Article
Mathematics
Faical Ndairou, Delfim F. M. Torres
Summary: Fractional optimal control problems with a general analytic kernel are introduced via a wide class of fractional operators. Necessary optimality conditions of Pontryagin type are obtained, along with a Mangasarian type sufficient global optimality condition. An illustrative example is discussed in the paper.
Article
Automation & Control Systems
Hiroshi Ito
Summary: This article introduces a new approach to control the spread of human infectious diseases by designing feedback control laws. The control inputs, including vaccination, isolation, and outing/gathering regulation, are derived using a positive definite function of all population variables in the SIQR model. The article demonstrates that a decoupled function can still serve as a control Lyapunov function as long as isolation is state-dependent. Techniques are presented to establish the robustness of the proposed controller in terms of input-to-state stability with respect to immigration and newborn perturbation on a large scale.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Engineering, Chemical
Ilias Mitrai, Prodromos Daoutidis
Summary: This paper proposes the application of nested stochastic blockmodeling for enterprise wide optimization problems, allowing for efficient solutions by identifying different hierarchical levels and the structure of the problem itself. The multiscale nature of these optimization problems is revealed through the application of nSBM, enabling the exploitation of the problem's structure for efficient solutions.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Energy & Fuels
Abdul Gaffar Sheik, Eagalapati Tejaswini, Murali Mohan Seepana, Seshagiri Rao Ambati, Montse Meneses, Ramon Vilanova
Summary: This study suggests that implementing control strategies such as PI, MPC, and fuzzy logic can help reduce operational costs and improve effluent quality in wastewater treatment plants. However, there is a trade-off between operational cost and effluent quality in the different control design frameworks.
Article
Computer Science, Interdisciplinary Applications
Arsalan Alavi, Mohammad Dolatabadi, Javad Mashhadi, Ehsan Noroozinejad Farsangi
Summary: This paper discusses a combined structural and control optimization approach to simultaneously minimize structural mass and controlled system energy for improving the seismic performance of civil structures. A variable neighborhood search metaheuristic method is developed to address the complexity of the problem, and case studies demonstrate the performance of the developed method. The simultaneously optimized cases using the proposed methodology showed superior dynamic performance compared to the sequentially optimized cases.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Biology
J. Feifel, D. Dobler
Summary: Nested case-control designs are attractive in studies with rare events or expensive covariates due to their restriction to small subsets of all patients at risk prior to observed events, allowing for more powerful and flexible non-standard sampling designs. By exploiting the martingale structure, simultaneous confidence bands based on wild bootstrap resampling procedures can be found within this general class of designs, as demonstrated in a simulation study with intended coverage probability obtained for cumulative baseline hazard functions. These methods have been applied to observational data on hospital-acquired infections.
Article
Mathematical & Computational Biology
Xuan Wang, Yingye Zheng, Majken Karoline Jensen, Zeling He, Tianxi Cai
Summary: This paper proposes an alternative strategy to estimate sampling probabilities based on a varying coefficient model, balancing robustness and the curse of dimensionality. Model mis-specification and the curse of dimensionality in practical settings pose challenges for existing strategies.
STATISTICS IN MEDICINE
(2021)
Article
Engineering, Aerospace
Sai Krishna Sumanth Nakka, Michael J. Alexander-Ramos
Summary: Designing hybrid-electric propulsion systems for aircraft involves efficient sizing of components and coordination of multiple power sources, requiring combined optimal design and control methods. This paper addresses these challenges by using MDSDO to solve system codesign problems, focusing on optimizing propulsion component designs and minimizing energy consumption in aircraft HEPS design.
JOURNAL OF AIRCRAFT
(2021)
Article
Energy & Fuels
Nicole A. Lantonio, Moncef Krarti
Summary: This paper examines the benefits of simultaneous optimization of design and control parameters for smart glazing windows in office buildings. By optimizing these parameters independently and simultaneously, operating costs can be minimized while maintaining desired thermal and visual comfort levels.
Article
Computer Science, Information Systems
Jin Qi, Jie Hu, Yinghong Peng
Summary: This study establishes an information-intensive design solution evaluator (IIDSE) to help designers make comprehensive decisions by combining multi-information from objective design values (DVs) and subjective preference values (PVs). The IIDSE utilizes a multi-information fusion (MIF)-based ideal solution definition strategy and a rough multi-criteria decision-making (R-MCDM) model to achieve more reasonable solutions compared to classical evaluators.
INFORMATION SCIENCES
(2021)
Review
Microbiology
Manisha Arora Pandit, Jitendra Kumar, Saloni Gulati, Neeru Bhandari, Poonam Mehta, Roma Katyal, Charu Dogra Rawat, Vachaspati Mishra, Jasleen Kaur
Summary: Food security has become a major concern globally due to increasing population, necessitating sustainable agricultural practices. Biological control and other methods effectively control plant pathogens, requiring the integration of different techniques to enhance biocontrol effectiveness.
Article
Management
Ankur Sinha, Arka Das, Guneshwar Anand, Sachin Jayaswal
Summary: In this article, an exact algorithm is proposed to solve mixed integer concave minimization problems. The algorithm utilizes an auxiliary linear program to approximate the concave function, resulting in a bilevel program that provides a lower bound. By applying KKT conditions, the bilevel program is transformed into a single level formulation, and complementary slackness conditions are linearized using BigM. The algorithm is demonstrated to outperform existing methods in solving common operations and supply chain problems.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Mathematics, Applied
Ye Xue
Summary: This paper investigates the existence and multiplicity of nontrivial solutions for equations driven by a nonlocal integrodifferential operator LK with homogeneous Dirichlet boundary conditions. By considering general potentials and combined nonlinearities, at least two weak solutions are obtained through abstract critical point results.
APPLIED MATHEMATICS LETTERS
(2022)
Article
Computer Science, Information Systems
Haidong Guo, Yuanbin Mo, Yuedong Zhang
Summary: This paper proposes an orthogonal design-based control vector parameterization (OCVP) and a Gaussian distribution-based seagull optimization algorithm (GSOA) for dynamic optimization problems. OCVP captures the fluctuation characteristics of the optimal control trajectory by analyzing the dynamic model using orthogonal experimental design. GSOA, based on the seagull optimization algorithm, introduces initialization and mutation operators based on Gaussian distribution to improve the optimization performance. The combination of OCVP and GSOA, named OCVP-GSOA, achieves similar or even higher solution accuracy compared to other methods.
Article
Robotics
Miguel Zamora, Roi Poranne, Stelian Coros
Summary: This paper proposes an efficient and numerically robust control problem solution, which formalizes the process of learning solution manifolds as minimization of energy terms, by combining Monte Carlo-inspired sampling strategies with derivatives used for solving individual control task instances.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
