Article
Engineering, Mechanical
Lissette Fernandez, Steven Wojtkiewicz
Summary: This study presents computational methodologies tailored to structural models with local features, which significantly improve computational efficiency. These methodologies are applied to high-rise building models equipped with energy harvesters, and the optimal design parameters for the harvesters are determined to maximize power generation.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Civil
Robin Vujanic, Andrew J. Hill
Summary: This paper investigates dynamic traffic optimization in railway systems and proposes new procedures for establishing finite prediction horizons and conditions for recursive feasibility. It also discusses decomposition of optimization models, warm starting, and anytime approaches for efficient computations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Peyman Mahouti, Mehmet A. Belen, Nurullah Calik, Slawomir Koziel
Summary: Reflectarrays are attractive solutions for satellite communications or mobile radar antennas due to their ability to realize pencil-beam radiation patterns without the necessity of feeding networks. However, current microstrip implementations are limited by their narrow-band nature and susceptibility to conductor and surface wave losses. The design process of reflectarrays is challenging due to the numerous variables and requirements involved. This study proposes an alternative approach using deep learning to construct unit element representations, reducing the optimization cost.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Darukeesan Pakiyarajah, Chamira U. S. Edussooriya
Summary: We propose a minimax design method for finite impulse response (FIR) graph filters in this brief. We use a shifted monomial basis to convert the design problem into a numerically stable equivalent problem, and solve it as a semidefinite programming problem. Furthermore, we propose a computationally-efficient structure to implement the designed FIR graph filters.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Automation & Control Systems
Md Habib Ullah, Bhanu Babaiahgari, Anas Alseyat, Jae-Do Park
Summary: This article presents a fully distributed optimization approach for real-time energy management of dc microgrids, formulated with a consensus algorithm based on incremental cost. The proposed algorithm is characterized by fast convergence, privacy preservation, scalability, and robustness against time-varying communication topologies. The effectiveness of the system was validated through computer simulations and hardware experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Engineering, Manufacturing
Nishant K. Shakya, Srikant S. Padhee
Summary: Bent-twist coupling can be achieved by both asymmetric and symmetric laminate composites. The hygrothermal deformations in these composites can lead to dimensional instability and need to be eliminated. Two proposed generalized stacking sequences provide the required bend-twist coupling and have been optimized using analytical and numerical techniques. The optimized results show excellent agreement with conventional constrained numerical optimization results, and the proposed stacking sequence is more computationally efficient.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2023)
Article
Computer Science, Artificial Intelligence
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
Summary: The article discusses the issue of constraints in solving real optimization problems, and proposes a method for partially evaluating solutions. The main focus of the study is on how to save computational costs while maintaining the accuracy of the search.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Computer Science, Artificial Intelligence
Shuai Wang, Jing Liu, Yaochu Jin
Summary: The robustness of complex networks is crucial for their stability, and multiobjective robustness optimization is gaining increasing attention. However, challenges remain, including different computational complexities, insufficient network diversity, and high computational costs. By introducing a computationally efficient multiobjective optimization algorithm, a unique feature-based fitness evaluation method, and a surrogate ensemble based on graph embedding information, these challenges have been successfully addressed.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
Article
Engineering, Civil
Yiming Zhang, Hongyi Zhang, Lemiao Qiu, Zili Wang, Shuyou Zhang, Na Qiu, Jianguang Fang
Summary: Fail-safe robustness is important for critical structural systems. Existing fail-safe topology optimization methods optimize the worst-damage scenario, but this work proposes a computationally viable fail-safe topology optimization method that considers all possible damages according to severity. The proposed framework has been evaluated for the design of cantilever beams and airplane bearing brackets, showing improved robustness compared to deterministic designs.
ENGINEERING STRUCTURES
(2023)
Article
Transportation Science & Technology
Dimitris Kouzoupis, Ishan Pendharkar, Jonathan Frey, Moritz Diehl, Francesco Corman
Summary: This paper demonstrates the use of direct multiple shooting in the field of energy efficient train control and highlights its advantages in problem formulation flexibility and the availability of computationally efficient open-source software. By utilizing the proposed framework, particularly challenging train trajectory optimization problems can be solved within a few seconds.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Automation & Control Systems
Suraj Jaiswal, Lauri Pyrhoenen, Aki Mikkola
Summary: Hydraulic machinery is widely used in industries such as mining, forestry, and construction. Computer simulation is crucial for hydraulic machinery as it affects operational activities and design features. This article presents a method that couples multibody dynamics and hydraulic actuators using a semianalytical approach. A simulation model of a log crane is used to demonstrate the effectiveness of the proposed method.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Energy & Fuels
Soheil Mohtaram, Weidong Wu
Summary: This study proposes a new method to optimize cogeneration combined heat and power cycles, which effectively improves energy and exergy efficiency and achieves significant long-term energy savings.
Article
Engineering, Electrical & Electronic
Haotian Xie, Fengxiang Wang, Qing Chen, Yingjie He, Jose Rodriguez, Ralph Kennel
Summary: This article proposes a computationally efficient predictive current control (PCC) combined with an extension of a finite set using current derivative projection to solve the challenges experienced by finite control set PCC (FCS-PCC), that is, unsatisfied steady-state performance and high computational burden. The objective function in PCC is rearranged as the quadratic Euclidean norm of the derivative deviation to minimize the deviation between the selected and desired current derivative. The LS method is used to optimize the optimal stator current derivatives in the consecutive sampling intervals combined with their duty cycles.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Automation & Control Systems
Farshud Sorourifar, Naitik Choksi, Joel A. Paulson
Summary: This paper presents a multi-fidelity black-box optimization approach for integrated design and control of constrained nonlinear systems under uncertainty. The approach uses high-quality decision rules and Bayesian optimization framework to solve realistic IDC problems. It addresses the challenges of short timescale dynamics, high variance in uncertainties, and a mixture of discrete and continuous variables in operational decisions. The advantages of the multi-fidelity approach are demonstrated through the design of a solar-powered building heating/cooling system under uncertain weather and demand conditions.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Automation & Control Systems
Nafees Ahamad, Abhay Chhetri, Mayank Saklani, Mohit Bajaj, Hossam Kotb, Baseem Khan, Afzal Sikander
Summary: The paper proposes a graphical technique for designing PID and its variants controllers, which addresses the challenge of selecting appropriate control parameters. The technique involves creating a Cartesian grid of equispaced vectors for controller parameters and calculating integral time squared error (ITSE) for each controller. The obtained ITSE is then plotted in a 4D (PID) or 3D (PI/PD) graph to identify the controller parameters with the minimum value of ITSE. The technique also aids in selecting the lower and upper bounds if the controller is designed using optimization techniques.
IET CONTROL THEORY AND APPLICATIONS
(2023)