Article
Engineering, Biomedical
John E. Fleming, Sageanne Senneff, Madeleine M. Lowery
Summary: This study presents a multivariable control architecture for selective suppression of motor symptoms in Parkinson's disease (PD) patients. By simultaneously modulating the amplitude and duration of deep brain stimulation (DBS), effective control of both rest tremor and beta activity can be achieved with reduced power delivery. The control architecture also enables automatic regulation of stimulation dosage to prevent overstimulation and save power.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Engineering, Industrial
Hamed Jalali, Amir Ansaripoor, Vinay Ramani, Pietro De Giovanni
Summary: This study introduces a game-theoretic model of a closed-loop supply chain involving an Original Equipment Manufacturer (OEM) and a social collector. The research shows that while the social collector is indifferent between coopetition and competition, the OEM strictly prefers coopetition.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Mathematics
Yuri V. Mitrishkin, Pavel S. Korenev, Artem E. Konkov, Valerii I. Kruzhkov, Nicolai E. Ovsiannikov
Summary: This paper deals with the identification methods of plasma equilibrium reconstruction in D-shaped tokamaks based on plasma external magnetic measurements. The novel approach combines an offline equilibrium reconstruction algorithm and new identification methods to improve the speed of response. The algorithm first applies Picard iterations to the plasma discharge data to obtain gaps between the plasma boundary and the first wall, and then applies new identification methods to these gap values, producing real-time plasma shape models. The results of simulation using experimental data from the Globus-M2 tokamak demonstrate the effectiveness of the proposed identification systems.
Article
Thermodynamics
Mingqiang Li, Ugochukwu Ngwaka, Ramin Moeini Korbekandi, Nick Baker, Dawei Wu, Athanasios Tsolakis
Summary: This paper introduces the performance map, energy flow, exergy destruction, and exergy efficiency of a closed-loop Linear Engine Generator (LEG) using air, argon, and helium as working fluids. The properties of the working fluids affect the LEG designs, impacting system efficiency and power output. Comparison between open-loop and closed-loop models using air showed impressive efficiencies of 43.92%, 43.74%, and 51.30% for air, argon, and helium respectively. The LEG using air demonstrated the highest power output of 2448 W, while the helium version generated 2044 W and the argon version 1850 W. The condenser in the closed-loop systems had the highest exergy destruction rate due to the coolant's low temperature.
Article
Chemistry, Analytical
Huayang Xia, Jinying Li, Yunxia Xia, Liangzhu Yuan, Wenxue Zhang, Haotong Ma, Piao Wen
Summary: This paper proposes a method to address the complex coupling and nonlinearity in the Risley prism system during IBCLT, and the experimental results demonstrate the feasibility and effectiveness of this method.
Article
Automation & Control Systems
Sveinung Johan Ohrem, Christian Holden
Summary: This article presents an output feedback controller and observer design approach for linear time-invariant systems with unknown dynamics, using an open-loop reference model to generate desired trajectory and a closed-loop reference model as an observer. Stability proofs based on Lyapunov show that error states converge asymptotically to zero and all other signals are uniformly stable, with bounds proven on the transient behavior.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Ming Yang, Jiang Wang, Shanshan Li, Kuanchuan Wang, Wei Yue, Chen Liu
Summary: In this study, an adaptive closed-loop electrophysiology simulation experimental paradigm based on a Radial Basis Function neural network and a highly nonlinear unscented Kalman filter is proposed. The method can fit unknown neuron models with different channel parameters and structures and compute the injected stimulus according to the desired spiking activities of the neurons. An additional Unscented Kalman filter module is incorporated to visualize the hidden dynamics of the neurons. The proposed paradigm achieves desired spiking activities and enhances the scalability of electrophysiological experiments.
Article
Chemistry, Analytical
Qiang Li, Lifeng Ding, Xiaowei Liu, Qiang Zhang
Summary: In this study, a linearized amplitude control model of the silicon gyroscope drive loop was established to analyze the dynamic characteristics, stability, and setup time of the system. A new silicon gyroscope interface circuit was designed and tested, proving the correctness of the theoretical model and the effectiveness of stability optimization in the closed-loop controlled drive loop of the silicon gyroscope circuit.
Article
Engineering, Electrical & Electronic
Guochen Wang, Xingliang Wu, Wei Ding, Wei Gao, Zhuo Wang
Summary: Resonant fiber optic gyro (RFOG) is an inertial sensor with significant application potential. It utilizes different closed-loop signal detection methods, such as single closed-loop and double closed-loop, to ensure high system stability and precise signal output. In this study, a single-double interval closed-loop scheme for RFOG is proposed, which combines the advantages of low control signal noise from the single closed-loop system and the large dynamic range of the double closed-loop system. Additionally, a linear fitting method is employed to improve the linearity of the demodulation curve, resulting in enhanced short-term and long-term stability of the system.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2023)
Article
Operations Research & Management Science
Pietro De Giovanni, Georges Zaccour
Summary: This paper surveys two crucial issues in Closed-loop Supply Chain (CLSC) research: return functions and coordination mechanisms. Return functions determine the rules for returning end-of-life/use products to a collector, while coordination mechanisms align the objectives of closed-loop supply chain members through the adoption of specific mechanisms, such as contracts. The paper describes the latest developments in these two major CLSC-related fields and suggests future research directions.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Physics, Multidisciplinary
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
Summary: This work introduces a new computational framework for learning a structured generative model for real-world datasets, specifically focusing on a Closed-loop Transcription (CTRL) between multi-class, multi-dimensional data distribution and linear discriminative representation. The optimal encoding and decoding mappings are formulated as a two-player minimax game, with a natural utility function being the rate reduction for distances between mixtures of subspaces in the feature space. Our experiments show that the closed-loop formulation has great potential in terms of visual quality and classification performance.
Article
Operations Research & Management Science
Junfeng Dong, Li Jiang, Wenxing Lu, Qiang Guo
Summary: This study investigates the problem of choosing the appropriate closed-loop supply chain structure for collecting used products from customers under various decision-making structures, marketing environments, and collection cost functions. The research shows that a unique optimal solution exists and identifies differences among the three decision-making structures, providing managerial guidelines.
Article
Energy & Fuels
Dmytro Rudakov, Oleksandr Inkin
Summary: This study develops heat transfer models to evaluate the performance of closed loop geothermal systems. The models consider factors such as probe geometry and heat exchange between tubes, and can calculate performance parameters accurately. Experimental validation shows a high agreement between the calculated and measured results. Additionally, an optimization criterion for geothermal system operation is proposed and tested.
Article
Green & Sustainable Science & Technology
Zhangwei Feng, Tiaojun Xiao, David J. Robb
Summary: This paper studies third-party remanufacturing in a closed loop supply chain by developing game models and considers the impact of green consumer behavior and environmentally responsible behavior on the manufacturer's strategy. The research finds that when there is a significant preference gap between consumers for new and remanufactured products, both the manufacturer and the third-party remanufacturer prefer authorization; however, in the case of high environmental cost, it is difficult for them to select the same remanufacturing strategy.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Aerospace
Pavel N. Kazanskii
Summary: This paper presents an experimental study on pressure fluctuations in closed-loop control in rectangular cavities using plasma dielectric barrier discharge. The results show that modulation of discharge frequency can increase or decrease the peak amplitude of pressure fluctuations.
Article
Nuclear Science & Technology
R. R. Zhang, B. J. Xiao, Z. P. Luo, Q. P. Yuan, M. L. Walker, B. Shen
FUSION ENGINEERING AND DESIGN
(2012)
Article
Nuclear Science & Technology
B. J. Xiao, Q. P. Yuan, D. A. Humphreys, M. L. Walker, A. W. Hyatt, J. A. Leuer, G. L. Jackson, D. Mueller, B. G. Penaflor, D. A. Pigrowski, R. D. Johnson, A. S. Welander, R. R. Zhang, Z. P. Luo, Y. Guo, Z. Xing, Y. Zhang
FUSION ENGINEERING AND DESIGN
(2012)
Article
Nuclear Science & Technology
Q. P. Yuan, B. J. Xiao, R. R. Zhang, M. L. Walker, B. G. Penaflor, D. A. Piglowski, R. D. Johnson
FUSION ENGINEERING AND DESIGN
(2012)
Article
Nuclear Science & Technology
H. L. Yang, J. G. Kwak, Y. K. Oh, K. R. Park, W. C. Kim, S. G. Lee, J. Y. Kim, Y. S. Bae, Y. M. Park, H. K. Kim, Y. Chu, M. K. Park, J. S. Kim, S. R. In, S. H. Joung, W. H. Choe, H. K. Park, Y. S. Hwang, Y. S. Na, J. G. Park, J. W. Ahn, Y. S. Park, M. Kwon, J. A. Leuer, N. W. Eidietis, A. W. Hyatt, M. Walker, Y. Gorelov, J. Lohr, D. Mueller, L. R. Grisham, S. A. Sabbagh, K. Watanabe, T. Inoue, K. Sakamoto, Y. Oda, K. Kajiwara, R. Ellis, J. Hosea, L. Delpech, T. T. Hoang, X. Litaudon, W. Namkung, M. H. Cho
FUSION SCIENCE AND TECHNOLOGY
(2013)
Article
Physics, Fluids & Plasmas
Jong-Gu Kwak, Y. K. Oh, K. P. Kim, S. W. Kim, S. H. Hong, Y. Chu, H. J. Lee, Y. O. Kim, J. Kim, S. L. Park, S. H. Hahn, M. K. Park, H. K. Kim, J. G. Bak, Y. S. Bae, W. H. Ko, S. G. Lee, J. H. Lee, J. I. Jung, K. D. Lee, Y. U. Nam, Y. M. Jeon, S. W. Yoon, A. England, W. C. Kim, K. L. Park, H. K. Na, H. L. Yang, M. Kwon, S. Takahiro, J. A. Leuer, N. W. Eidietis, A. W. Hyatt, M. Walker, D. Mueller, L. R. Grisham, J. K. Park, Y. S. Park, S. A. Sabbagh
IEEE TRANSACTIONS ON PLASMA SCIENCE
(2012)
Article
Physics, Fluids & Plasmas
Justin E. Barton, Mark D. Boyer, Wenyu Shi, Eugenio Schuster, Tim C. Luce, John R. Ferron, Michael L. Walker, David A. Humphreys, Ben G. Penaflor, Robert D. Johnson
Article
Physics, Fluids & Plasmas
D. Moreau, M. L. Walker, J. R. Ferron, F. Liu, E. Schuster, J. E. Barton, D. Boyer, K. H. Burrell, S. M. Flanagan, P. Gohil, R. J. Groebner, C. T. Holcomb, D. A. Humphreys, A. W. Hyatt, R. D. Johnson, R. J. La Haye, J. Lohr, T. C. Luce, J. M. Park, B. G. Penaflor, W. Shi, F. Turco, W. Wehner
Article
Physics, Fluids & Plasmas
S. A. Sabbagh, J. -W. Ahn, J. Allain, R. Andre, A. Balbaky, R. Bastasz, D. Battaglia, M. Bell, R. Bell, P. Beiersdorfer, E. Belova, J. Berkery, R. Betti, J. Bialek, T. Bigelow, M. Bitter, J. Boedo, P. Bonoli, A. Boozer, A. Bortolon, D. Boyle, D. Brennan, J. Breslau, R. Buttery, J. Canik, G. Caravelli, C. Chang, N. Crocker, D. Darrow, B. Davis, L. Delgado-Aparicio, A. Diallo, S. Ding, D. D'Ippolito, C. Domier, W. Dorland, S. Ethier, T. Evans, J. Ferron, M. Finkenthal, J. Foley, R. Fonck, R. Frazin, E. Fredrickson, G. Fu, D. Gates, S. Gerhardt, A. Glasser, N. Gorelenkov, T. Gray, Y. Guo, W. Guttenfelder, T. Hahm, R. Harvey, A. Hassanein, W. Heidbrink, K. Hill, Y. Hirooka, E. B. Hooper, J. Hosea, D. Humphreys, K. Indireshkumar, F. Jaeger, T. Jarboe, S. Jardin, M. Jaworski, R. Kaita, J. Kallman, O. Katsuro-Hopkins, S. Kaye, C. Kessel, J. Kim, E. Kolemen, G. Kramer, S. Krasheninnikov, S. Kubota, H. Kugel, R. J. La Haye, L. Lao, B. LeBlanc, W. Lee, K. Lee, J. Leuer, F. Levinton, Y. Liang, D. Liu, J. Lore, N. Luhmann, R. Maingi, R. Majeski, J. Manickam, D. Mansfield, R. Maqueda, E. Mazzucato, A. McLean, D. McCune, B. McGeehan, G. McKee, S. Medley, E. Meier, J. Menard, M. Menon, H. Meyer, D. Mikkelsen, G. Miloshevsky, D. Mueller, T. Munsat, J. Myra, B. Nelson, N. Nishino, R. Nygren, M. Ono, T. Osborne, H. Park, J. Park, Y. S. Park, S. Paul, W. Peebles, B. Penaflor, R. J. Perkins, C. Phillips, A. Pigarov, M. Podesta, J. Preinhaelter, R. Raman, Y. Ren, G. Rewoldt, T. Rognlien, P. Ross, C. Rowley, E. Ruskov, D. Russell, D. Ruzic, P. Ryan, M. Schaffer, E. Schuster, F. Scotti, K. Shaing, V. Shevchenko, K. Shinohara, V. Sizyuk, C. H. Skinner, A. Smirnov, D. Smith, P. Snyder, W. Solomon, A. Sontag, V. Soukhanovskii, T. Stoltzfus-Dueck, D. Stotler, B. Stratton, D. Stutman, H. Takahashi, Y. Takase, N. Tamura, X. Tang, G. Taylor, C. Taylor, K. Tritz, D. Tsarouhas, M. Umansky, J. Urban, E. Untergberg, M. Walker, W. Wampler, W. Wang, J. Whaley, R. White, J. Wilgen, R. Wilson, K. L. Wong, J. Wright, Z. Xia, D. Youchison, G. Yu, H. Yuh, L. Zakharov, D. Zemlyanov, G. Zimmer, S. J. Zweben
Article
Physics, Fluids & Plasmas
Jong-Gu Kwak, Y. K. Oh, H. L. Yang, K. R. Park, Y. S. Kim, W. C. Kim, J. Y. Kim, S. G. Lee, H. K. Na, M. Kwon, G. S. Lee, H. S. Ahn, J. -W. Ahn, Y. S. Bae, J. G. Bak, E. N. Bang, C. S. Chang, D. H. Chang, Z. Y. Chen, K. W. Cho, M. H. Cho, M. Choi, W. Choe, J. H. Choi, Y. Chu, K. S. Chung, P. Diamond, L. Delpech, H. J. Do, N. Eidietis, A. C. England, R. Ellis, T. Evans, G. Choe, L. Grisham, Y. Gorelov, H. S. Hahn, S. H. Hahn, W. S. Han, T. Hatae, D. Hillis, T. Hoang, J. S. Hong, S. H. Hong, S. R. Hong, J. Hosea, D. Humphreys, Y. S. Hwang, A. Hyatt, K. Ida, Y. K. In, S. Ide, B. Jang, Y. M. Jeon, J. I. Jeong, N. Y. Jeong, S. H. Jeong, J. K. Jin, M. Joung, J. Ju, K. Kawahata, C. H. Kim, Hee-Su Kim, H. S. Kim, H. J. Kim, H. K. Kim, H. T. Kim, J. H. Kim, J. Kim, J. C. Kim, Jong-Su Kim, Jung-Su Kim, J. H. Kim, Kyung-Min Kim, K. J. Kim, K. P. Kim, M. K. Kim, S. T. Kim, S. W. Kim, Y. J. Kim, Y. K. Kim, Y. O. Kim, J. S. Ko, W. H. Ko, Y. Kogi, E. Kolemen, J. D. Kong, S. W. Kwak, J. M. Kwon, O. J. Kwon, D. G. Lee, D. R. Lee, D. S. Lee, H. J. Lee, J. Lee, J. H. Lee, K. D. Lee, K. S. Lee, S. H. Lee, S. I. Lee, S. M. Lee, T. G. Lee, W. Lee, W. L. Lee, D. S. Lim, X. Litaudon, J. Lohr, D. Mueller, K. M. Moon, D. H. Na, Y. S. Na, Y. U. Nam, W. Namkung, K. Narihara, S. T. Oh, D. G. Oh, T. Ono, B. H. Park, D. S. Park, G. Y. Park, H. Park, H. T. Park, J. K. Park, J. S. Park, M. K. Park, S. H. Park, S. Park, Y. M. Park, Y. S. Park, R. Parker, D. R. Rhee, S. A. Sabbagh, K. Sakamoto, S. Shiraiwa, D. C. Seo, S. H. Seo, J. C. Seol, Y. J. Shi, S. H. Son, N. H. Song, T. Suzuki, L. Terzolo, M. Walker, G. Wallace, K. Watanabe, S. J. Wang, H. J. Woo, I. S. Woo, M. Yagi, Y. W. Yu, I. Yamada, Y. Yonekawa, C. M. Yoo, K. I. You, J. W. Yoo, G. S. Yun, M. G. Yu, S. W. Yoon, W. Xiao, S. Zoletnik
Article
Physics, Fluids & Plasmas
Q. P. Yuan, B. J. Xiao, Z. P. Luo, M. L. Walker, A. S. Welander, A. Hyatt, J. P. Qian, R. R. Zhang, D. A. Humphreys, J. A. Leuer, R. D. Johnson, B. G. Penaflor, D. Mueller
Article
Physics, Fluids & Plasmas
Mark D. Boyer, Justin Barton, Eugenio Schuster, Tim C. Luce, John R. Ferron, Michael L. Walker, David A. Humphreys, Ben G. Penaflor, Robert D. Johnson
PLASMA PHYSICS AND CONTROLLED FUSION
(2013)
Proceedings Paper
Automation & Control Systems
William Wehner, Wenyu Shi, Eugenio Schuster, Didier Moreau, Michael L. Walker, John R. Ferron, Tim C. Luce, David A. Humphreys, Ben G. Penaftor, Robert D. Johnson
2013 AMERICAN CONTROL CONFERENCE (ACC)
(2013)
Proceedings Paper
Automation & Control Systems
Wenyu Shi, William Wehner, Justin Barton, Mark D. Boyer, Eugenio Schuster, Arnold Kritz, Didier Moreau, Tim C. Luce, John R. Ferron, Michael L. Walker, David A. Humphreys, Ben G. Penaflor, Robert Johnson
2013 AMERICAN CONTROL CONFERENCE (ACC)
(2013)
Proceedings Paper
Automation & Control Systems
Wenyu Shi, William Wehner, Justin Barton, Mark D. Boyer, Eugenio Schuster, Didier Moreau, Tim C. Luce, John R. Ferron, Michael L. Walker, David A. Humphreys, Ben G. Penaflor, Robert D. Johnson
2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)
(2012)
Proceedings Paper
Automation & Control Systems
Mark D. Boyer, Justin Barton, Eugenio Schuster, Tim C. Luce, John R. Ferron, Michael L. Walker, David A. Humphreys, Ben G. Penaflor, Robert D. Johnson
2012 AMERICAN CONTROL CONFERENCE (ACC)
(2012)
Article
Automation & Control Systems
Xiaoyu Luo, Chengcheng Zhao, Chongrong Fang, Jianping He
Summary: This paper investigates the problem of false data injection attacks in multi-agent dynamical systems and proposes FDI attack set selection algorithms to maximize the convergence error by finding the optimal subset of compromised agents.
Article
Automation & Control Systems
Nitin K. Singh, Abhisek K. Behera
Summary: In this paper, a twisting observer is proposed for robustly estimating the states of a second-order uncertain system. The observer approximates the unknown sign term for the non-measurable state with a delayed output-based switching function, and achieves the desired steady-state accuracy by controlling the delay parameter. The application of the observer to output feedback stabilization is also discussed.
Article
Automation & Control Systems
Alexander Aleksandrov
Summary: This paper investigates the absolute stability problem for positive Persidskii systems with delay, proposes a special construction method for diagonal Lyapunov-Krasovskii functionals, and derives a criterion for the existence of such functionals guaranteeing the absolute stability, as well as obtaining sufficient conditions for a family of time-delay Persidskii systems to construct a common diagonal Lyapunov-Krasovskii functional. The efficiency of the developed approaches is demonstrated through four examples.
Article
Automation & Control Systems
Noureddine Toumi, Roland Malhame, Jerome Le Ny
Summary: This paper addresses large multi-agent dynamic discrete choice problems using a linear quadratic mean field games framework. The model incorporates the features where agents have to reach a predefined set of possible destinations within a fixed time frame and running costs can become negative to simulate crowd avoidance. An upper bound on the time horizon is derived to prevent agents from escaping to infinity in finite time. The existence of a Nash equilibrium for infinite population and its epsilon-Nash property for a large but finite population are established. Simulations are conducted to explore the model behavior in various scenarios.
Article
Automation & Control Systems
Philippe Schuchert, Vaibhav Gupta, Alireza Karimi
Summary: This paper presents the design of fixed-structure controllers for the As2 and Asw synthesis problem using frequency response data. The minimization of the norm of the transfer function between the exogenous inputs and performance outputs is approximated through a convex optimization problem involving Linear Matrix Inequalities (LMIs). A general controller parametrization is used for continuous and discrete-time controllers with matrix transfer function or state-space representation. Numerical results show that the proposed data-driven method achieves performance equivalent to model-based approaches when a parametric model is available.
Correction
Automation & Control Systems
Zhijun Guo, Gang Chen
Article
Automation & Control Systems
Matteo Della Rossa, Thiago Alves Lima, Marc Jungers, Raphael M. Jungers
Summary: This paper presents new stabilizability conditions for switched linear systems with arbitrary and uncontrollable underlying switching signals. The study focuses on two specific settings: the robust case with completely unknown and unobservable active mode, and the mode-dependent case with controller depending on the current active switching mode. The technical developments are based on graph-theory tools and path-complete Lyapunov functions framework, enabling the design of robust and mode-dependent piecewise linear state-feedback controllers using directed and labeled graphs.
Article
Automation & Control Systems
Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, W. P. M. H. (Maurice) Heemels
Summary: This study investigates a scenario where a perturbed nonlinear system transmits its output measurements to a remote observer via a packet-based communication network. By designing both the observer and the local transmission policies, accurate state estimates can be obtained while only sporadically using the communication network.
Article
Automation & Control Systems
Jonas Krook, Robi Malik, Sahar Mohajerani, Martin Fabian
Summary: This paper proposes a method to synthesise controllers for cyber-physical systems subjected to disturbances, such that the controlled system satisfies specifications given as linear temporal logic formulas. The approach constructs a finite-state abstraction of the original system and synthesises a controller for the abstraction. It introduces the robust stutter bisimulation relation to account for disturbances and uncertainty, ensuring that related states have similar effects under the same controller. The paper demonstrates that the existence of a controller for the abstracted system implies the existence of a controller for the original system enforcing the linear temporal logic formula.
Article
Automation & Control Systems
Clement Chahbazian, Karim Dahia, Nicolas Merlinge, Benedicte Winter-Bonnet, Aurelien Blanc, Christian Musso
Summary: The paper derives a recursive formula of the Fisher information matrix on Lie groups and applies it to nonlinear Gaussian systems on Lie groups for testing. The proposed recursive CRLB is consistent with state-of-the-art filters and exhibits representative behavior in estimation errors. This paper provides a simple method to recursively compute the minimal variance of an estimator on matrix Lie groups, which is fundamental for implementing robust algorithms.
Article
Automation & Control Systems
Yiheng Fu, Pouria Ramazi
Summary: This study investigates the characteristics of decision fluctuations in heterogeneous populations and explores the uncertainties in imitation behavior. The findings are important for understanding the bounded rationality nature of imitation behaviors.
Article
Automation & Control Systems
Lars A. L. Janssen, Bart Besselink, Rob H. B. Fey, Nathan van de Wouw
Summary: This paper introduces a mathematical relationship between the accuracy of reduced-order linear-time invariant subsystem models and the stability and accuracy of the resulting reduced-order interconnected linear time-invariant model. This result can be used to directly translate the accuracy characteristics of the reduced-order subsystem models to the accuracy properties of the interconnected reduced-order model, or to translate accuracy requirements on the interconnected system model to accuracy requirements on subsystem models.
Article
Automation & Control Systems
Piyush Gupta, Vaibhav Srivastava
Summary: We study the optimal fidelity selection for a human operator servicing tasks in a queue, considering the trade-off between high-quality service and penalty due to increased queue length. By modeling the operator's cognitive dynamics and task fidelity, we determine the optimal policy and value function numerically, and analyze the structural properties of the optimal fidelity policy.
Article
Automation & Control Systems
Lukas Schwenkel, Alexander Hadorn, Matthias A. Mueller, Frank Allgoewer
Summary: In this work, the authors study economic model predictive control (MPC) in periodic operating conditions. They propose a method to achieve optimality by multiplying the stage cost by a linear discount factor, which is easy to implement and robust against online changes. Under certain assumptions, they prove that the resulting linearly discounted economic MPC achieves optimal asymptotic average performance and guarantees practical asymptotic stability of the optimal periodic orbit.
Article
Automation & Control Systems
Taher Ebrahim, Sankaranarayanan Subramanian, Sebastian Engell
Summary: We propose a robust nonlinear model predictive control algorithm for dynamic systems with mixed degrees of freedom. This algorithm optimizes both continuous and discrete manipulated variables, enhancing closed-loop performance. Our approach relies on a computationally efficient relaxation and integrality restoration strategy and provides sufficient conditions to establish recursive feasibility and guarantee robust closed-loop stability. The effectiveness of the approach is demonstrated through two nonlinear simulation examples.