Article
Engineering, Multidisciplinary
R. Ashok, S. R. Manam
Summary: This study addresses the mixed boundary value problem associated with scattering of obliquely incident water waves by a flexible porous barrier, converting the originally defined half-plane problem into a quarter-plane problem. A novel connection is established between the solution potential of the converted problem and a resolvable potential in the quarter-plane, with Galerkin approximation used to obtain close bounds for the reflection and transmission coefficients. Numerical results for scattering quantities against various parameters in each of the problems are presented.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2021)
Article
Mathematics
Yuri Mitrishkin, Evgeniia Pavlova, Mikhail Khlebnikov
Summary: This paper focuses on the synthesis, comparison, and optimization of robust LMI-control systems for the vertical plasma position in a D-shaped tokamak. It explores the possibilities of utilizing LMI robust control systems, using a unique unstable first-order plasma model, to reject disturbances and reference signals. The main achievement of this work is the optimization of robust control systems for an unstable plant with uncertain disturbances using a set of LMI synthesis approaches.
Article
Engineering, Marine
Ferdi Cakici
Summary: This paper conducts vertical motion state estimation and control simulation using the LQG approach for a passenger ship in irregular bow quartering waves. The results demonstrate that the LQG approach can reduce bow motions and accelerations effectively.
Article
Automation & Control Systems
Yu. V. Mitrishkin, P. S. Korenev, A. E. Konkov, N. M. Kartsev
Summary: This paper investigates the stability of the vertical position of plasma in modern D-shaped tokamaks. By introducing an additional horizontal field coil, the controllability range is significantly increased. Two robust systems for controlling the vertical position of plasma are synthesized using H-infinity optimization theory and PID controllers. The results show that the modernization of the poloidal system leads to improvements in system stability and reliability.
AUTOMATION AND REMOTE CONTROL
(2022)
Article
Mathematics, Applied
Weixing Zhang, Wei Zhang, Xiangying Guo
Summary: This paper proposes a nonlinear energy sink (NES) with an inertial amplifier (NES-IA) to control the vertical vibration of objects under harmonic and shock excitations. The research findings indicate that the NES-IA can effectively attenuate the responses of the main oscillator even with a mass as low as 1% of the main oscillator. Nonlinear stiffness and damping also play important roles in the system's performance.
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION
(2023)
Article
Computer Science, Interdisciplinary Applications
Nirupam Sahoo, Randhir Singh
Summary: We propose a new efficient semi-numerical method for solving the Lane-Emden-Fowler type equations that arise in various scientific applications. Unlike the existing methods, the current approach does not require the calculation of transcendental equations for the unknown coefficients. The new approach resolves the issue of the existing method, which allows only capturing the solutions for the smaller domain of the solution.
JOURNAL OF COMPUTATIONAL SCIENCE
(2023)
Article
Physics, Fluids & Plasmas
S. Naito, M. Murayama, S. Hatakeyama, D. Kuwahara, Y. Suzuki, H. Tsutsui, S. Tsuji-Iio
Summary: Saddle coils and toroidal magnetic field coils are proposed to have a stabilizing effect on the vertical position of plasma, with experimental evidence showing that the average magnetic field generated by these coils can stabilize the plasma and achieve vertical elongation when under control.
Article
Mathematics
Pau Zamora-Ortiz, Javier Carral-Alvaro, Angel Valera, Jose L. Pulloquinga, Rafael J. Escarabajal, Vicente Mata
Summary: This manuscript describes a mathematical procedure for identifying the inertial parameters of uterine manipulators, needed to establish accurate position and force control for surgical operations. The method is based on solving the equations for static equilibrium of rigid solids to compute the mass and center of mass of the manipulator. By estimating the manipulator's inertial parameters, the paper shows how to calculate the force exerted by the manipulator accurately and efficiently.
Article
Computer Science, Artificial Intelligence
Wei Yao, Chunhua Wang, Yichuang Sun, Shuqing Gong, Hairong Lin
Summary: This paper investigates the robust exponential synchronization of inertial memristive neural networks (IMNNs) with time-varying delays and parameter disturbance through event-triggered control (ETC) scheme. The delayed IMNNs are transformed into first-order MNNs with parameter disturbance by constructing proper variable substitutions. Then, a state feedback controller is designed for response IMNNs with parameter disturbance, and ETC methods are provided to decrease the update times of controller.
Article
Mechanics
D. V. Douanla, C. G. L. Tiofack, Alim, A. A. Mohamadou, Haifa Alyousef, Sherif. M. E. Ismaeel, S. A. El-Tantawy
Summary: This study theoretically investigates the dynamics and collisions of oppositely traveling dust acoustic (DA) shock excitations in a three-dimensional self-gravitating magnetized electron-depleted dusty plasma. The results show that gravitation introduces instability, reduces wave damping rate, and affects the characteristics of compressive and rarefactive shocks. The study also highlights the role of the magnetic field, viscosity, ion nonextensivity, and obliqueness in the collision process. These findings contribute to a better understanding of dust acoustic shock waves in laboratory and astrophysical scenarios.
Article
Automation & Control Systems
Jinghao Zhu
Summary: This paper studies a computational approach to the Hamilton-Jacobi-Bellman (HJB) equation for singular optimal control with mixed control-state constraints. The authors propose a nonlinear diffusion equation for the viscosity approximation of the corresponding partial differential equation. They construct an extremal flow, represented by a differential-algebraic equation, to approximate the optimal objective value of the singular optimal control problem. Several examples are provided to illustrate the effectiveness of this computational approach.
INTERNATIONAL JOURNAL OF CONTROL
(2023)
Article
Materials Science, Multidisciplinary
Stephanie Ganyou, Serge I. Fewo, Cherif S. Panguetna, Timoleon C. Kofane
Summary: The dynamics of (2+1)-dimensional ion-acoustic wave packets in magnetized electroneg-ative plasma are studied. The obtained nonlinear Schrodinger equation depends on system parameters and the magnetic field. The modulational instability and the characteristics of the ion-acoustic waves are analyzed using the variational method.
RESULTS IN PHYSICS
(2023)
Article
Physics, Multidisciplinary
R. Saleh, A. S. Rashed, Abdul-Majid Wazwaz
Summary: Nonlinear shock waves in plasma were modeled and studied using the sixth order Ramani equation and its coupled form representing the interaction between two waves. A new combined methodology of Lie infinitesimal transformation and singular manifold methods was exploited to create analytical solutions, extending the method to investigate a coupled system of evolution equations as well as a single evolution equation, and soliton solutions were obtained for both models.
Article
Mathematics, Applied
Yue Hu, Chenxiao Cai, SeungHoon Lee, YongGwon Lee, Oh -Min Kwon
Summary: This article discusses the H infinity control problem of networked singularly perturbed systems (SPSs) under fading channel using the interval type-2 (IT2) fuzzy model. A weighted try-once-discard (WTOD) communication scheme is adopted to prevent data collision by adjusting the communication sequence of sensor nodes. The behavior of the fading channels in unreliable networks is described using a time-varying stochastic process model. A new IT2 fuzzy controller is constructed for the networked IT2 fuzzy SPSs considering the effect of fading channels and the WTOD protocol. The mean square stability of networked IT2 fuzzy SPSs is guaranteed by establishing sufficient conditions using a singular perturbation parameter (SPP) dependent Lyapunov function, and the numerical stiffness issue is avoided. The practicability of the proposed methods is demonstrated through a tunnel diode circuit simulation.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Nuclear Science & Technology
Federico Pesamosca, Federico Felici, Stefano Coda, Cristian Galperti
Summary: This study optimizes the vertical control of elongated plasmas in tokamaks by applying modern control theory to electromagnetic models. By using different timescales and optimization combinations to control the vertical position of the plasma, the closed-loop performance is improved.
FUSION SCIENCE AND TECHNOLOGY
(2022)
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
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, Michael L. Walker, Tim C. Luce, John R. Ferron, Ben G. Penaflor, Robert D. Johnson, David A. Humphreys
2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)
(2012)
Proceedings Paper
Computer Science, Hardware & Architecture
L. Zabeo, G. Ambrosino, M. Cavinato, Y. Gribov, D. Humphreys, J. A. Snipes, M. Walker, A. Kavin, V. Lukash, G. Vayakis
2012 18TH IEEE-NPSS REAL TIME CONFERENCE (RT)
(2012)
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. Penaflor, Robert D. Johnson
2012 AMERICAN CONTROL CONFERENCE (ACC)
(2012)
Proceedings Paper
Automation & Control Systems
M. L. Walker
2012 AMERICAN CONTROL CONFERENCE (ACC)
(2012)
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 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.