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20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

作者： Koehler, Philipp N. Mueller, Matthias A. Pannek, Juergen Allgoewer, Frank Univ Stuttgart Inst Syst Theory & Automat Control Stuttgart Germany Univ Bremen Dept Prod Engn Bremen Germany BIBA Bremer Inst Prod & Logist GmbH Bremen Germany

In this work, we propose a sequential distributed MPC algorithm for control of a linear supply chain. The algorithm is developed by closely taking into account supply chain specifics and requirements from practice, e.g., orders and leavings are both treated as decision variables at each stage and communication between stages is kept low. We present the rather surprising result that terminal equality constraints employed in the local MPC formulations are inherently satisfied for the overall system, despite the presence of bilateral dynamic couplings and solving the local MPC problems sequentially. This is due to the stock and flow nature of the problem. The proposed algorithm is shown to be recursively feasible, to asymptotically satisfy a constant customer demand and to achieve asymptotic convergence of the local stock and backlog to the desired levels. This is illustrated by numerical simulations. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Decentralized and distributed control complex logistic systems modeling and decision making in complex systems Multiagent systems

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modeling the Co-evolution of Climate Impact and Population Behavior: A Mean-Field Analysis 22

Modeling the Co-evolution of Climate Impact and Population B...

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22nd World Congress of the International Federation of Automatic Control (IFAC)

作者： Frieswijk, K. Zino, L. Cao, M. Morse, A. S. Univ Groningen Discrete Technol & Prod Automat Engn & Technol Inst Groningen Groningen Netherlands Politecn Torino Dept Elect & Telecommun Turin Italy Yale Univ Dept Elect Engn New Haven CT 06511 USA

ISBN: (纸本)9781713872344

Motivated by the climate crisis currently ravaging the planet, we propose and analyze a novel framework for the coupled evolution of anthropogenic climate impact and human environmental behavior. Our framework includes a human decision-making process that captures social influence, government policy interventions, and the cost of acting environmentally friendly, modeled within a game-theoretic paradigm. By taking a mean-field approach at the limit of large populations, we derive the equilibria and their local stability characteristics. Subsequently, we study global convergence, showing that the system converges to a periodic solution for almost all initial conditions. Numerical simulations confirm our findings and suggest that the level of environmental impact might become dangerously high before the system reaches the periodic solution, calling for the design of optimal control strategies to influence the system trajectory. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： multi-agent systems modeling and decision making in complex systems climate

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Interconnections of dissipative systems and distributed economic MPC

Interconnections of dissipative systems and distributed econ...

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6th International-Federation-of-Automatic-Control (IFAC) Conference on Nonlinear-Model-Predictive-Control (NMPC)

作者： Koehler, Philipp N. Mueller, Matthias A. Allgoewer, Frank Univ Stuttgart Inst Syst Theory & Automat Control Stuttgart Germany

The interconnection of dynamically decoupled subsystems, each exhibiting a certain dissipativity property considered in the context of economic MPC, is investigated. Interconnection of the subsystems is by means of their cost functions being separable in a purely local economic and a coupling cost term. For certain classes of quadratic interconnection costs we provide conditions on the interconnection structure under which the overall system exhibits the same dissipativity property. Moreover, we apply a non-iterative distributed MPC scheme to the interconnected system which yields asymptotic stability of the overall optimal steady state by exploiting the structural properties of the system interconnection. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Decentralized and distributed control Economic MPC modeling and decision making in complex systems Multiagent systems

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modeling the Co-evolution of Climate Impact and Population Behavior: A Mean-Field Analysis⋆

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IFAC-PapersOnLine 2023年第2期56卷 7381-7386页

作者： K. Frieswijk L. Zino M. Cao A.S. Morse Discrete Technology & Production Automation Engineering and Technology Institute Groningen University of Groningen Groningen The Netherlands Department of Electronics and Telecommunications Politecnico di Torino Turin Italy Department of Electrical Engineering Yale University New Haven CT 06511 USA

关键词： multi-agent systems modeling and decision making in complex systems climate

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Distributed economic model predictive control for cooperative supply chain management using customer forecast information

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IFAC JOURNAL OF systems AND CONTROL 2021年 15卷

作者： Koehler, Philipp N. Mueller, Matthias A. Pannek, Juergen Allgoewer, Frank Univ Stuttgart Inst Syst Theory & Automat Control Pfaffenwaldring 9 D-70569 Stuttgart Germany Leibniz Univ Hannover Inst Automat Control D-30167 Hannover Germany BIBA Bremer Inst Prod & Logist GmbH D-28359 Bremen Germany Univ Bremen Dept Prod Engn D-28359 Bremen Germany

Efficient operation of supply chain systems by means of distributed model predictive control is studied in this work. The main focus is on the exploitation and sharing of predictive information on delivery and demand throughout the supply chain. Based on the availability of customer demand predictions, which are assumed to be reliable to some extent, two distributed model predictive control algorithms for supply chain operation are proposed, analyzed and investigated in numerical simulations. The mechanisms employed for information exchange throughout the supply chain differ in both approaches. The first approach establishes and implements the exchange of semi-accurate predictions, which explicitly requires predicted trajectories to only vary slightly from one time step to the next. In the second approach, information exchange is rather indirect by means of terminal constraints in the local MPC formulations, explicitly relying on the stock and flow nature of the overall system. The two approaches considerably differ in terms of system setup, requirements and corresponding results, and hence provide a flexible framework for leveraging predictive information in supply chain system management. As such, they form a basis for further investigations towards the ultimate goal of quantifying the value of predictive information in supply chain systems. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Decentralized and distributed control complex logistic systems modeling and decision making in complex systems Multiagent systems Distributed economic model predictive control

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