{"title":"Optimal tracking control for multi-player systems with irregular full-state constraints","authors":"Haoming Zou , Guoshan Zhang","doi":"10.1016/j.cnsns.2025.109295","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the optimal tracking control problem for multi-player systems with irregular full-state constraints utilizing state-dependent transformation technique and adaptive dynamic programming (ADP). Firstly, the connection function, switching and decision function, and barrier function are designed to transform irregular full-state constraints problem into the stabilization problem of barrier function. Besides, a similar idea is employed for the objective trajectory. Next, using the newly generated system and the objective trajectory, an augmented system is established to reformulate the tracking problem as an optimal regulation problem. Then, a dynamic event-triggered control scheme using ADP-based critic neural network is utilized to obtain the optimal solution while conserving communication and computational resources. It is proven that all signals of the closed-loop system are uniformly ultimately bounded. Finally, the proposed method for addressing the aforementioned issues is validated through numerical simulation examples.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"152 ","pages":"Article 109295"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425007051","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates the optimal tracking control problem for multi-player systems with irregular full-state constraints utilizing state-dependent transformation technique and adaptive dynamic programming (ADP). Firstly, the connection function, switching and decision function, and barrier function are designed to transform irregular full-state constraints problem into the stabilization problem of barrier function. Besides, a similar idea is employed for the objective trajectory. Next, using the newly generated system and the objective trajectory, an augmented system is established to reformulate the tracking problem as an optimal regulation problem. Then, a dynamic event-triggered control scheme using ADP-based critic neural network is utilized to obtain the optimal solution while conserving communication and computational resources. It is proven that all signals of the closed-loop system are uniformly ultimately bounded. Finally, the proposed method for addressing the aforementioned issues is validated through numerical simulation examples.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.