Article
Automation & Control Systems
Yongxin Wu, Boussad Hamroun, Yann Le Gorrec, Bernhard Maschke
Summary: This article proposes a method that combines linear quadratic Gaussian (LQG) control design and structure preserving model reduction for the reduced order control of infinite dimensional port Hamiltonian systems (IDPHS). The method is driven by closed-loop performances and uses Petrov-Galerkin method to approximate the balanced realization of the IDPHS and provide the associated reduced order LQG controller. The main advantage is that the closed-loop stability is guaranteed when applying the finite dimensional controller to the infinite dimensional system due to the passivity properties of the controller.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Engineering, Mechanical
Carlos E. N. Mazzilli, Paulo B. Goncalves, Guilherme R. Franzini
Summary: This paper provides a detailed literature review on non-linear modes of vibration and their role in obtaining more efficient reduced-order models compared to those obtained by Galerkin's method using classical linear modes. It presents a chronological development of definitions, properties, evaluation methods, and applications of non-linear modes to engineering problems, from Poincare to Liapunov, from Rosenberg and Vakakis to Shaw and Pierre, covering the past to present progress in this field.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Engineering, Mechanical
Changshuai Yu, Yun-Peng Zhu, Haitao Luo, Zhong Luo, Lei Li
Summary: The objective of this study is to develop a novel data-driven approach to predict the output responses, as well as their uncertainties, of a complex system for design assessment. This is achieved by identifying and validating the Nonlinear AutoRegressive with eXogenous input (NARX) model of the system using the FROLS algorithm and K-fold cross validation. The uncertainties of the model coefficients are quantified using the Monte Carlo Simulation (MCS) method and propagated to the predicted output responses for design assessments. The proposed approach is verified through a case study on the design assessment of a Chinese Space Station Scientific Experiment Rack (CSS-SER), showing its efficiency and potential in solving engineering design problems.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Energy & Fuels
Shengming Li, Lin Feng
Summary: This paper proposes a new object detection algorithm and controller for UAV systems, which can effectively save energy and improve energy efficiency of the system.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Automation & Control Systems
Yuanhong Ren, Wuneng Zhou, Zhiwei Li, Ling Liu, Yuqing Sun
Summary: Prescribed-time lag consensus, a special case of prescribed-time cluster lag consensus, is investigated in this study. A new distributed controller design is proposed, and the effectiveness of the designed schemes is theoretically verified using state transformation, Graph theory, and generalized Lyapunov stability theory. Sufficient conditions for consensus are given for each conclusion.
Article
Mathematics, Interdisciplinary Applications
Bingxin Li, Yaowei Liu, Xin Zhao
Summary: This paper studies H infinity and robust H infinity control for fractional order systems (FOS) with order 0<<1. Necessary and sufficient conditions for H infinity control and state feedback controller design are proposed. Robust H infinity control for FOS with uncertainty is also studied, and a state feedback controller is designed. These conditions are based on linear matrix inequalities (LMI) and can be easily solved using the LMI toolbox. The effectiveness of these conditions is verified through two numerical examples.
FRACTAL AND FRACTIONAL
(2022)
Article
Thermodynamics
Jian Zhao, Xianguo Li, Chris Shum, John McPhee
Summary: Many 1D computational fuel cell dynamics models have been established to predict the performance of PEM fuel cells. These models are more accurate and less dependent on experimental data compared to empirical and analytical models, but their relation to computing efficiency is not fully understood.
Article
Automation & Control Systems
Nguyen Thi Phuong, Nguyen Huu Sau, Mai Viet Thuan
Summary: This paper proposes an efficient analytical approach to solve the dissipative control problem in one-sided Lipschitz singular Caputo fractional-order systems subject to nonlinear perturbations. The approach is based on mathematical transformations and fractional calculus. A state feedback controller is designed to ensure the regularity, impulse-free property, and finite-time boundedness with a dissipativity performance index of the closed-loop system. The results are established using tractable strict linear matrix inequalities (LMIs) without any equality constraint. Two numerical examples are provided to demonstrate the effectiveness of the proposed approach.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Engineering, Mechanical
Mohammad Reza Salehi Kolahi, Mohammad Reza Gharib, Ali Heydari
Summary: This paper introduces a new disturbance observer based non-singular fast terminal sliding mode control technique for addressing nonlinear second-order systems with compound disturbance, without the need for estimating uncertainty bounds. Simulation results validate the effectiveness of the proposed method in two case studies.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2021)
Article
Acoustics
Hermes Sampedro Llopis, Cheol-Ho Jeong, Allan P. Engsig-Karup
Summary: Quick simulations using the reduced basis method (RBM) are essential for finding optimal acoustic conditions in building design. RBM enables quick evaluations of changing absorption materials for different surfaces in room acoustic simulations with inhomogeneous properties. This study investigates the application of RBM in various geometries and inhomogeneous surface absorption with significant speedup compared to high fidelity numerical solver.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2023)
Article
Thermodynamics
Massimo Fiorentini, Luca Baldini
Summary: This paper presents a novel linearized control-oriented model of a BTES to describe the storage temperature dynamics under varying operating conditions and optimize its operation. The study found that optimal operating conditions are significantly affected by seasonal variations, and BTES shows higher emissions reduction benefits when subject to balanced loads.
APPLIED THERMAL ENGINEERING
(2021)
Article
Automation & Control Systems
Jafar Zarei, Ebrahim Masoudi, Roozbeh Razavi-Far, Mehrdad Saif
Summary: This work focuses on passive fault-tolerant control (FTC) for discrete-time networked control systems (NCSs). Network imperfections, such as random time delay and packet dropout, are modeled using a Markov chain, resulting in a Markovian jump linear system (MJLS). Some elements of the transition probability matrix (TPM) are assumed to be unknown to address complex network issues. A comprehensive fault model that considers the stochastic nature of networks is employed, and a closed-loop NCS model is obtained using state augmentation technique. A constrained model predictive control (MPC) is proposed to develop a fault-tolerant control strategy that considers all these issues and input constraint. Linear matrix inequalities (LMIs) are used to derive sufficient conditions for designing the reliable controller. Two examples are presented to demonstrate the effectiveness of the proposed FTC, showing superior performance compared to existing studies.
Article
Engineering, Mechanical
N. Faedo, G. Giorgi, J. Ringwood, G. Mattiazzo
Summary: Motivated by the relevance of nonlinear Froude-Krylov (FK) hydrodynamic effects in wave energy converters, this paper presents an integrated framework for accurately describing and optimizing the control of WECs under controlled conditions. The framework consists of a data-based modeling procedure to compute a suitable mathematical representation for nonlinear FK effects and a moment-based optimal control solution to transcribe the energy-maximizing optimal control problem. A comprehensive case study is used to illustrate the application of the proposed framework, including energy absorption performance.
NONLINEAR DYNAMICS
(2022)
Article
Automation & Control Systems
Lei Chen, Xinghuo Yu, Changyin Sun
Summary: This article provides a detailed mathematical proof of the characteristic modeling approach for high-order linear dynamical systems, explaining how high-order dynamics can be compressed into lower-order characteristic models. It also investigates the relationships between high-order linear continuous dynamical systems, discrete-time characteristic model coefficients, and sampling-time intervals.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Business
Zhinan Zhang, Xun Zhuge, Xiang Li, Richard Evans, Ang Liu
Summary: The design of modern mechatronic systems is complex and requires collaboration between various disciplines. This article proposes a structured approach to guide the design process, which improves collaboration and accuracy, and has been demonstrated to be effective in the case study.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Robotics
Luca Bascetta, Gianni Ferretti, Bruno Scaglioni
Article
Thermodynamics
Federico Martin Bergero, Francesco Casella, Ernesto Kofman, Joaquin Fernandez
BUILDING SIMULATION
(2018)
Article
Computer Science, Interdisciplinary Applications
Luca Bascetta, Gianni Ferretti
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2019)
Article
Engineering, Multidisciplinary
Andrea Manno, Edoardo Amaldi, Francesco Casella, Emanuele Martelli
OPTIMIZATION AND ENGINEERING
(2020)
Article
Mathematics, Applied
L. Bonaventura, F. Casella, L. Delpopolo Carciopolo, A. Ranade
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2020)
Article
Thermodynamics
Marco Astolfi, Edoardo De Lena, Francesco Casella, Matteo Carmelo Romano
Summary: The study focuses on the potential application of calcium looping CO2 capture system in coal-fired power plants, comparing two different CaL systems and analyzing the role and economic benefits of sorbent storage systems. It is found that the secondary storage system can provide more flexible grid services and reduce the capital cost of CaL systems.
APPLIED THERMAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Luca Bascetta, Gianni Ferretti
Summary: This paper presents a novel approach for estimating and identifying lateral vehicle dynamics. The technique leverages on a LFT reformulation of vehicle and tyre models, allowing for inclusion of complex and non-linear models, and can adapt to different driving conditions and vehicle modelling approaches.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Arianna Catenacci, Anna Santus, Francesca Malpei, Gianni Ferretti
Summary: The Biochemical Methane Potential (BMP) test is an essential tool for studying digester performance, but its application is limited due to long duration and high cost. This study proposes a new method to predict BMP parameters early on based on a partial analysis of experimental data, which can significantly shorten the testing duration. Results show that this method provides good early estimates within a short time.
Article
Computer Science, Software Engineering
Massimo Fioravanti, Daniele Cattaneo, Federico Terraneo, Silvano Seva, Stefano Cherubin, Giovanni Agosta, Francesco Casella, Alberto Leva
Summary: Equation-based modelling is a powerful approach to tackle the complexity of large-scale simulation problems. However, current model translation techniques face scalability issues when dealing with models containing large arrays. In this paper, we focus on the equation/variable matching step and propose a figure of merit and a heuristic algorithm to optimize array-aware matching, enabling the development of efficient tools for large-scale system simulation.
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE
(2023)
Article
Engineering, Biomedical
Giuseppe Baselli, Gianfranco Fiore, Francesco Casella, Simone Cinquemani, Roberto Vigano, Antonio Pesenti, Alberto Zanella
Summary: The researchers developed a backup ventilator called Multiple Emergency Ventilator (MEV) to address the shortage of ICU ventilators and for use in camp hospitals. MEV provides the same oxygen mixture and peak inspiratory pressure (PIP) to 10 patients and offers features like individual monitoring and control.
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY
(2022)
Article
Automation & Control Systems
Francesco Casella
Summary: The study found that suppression strategies can effectively control COVID-19 epidemics if implemented early and with sufficient strength. However, mitigation strategies may fail due to a combination of delay, unstable dynamics, and uncertainty in the feedback loop. Feasibility conditions for feedback control are provided based on the theory of limitation of linear control.
IEEE CONTROL SYSTEMS LETTERS
(2021)
Article
Automation & Control Systems
Basak Sakcak, Luca Bascetta, Gianni Ferretti, Maria Prandini
IEEE CONTROL SYSTEMS LETTERS
(2020)
Proceedings Paper
Energy & Fuels
Dario Alfani, Marco Astolfi, Marco Binotti, Stefano Campanari, Francesco Casella, Paolo Silva
PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2019, VOL 3
(2019)
Proceedings Paper
Automation & Control Systems
Francesco Casella, Andrea Giorgio Bartolini, Alberto Leva
Article
Engineering, Multidisciplinary
Bruno Scaglioni, Luca Bascetta, Marco Baur, Gianni Ferretti
APPLIED MATHEMATICAL MODELLING
(2017)