Afroza Shirin
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View article: Test and Evaluation of AI/ML Enhanced Digital Twin
Test and Evaluation of AI/ML Enhanced Digital Twin Open
A Digital Twin (DT) is not just a collection of static digital models at the component level of a physical system, but a dynamic entity that evolves in parallel with the physical system it mirrors. This evolution starts with physics-based …
View article: Neural Network-Based Descent Control for Landers with Sloshing and Mass Variation: A Cascade and Adaptive PID Strategy
Neural Network-Based Descent Control for Landers with Sloshing and Mass Variation: A Cascade and Adaptive PID Strategy Open
Autonomous control of lunar landers is essential for successful space missions, where precision and efficiency are crucial. This study presents a novel control strategy that leverages proportional, integral, and derivative (PID) controller…
View article: Guiding Lunar Landers: Harnessing Neural Networks for Dynamic Flight Control with Adaptive Inertia and Mass Characteristics
Guiding Lunar Landers: Harnessing Neural Networks for Dynamic Flight Control with Adaptive Inertia and Mass Characteristics Open
The autonomous control of landing procedures can provide the efficiency and precision that are vital for the successful, safe completion of space operations missions. Controlling a lander with this precision is challenging because the prop…
View article: Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems
Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems Open
The Lyapunov theory establishes the fundamental details to determine the stability and the Lyapunov function associated with an equilibrium point of a nonlinear system. Sum-of-square (SOS) optimization is a well-known technique to estimate…
View article: Towards Stable Interstellar Flight: Levitation of a Laser-Propelled Sailcraft
Towards Stable Interstellar Flight: Levitation of a Laser-Propelled Sailcraft Open
Exploring and traveling to distant stars has long fascinated humanity but has been limited due to the vast distances. The Breakthrough Starshot Program aims at eliminating this limitation by traveling to Alpha Centauri, which is 4.37 light…
View article: Reservoir computing with random and optimized time-shifts
Reservoir computing with random and optimized time-shifts Open
We investigate the effects of application of random time-shifts to the readouts of a reservoir computer in terms of both accuracy (training error) and performance (testing error). For different choices of the reservoir parameters and diffe…
View article: Reservoir Computers with Random and Optimized Time-Shifts.
Reservoir Computers with Random and Optimized Time-Shifts. Open
We investigate the effects of application of random time-shifts to the readouts of a reservoir computer in terms of both accuracy (training error) and performance (testing error). For both the cases of linear and nonlinear reservoirs and d…
View article: Reservoir Computers with Random and Optimized Time-Shifts
Reservoir Computers with Random and Optimized Time-Shifts Open
We investigate the effects of application of random time-shifts to the readouts of a reservoir computer in terms of both accuracy (training error) and performance (testing error.) For different choices of the reservoir parameters and diffe…
View article: Data-driven optimized control of the COVID-19 epidemics
Data-driven optimized control of the COVID-19 epidemics Open
Optimizing the impact on the economy of control strategies aiming at containing the spread of COVID-19 is a critical challenge. We use daily new case counts of COVID-19 patients reported by local health administrations from different Metro…
View article: Reservoir Computers Modal Decomposition and Optimization
Reservoir Computers Modal Decomposition and Optimization Open
The topology of a network associated with a reservoir computer is often taken so that the connectivity and the weights are chosen randomly. Optimization is hardly considered as the parameter space is typically too large. Here we investigat…
View article: Data-driven Optimized Control of the COVID-19 Epidemics
Data-driven Optimized Control of the COVID-19 Epidemics Open
Optimizing the impact on the economy of control strategies aiming at containing the spread of COVID-19 is a critical challenge. We use daily new case counts of COVID-19 patients reported by local health administrations from different Metro…
View article: Stability analysis of reservoir computers dynamics via Lyapunov functions
Stability analysis of reservoir computers dynamics via Lyapunov functions Open
A Lyapunov design method is used to analyze the nonlinear stability of a generic reservoir computer for both the cases of continuous-time and discrete-time dynamics. Using this method, for a given nonlinear reservoir computer, a radial reg…
View article: Optimal regulation of blood glucose level in Type I diabetes using insulin and glucagon
Optimal regulation of blood glucose level in Type I diabetes using insulin and glucagon Open
The Glucose-Insulin-Glucagon nonlinear model accurately describes how the body responds to exogenously supplied insulin and glucagon in patients affected by Type I diabetes. Based on this model, we design infusion rates of either insulin (…
View article: Optimal Control Strategies for Complex Biological Systems
Optimal Control Strategies for Complex Biological Systems Open
To better understand and to improve therapies for complex diseases such as cancer or diabetes, it is not sufficient to identify and characterize the interactions between molecules and pathways in complex biological systems, such as cells, …
View article: Prediction of Optimal Drug Schedules for Controlling Autophagy
Prediction of Optimal Drug Schedules for Controlling Autophagy Open
The effects of molecularly targeted drug perturbations on cellular activities and fates are difficult to predict using intuition alone because of the complex behaviors of cellular regulatory networks. An approach to overcoming this problem…
View article: Optimal control of networks in the presence of attackers and defenders
Optimal control of networks in the presence of attackers and defenders Open
We consider the problem of a dynamical network whose dynamics is subject to external perturbations (“attacks”) locally applied at a subset of the network nodes. We assume that the network has an ability to defend itself against attacks wit…
View article: Locally Optimal Control of Complex Networks
Locally Optimal Control of Complex Networks Open
It has recently been shown that the minimum energy solution of the control problem for a linear system produces a control trajectory that is nonlocal. An issue then arises when the dynamics represents a linearization of the underlying nonl…
View article: Speculating the Travel Purposes of Passenger Groups in Railway Transportation System for Better understanding of Passengers
Speculating the Travel Purposes of Passenger Groups in Railway Transportation System for Better understanding of Passengers Open
There are different areas for speculations from the researcher's point of view.Speculations about persons who are traveling together is a very interesting area for research.This presumption can benefit to many bearing services so that they…
View article: Feasible strategies to target complex networks
Feasible strategies to target complex networks Open
A control strategy based on a general cost function is defined for dynamical complex networks that is optimal in terms of the magnitudes of the input, the state, and their time derivatives. Here we show that by controlling a network's outp…