to system’s response and stability should be also included since an error-based optimized system can result in a system having the smallest error but at the expense of other crucial objectives. Moreover, the one-objective optimization returns only one design option hiding many important details about other possible design preferences. Here, the system under study is optimized by considering three objectives: peak time tp, the percentage overshoot Mp(%), and JISE. The results show that the multi-objective optimization technique provides m...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Multi-Objective Optimal Regulation of Glucose Concentration in Type I Diabetes Mellitus

Journal of Engineering and Science in Medical Diagnostics and Therapy

Type I, or insulin-dependent diabetes mellitus, is a chronic disease in which insulin is not adeq... more Type I, or insulin-dependent diabetes mellitus, is a chronic disease in which insulin is not adequately produced by the pancreatic β-cells, which leads to a high glucose concentration. In practice, external insulin delivery is the only method to deal with this disease. To this end, a multi-objective optimal control for insulin delivery is introduced in this paper. Three conflicting objectives, including minimizing the risk of hypoglycemia and hyperglycemia, and reducing the amount of injected insulin, are considered. These objectives are minimized simultaneously while tuning the closed-loop system parameters that include the design details of the linear-quadratic regulator (LQR) and estimator speed of convergence. The lower and upper bounds of the LQR setup parameters are determined by Bryson’s rule taking into account the nominal glucose range (70−160 mg/dL) and maximum and minimum pump infusion rates (0.0024−15 mU/min). The lower and upper bounds of the estimator convergence spee...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Simple cell mapping method for multi-objective optimal feedback control design

International Journal of Dynamics and Control, 2013

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Intelligent control of glucose concentration based on an implantable insulin delivery system for type I diabetes

In this paper, the performance of a closed-loop Proportional-Integral-Derivative (PID) fuzzy logi... more In this paper, the performance of a closed-loop Proportional-Integral-Derivative (PID) fuzzy logic controller (FLC) is evaluated as an automation scheme for an implantable insulin delivery system in type I diabetes therapy. The incredible progression in micro and nanotechnology has brought the concept of an “artificial pancreas” closer to reality. Manufacturing miniaturized, implantable insulin sensing and delivery devices are in fact feasible. The key to a successful implantable delivery system is the development of a self-regulated arrangement that mimics the performance of the real pancreas. The PID-FLC can be an effective control strategy for implantable insulin delivery system. It combines all the necessary components that react to the possible changes of glucose concentration in the blood stream. This paper is concerned with the parallel structure design of the PID-FLC which is achieved by combining the Proportional-Integral (PI-FLC) and Proportional-Derivative (PD-FLC) controllers. The PID-FLC is implemented on the nonlinear delay differential model of the glucose-insulin regulatory system, which describes how glucose and insulin interact in healthy individuals. Compared with other controlling approaches, the PID-FLC gives more than satisfactory results in maintaining near-normal glycemia and saving the amount of the daily delivered insulin.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Optimal PI-fuzzy logic controller of glucose concentration using genetic algorithm

International Journal of Knowledge-based and Intelligent Engineering Systems, 2011

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients

In this paper, an optimal PID-FLC (Proportional Integral Derivative Fuzzy Logic Controller) is pr... more In this paper, an optimal PID-FLC (Proportional Integral Derivative Fuzzy Logic Controller) is proposed. The design of this system aims to control blood glucose elevation in type 1 diabetic patients. An automated system integrated with a miniaturized insulin infusion pump and a continuous biosensor that measures the glucose level has been developed recently to replace beta cells in the pancreas. The main contribution of the paper is that it introduces an automated insulin delivery system based on a parallel PID-FLC structure tuned with genetic algorithms. This control system was compared to an optimal PIFLC and PD-FLC as well as a reference model. The results revealed that the controllers could maintain the glucose level within a normal range. In addition, the performance of the PIFLC and the PID-FLC was very close to that of beta cells in normal individuals. So, they can be exploited prosperously as control systems to manage blood glucose concentrations in Type 1 diabetic patients. In addition, the PID-FLC saved the amount of the daily delivered insulin, while, its performance was approximately the same as that of the PI-FLC.

Bookmarks Related papers MentionsView impact