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This article investigates the resilient noncooperative game strategy design problem for the continuous-time system subjected to the Wiener type disturbance. To reflect the reality, the fading measurement and gain perturbation phenomena are simultaneously taken into consideration. Due to the considered complexities, there is little chance of obtaining the accurate cost function. For the sake of quantifying the controller performance, we resort to a certain upper bound of cost function (UBoCF) as an alternative. Then, the so-called noncooperative game strategy is designed which is capable of minimizing the derived UBoCF in a parallel manner. The designed noncooperative game strategy is the solution to a bunch of coupled differential Riccati-like equations (DREs). In addition, the theory analysis is generalized to the infinite-horizon with hope to describe the steady-state behavior. Specifically, the restraint conditions are provided to guarantee the stability of the system. Finally, a numerical example on the load frequency control (LFC) system is shown to verify the effectiveness of the proposed methodology.
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http://dx.doi.org/10.1109/TCYB.2024.3430230 | DOI Listing |
J Environ Manage
August 2025
Department of Chemical Engineering, Faculty of Engineering-Rabigh Branch, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. Electronic address:
Textile companies generate significant wastewater rich in dyes and organic acids, posing a threat to surface and groundwater quality if untreated. This study employs a game-theoretic (GT) approach using backward induction to optimize the removal of total suspended solids (TSS) and total dissolved solids (TDS) in wastewater treatment plants (WWTPs). The research identifies effective strategies for unit selection by analyzing interactions among pseudo-passive treatment units.
View Article and Find Full Text PDFJ Environ Manage
August 2025
F.C. Manning School of Business Administration, Acadia University, Wolfville, NS, Canada. Electronic address:
China's commitment to fighting air pollution has propelled the greening of supply chains to the forefront of its long-term strategy. This study proposes a coordinated policy approach to greening supply chains. It investigates how strategic interactions between the government, manufacturers, and retailers can be shaped by various policy mixes (involving subsidies, environmental tax, and carbon trading) to promote sustainable practices in supply chains.
View Article and Find Full Text PDFJ Environ Manage
August 2025
Department of Management and Law, University of Rome Tor Vergata, Rome, Italy. Electronic address:
Urban mining recovery and reuse involve a complex system of multiple agents with independent interests across different stages. This study examines the dual-layer coordination among four key agents-supplying, recycling and sorting, reuse, and regulatory-using multi-period game theory and a heterogeneous social network model. By integrating these models with a multi-agent based simulation (MABS), we achieve bidirectional feedback and dynamic interactions.
View Article and Find Full Text PDFPLoS One
May 2025
School of Management, Shenyang University of Technology, Shenyang, Liaoning, China.
This study develops a dual-channel supply chain coordination model for services aimed at older adults, taking into account differentiated government subsidies. Utilizing Hotelling and Stackelberg game models, we systematically examine optimal strategies across three distinct scenarios: a non-cooperative mode, cooperation between online channels and logistics suppliers, and a tripartite collaboration involving both online and offline channels alongside logistics suppliers. The results demonstrate that the optimal pricing and service levels attained in cooperative scenarios exceed those observed in non-cooperative settings.
View Article and Find Full Text PDFCent Eur J Oper Res
March 2025
Department of Economics, University of Klagenfurt, Universitätsstrasse 65-67, 9020 Klagenfurt, Austria.
In this paper, we modify and extend a model of macroeconomic stabilization policies for a dynamic economy by Leitmann and Wan. We combine a model of long-run output growth and a steady state of no growth with a model of short-run deviations from this growth path based on Keynesian and Monetarist macroeconomic hypotheses. We determine numerically the effects of demand and supply shocks and approximately optimal reactions of fiscal and monetary policies to these shocks for a policy maker in charge of both fiscal and monetary policy using an optimal control algorithm.
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