Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods Gabriel-Vasilică Sasu, Bogdan-Iulian Ciubotaru, Nicolae Goga, Andrei Vasilățeanu Sensors, 2025 In geriatric healthcare, missing data pose significant challenges, especially in systems used for frailty monitoring in elderly individuals. This study explores advanced imputation techniques used to enhance data quality and maintain model performance in a system designed to detect frailty insights. We introduce missing data mechanisms—Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR)—into a dataset collected from smart bracelets, simulating real-world conditions. Imputation methods, including Expectation–Maximization (EM), matrix completion, Bayesian networks, K-Nearest Neighbors (KNN), Support Vector Machines (SVMs), Generative Adversarial Imputation Networks (GAINs), Variational Autoencoder (VAE), and GRU-D, were evaluated based on normalized Mean Squared Error (MSE), Mean Absolute Error (MAE), and R2 metrics. The results demonstrate that KNN and SVM consistently outperform other methods across all three mechanisms due to their ability to adapt to diverse patterns of missingness. Specifically, KNN and SVM excel in MAR conditions by leveraging observed data relationships to accurately infer missing values, while their robustness to randomness enables superior performance under MCAR scenarios. In MNAR contexts, KNN and SVM effectively handle unobserved dependencies by identifying underlying patterns in the data, outperforming methods like GRU-D and VAE. These findings highlight the importance of selecting imputation methods based on the characteristics of missing data mechanisms, emphasizing the versatility and reliability of KNN and SVM in healthcare applications. This study advocates for hybrid approaches in healthcare applications like the cINnAMON project, which supports elderly individuals at risk of frailty through non-intrusive home monitoring systems.
Frailty Insights Detection System (FIDS)—A Comprehensive and Intuitive Dashboard Using Artificial Intelligence and Web Technologies Bogdan-Iulian Ciubotaru, Gabriel-Vasilică Sasu, Nicolae Goga, Andrei Vasilățeanu, Iuliana Marin, et al. Applied Sciences Switzerland, 2024 Frailty, known as a syndrome affecting the elderly, have a direct impact on both social well-being and body’s ability to function properly. Specific to geriatric healthcare, the early detection of frailty helps the specialists to mitigate risks of severe health outcomes. This article presents the development process of a system used to determine frailty-specific parameters, focusing on easy-to-use, non-intrusive nature and reliance on objectively measured parameters. The multitude of methodologies and metrics involved in frailty assessment emphasize the multidimensional aspects of this process and the lack of a common and widely accepted methodology as being the gold standard. After the research phase, the frailty-specific parameters considered are physical activity, energy expenditure, unintentional weight loss, and exhaustion, along with additional parameters like daily sedentary time, steps history, heart rate, and body mass index. The system architecture, artificial intelligence models, feature selection, and final prototype results are presented. The last section addresses the challenges, limitations, and future work related to the Frailty Insights Detection System (FIDS).
Computing the explicit MPC solution in the constrained zonotope case Florin Stoican, Ştefan S. Mihai, Martin Mönnigmann, Bogdan D. Ciubotaru Proceedings of the IEEE Conference on Decision and Control, 2024 Solving the explicit model predictive control (MPC) problem entails enumerating a list of critical regions and their ancillary feedback laws. Unfortunately, their number and the time required to compute them increase exponentially with the problem size (state-space model dimension and length of the prediction horizon). We show that when, as it is often the case, the problem’s constraints take the form of boxes or zonotopes, the resulting feasible domain can be compactly described as a constrained zonotope. Subsequently, we investigate whether, and under which circumstances, the combinatorial structure of the constrained zonotope interpretation accelerates the computation of the explicit solution.
Distributed Control of Descriptor Networks: A Convex Procedure for Augmented Sparsity Andrei Sperilă, Cristian Oară, Bogdan D. Ciubotaru, Şerban Sabău IEEE Transactions on Automatic Control, 2023 For networks of systems, with possibly improper transfer function matrices, we present a design framework that enables <inline-formula><tex-math notation="LaTeX">$\\mathcal {H}_\\infty$</tex-math></inline-formula> control, while imposing sparsity constraints on the coprime factors of the controller. We propose a convex and iterative optimization procedure with guaranteed convergence to obtain distributed controllers. By exploiting the robustness-oriented nature of our proposed approach, we provide the means to obtain sparse representations of our control laws that may not be directly supported by the nominal model of the network.
Explicit MPC for the constrained zonotope case with low-rank matrix updates SS Mihai, F Stoican, M Monnigmann, BD Ciubotaru arXiv preprint arXiv:2511.02433 , 2025 2025
Zonotope-Based Elastic Tube Model Predictive Control S Diaconescu, F Stoican, BD Ciubotaru, S Olaru arXiv preprint arXiv:2509.19824 , 2025 2025
Derivative-free Kalman filtering for a six-wheeled rover BM Bălăceanu, F Stoican, BD Ciubotaru, I Prodan European Journal of Control, 101334 , 2025 2025
Computing the explicit MPC solution in the constrained zonotope case F Stoican, ŞS Mihai, M Mönnigmann, BD Ciubotaru 2024 IEEE 63rd Conference on Decision and Control (CDC), 1055-1060 , 2024 2024 Citations: 1
Elastic tube model predictive control with scaled zonotopic sets S Diaconescu, F Stoican, BD Ciubotaru, S Olaru IEEE Control Systems Letters 8, 1343-1348 , 2024 2024 Citations: 5
Tube Model Predictive Control for Flexible Satellite Dynamics S Diaconescu, F Stoican, BD Ciubotaru Difference Equations, Discrete Dynamical Systems and Applications: IDCEA … , 2024 2024 Citations: 1
Explicit MPC Solution Using Hasse Diagrams: Construction, Storage ŞS Mihai, F Stoican, BD Ciubotaru Difference Equations, Discrete Dynamical Systems and Applications: IDCEA … , 2024 2024
Distributed control of descriptor networks: A convex procedure for augmented sparsity A Sperilă, C Oară, BD Ciubotaru, Ş Sabău IEEE Transactions on Automatic Control 68 (12), 8067-8074 , 2023 2023 Citations: 10
Computing the explicit MPC solution using the Hasse diagram of the lifted feasible domain ŞS Mihai, F Stoican, BD Ciubotaru 2023 European Control Conference (ECC), 1-7 , 2023 2023 Citations: 3
Explicit MPC Solution Using Hasse Diagrams: Construction, Storage and Retrieval ŞS Mihai, F Stoican, BD Ciubotaru International Conference on Difference Equations and Applications, 353-369 , 2022 2022 Citations: 1
Satellite micro-launcher control: An integrated adaptive-robust and nonlinear approach BD Ciubotaru, A Sperilă, S Diaconescu, F Stoican, AM Stoica, S Bennani Control Engineering Practice 122, 105072 , 2022 2022
On the link between explicit MPC and the face lattice of the lifted feasible domain ŞS Mihai, F Stoican, BD Ciubotaru IFAC-PapersOnLine 55 (16), 308-313 , 2022 2022 Citations: 7
Observations on the complexity of the explicit MPC F Stoican, ŞS Mihai, BD Ciubotaru 2021 60th IEEE Conference on Decision and Control (CDC), 2551-2556 , 2021 2021 Citations: 1
The optimal H2 controller for generalized discrete-time systems A Sperilă, BD Ciubotaru, C Oară Automatica 133, 109889 , 2021 2021 Citations: 2
H 2 Output Feedback Control of Differential-Algebraic Systems A Sperilă, C Oară, BD Ciubotaru IEEE Control Systems Letters 6, 542-547 , 2021 2021
ℋ 2 Control for Differential-Algebraic Systems A Sperilă, BD Ciubotaru, C Oară 2020 European Control Conference (ECC), 627-632 , 2020 2020 Citations: 1
H∞ Control for Differential-Algebraic Systems A Sperila, FS Tudor, BD Ciubotaru, C Oara Proc. of the 21st IFAC World Congress, 4285-4290 , 2020 2020 Citations: 2
Fault-tolerant Optimal Control Scheme for Satellite Micro-launchers A Reitu, A Sperilă, BD Ciubotaru IFAC-PapersOnLine 53 (2), 4115-4120 , 2020 2020
Analysis of Classical and Adaptive Control Algorithms for a Space Vehicle MG Măcău, BD Ciubotaru, D Ştefănoiu 2019 23rd International Conference on System Theory, Control and Computing … , 2019 2019
Fault diagnosis of a direct drive wind turbine using a bank of Goertzel filters LI Gliga, BD Ciubotaru, H Chafouk, D Popescu, C Lupu 2019 6th International Conference on Control, Decision and Information … , 2019 2019 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
Fault detection and diagnosis using parameter estimation with recursive least squares EM Cimpoesu, BD Ciubotaru, D Stefanoiu 2013 19th International Conference on Control Systems and Computer Science … , 2013 2013 Citations: 39
Switching solution for multiple-models control systems C Lupu, D Popescu, B Ciubotaru, C Petrescu, G Florea 2006 14th Mediterranean Conference on Control and Automation, 1-6 , 2006 2006 Citations: 37
Fault tolerant control of the Boeing 747 short-period mode using the admissible model matching technique B Ciubotaru, M Staroswiecki, C Christophe IFAC Proceedings Volumes 39 (13), 819-824 , 2006 2006 Citations: 20
Industrial Automation D Popescu, D Stefanoiu, C Lupu, C Petrescu, B Ciubotaru, C Dimon Editura AGIR, Bucuresti , 2006 2006 Citations: 20
Industrial Process Control D Popescu, D Stefanoiu, C Lupu, C Petrescu, B Ciubotaru, C Dimon AGIR Press, Bucharest , 2006 2006 Citations: 18
Automatica industriala D Popescu, D Stefanoiu, C Lupu, C Petrescu, B Ciubotaru, C Dimon Bucuresti: Agir, 384 , 2006 2006 Citations: 17
Distributed control of descriptor networks: A convex procedure for augmented sparsity A Sperilă, C Oară, BD Ciubotaru, Ş Sabău IEEE Transactions on Automatic Control 68 (12), 8067-8074 , 2023 2023 Citations: 10
Comparative study of matrix Riccati equation solvers for parametric faults accommodation BD Ciubotaru, M Staroswiecki 2009 European Control Conference (ECC), 1371-1376 , 2009 2009 Citations: 10
Industrial Automatics D Popescu, D Stefanoiu, C Lupu, C Petrescu, B Ciubotaru, C Dimon Ed. AGIR, Bucharest , 2006 2006 Citations: 10
A Kalman filtering approach for systems subject to parametric modeling uncertainties AM Stoica, TV Chelaru, F Stoican, BD Ciubotaru IFAC-PapersOnLine 52 (12), 400-404 , 2019 2019 Citations: 8
On the link between explicit MPC and the face lattice of the lifted feasible domain ŞS Mihai, F Stoican, BD Ciubotaru IFAC-PapersOnLine 55 (16), 308-313 , 2022 2022 Citations: 7
Fault detection and identification using parameter estimation techniques EM Cimpoesu, BD Ciubotaru, D Stefanoiu UPB Scientific Bulletin, Series C 76 (2), 3-14 , 2014 2014 Citations: 7
Fault diagnosis of a direct drive wind turbine using a bank of Goertzel filters LI Gliga, BD Ciubotaru, H Chafouk, D Popescu, C Lupu 2019 6th International Conference on Control, Decision and Information … , 2019 2019 Citations: 6
Short investigation on system diagnosis regarding parameter estimation EM Cimpoeşu, BD Ciubotaru, D Ştefănoiu 2012 1st International Conference on Systems and Computer Science (ICSCS), 1-6 , 2012 2012 Citations: 6
Modified pseudo-inverse method with generalized linear quadratic regulator for fault tolerant model matching with prescribed stability degree BD Ciubotaru, M Staroswiecki, ND Christov 2011 50th IEEE conference on decision and control and European control … , 2011 2011 Citations: 6
Fault tolerant control of the B747 short-period mode using progressive accommodation B Ciubotaru, M Staroswiecki 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE … , 2006 2006 Citations: 6
Automatica Industrial; Agir: Bucharest D Popescu, D Stefanoiu, C Lupu, B Ciubotaru, C Petrescu, C Dimon Romania , 2006 2006 Citations: 6
Elastic tube model predictive control with scaled zonotopic sets S Diaconescu, F Stoican, BD Ciubotaru, S Olaru IEEE Control Systems Letters 8, 1343-1348 , 2024 2024 Citations: 5
Anytime algorithm for parametric faults accommodation under handling quality constraints BD Ciubotaru, M Staroswiecki IFAC Proceedings Volumes 42 (8), 887-892 , 2009 2009 Citations: 5
Model following with output feedback for fault tolerant control EM Cimpoeşu, BD Ciubotaru, D Popescu 15th International Conference on System Theory, Control and Computing, 1-6 , 2011 2011 Citations: 4