Optimal Control Applications and Methods最新文献_第5页

A numerical method for consensus control of leader‐following multi‐agent systems with the input delay 具有输入延迟的领导者-跟随者多代理系统共识控制的数值方法

Optimal Control Applications and Methods Pub Date : 2024-06-26 DOI: 10.1002/oca.3163

Kunlong Bao, Yuhao Cong, Renhong Hu

引用次数: 0

An improved MPSP‐based path‐following control method for USV with input disturbances 基于 MPSP 的具有输入干扰的改进型 USV 路径跟踪控制方法

Optimal Control Applications and Methods Pub Date : 2024-06-26 DOI: 10.1002/oca.3166

Ao Li, Xiaoxiang Hu, Kejun Dong, Bing Xiao

引用次数: 0

Iterative learning observer‐based fault‐tolerant control for on‐orbit serving spacecraft with coupled orbit and attitude dynamics 基于迭代学习观测器的容错控制，适用于轨道和姿态动态耦合的在轨服务航天器

Optimal Control Applications and Methods Pub Date : 2024-06-20 DOI: 10.1002/oca.3165

Shiyi Li, Kerun Liu, Ming Liu

引用次数: 0

Parameter optimization of type II fuzzy sliding mode control for bridge crane systems based on improved grey wolf algorithm 基于改进灰狼算法的桥式起重机系统 II 型模糊滑模控制参数优化

Optimal Control Applications and Methods Pub Date : 2024-05-22 DOI: 10.1002/oca.3141

Zhiqiang Sun, Zhe Sun, Xiangpeng Xie, Zhixin Sun

{"title":"Parameter optimization of type II fuzzy sliding mode control for bridge crane systems based on improved grey wolf algorithm","authors":"Zhiqiang Sun, Zhe Sun, Xiangpeng Xie, Zhixin Sun","doi":"10.1002/oca.3141","DOIUrl":"https://doi.org/10.1002/oca.3141","url":null,"abstract":"Bridge cranes are complex nonlinear dynamic systems with underactuated characteristics, making it challenging for controllers to man age the spatial swing of the load effectively. Additionally, uncertainties both within and outside the system adversely impact control performance. To address these issues, a Type‐II fuzzy sliding mode controller has proven effective in enhancing the anti‐swing control performance of the payload. However, due to the intricate parameter adjustment optimization problem and potential challenges in dealing with nonlinearity and uncertainty, especially in complex dynamic systems, this paper proposes a grey wolf algorithm based on a dynamic spiral hunting mechanism. This enhancement endows the algorithm with improved convergence speed and higher robustness, enabling more effective parameter tuning for the second‐order fractional‐order sliding mode controller (FSMC). The proposed algorithm demonstrates superior convergence speed and solution accuracy performance through testing and comparison. Finally, simulation verification under two conditions of the bridge crane system validates the effectiveness of the proposed approach.","PeriodicalId":501055,"journal":{"name":"Optimal Control Applications and Methods","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141112494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive event‐triggered control and observer design for discrete‐time nonlinear Markov jump systems with DoS attacks using policy iteration‐based adaptive dynamic programming 利用基于策略迭代的自适应动态编程为具有 DoS 攻击的离散-时非线性马尔可夫跃迁系统设计自适应事件触发控制和观测器

Optimal Control Applications and Methods Pub Date : 2024-05-20 DOI: 10.1002/oca.3142

Hongqian Lu, Haobo Xing, Wuneng Zhou

{"title":"Adaptive event‐triggered control and observer design for discrete‐time nonlinear Markov jump systems with DoS attacks using policy iteration‐based adaptive dynamic programming","authors":"Hongqian Lu, Haobo Xing, Wuneng Zhou","doi":"10.1002/oca.3142","DOIUrl":"https://doi.org/10.1002/oca.3142","url":null,"abstract":"This article addresses adaptive event‐triggered discrete‐time nonlinear Markov jump systems (MJs) with DoS attacks, where the introduced DoS attacks are considered as more general stochastic models with fixed trigger frequency and duration. To solve the optimal control problem, we use an adaptive dynamic programming (ADP) algorithm based on policy iteration (PI). The approximate process is as follows: the performance index function (PIF) is first updated by the iteration policy in advance, and the control policy is obtained from the PIF. Subsequently, an approximate estimation of the optimal PIF and the optimal control policy is made using the actor‐critic structure obtained through neural network techniques. In order to reduce the occupied communication resources required for control policy iteration, we introduce an adaptive event triggering mechanism with an adaptive triggering threshold, which reduces the conservatism of resource occupation by the PIF compared to the fixed‐threshold ETM. In addition, an observer identifying the unknown dynamics part of the system is designed. Finally, using the Lyapunov function, it is shown that the designed control policy ensures the stability and convergence of the MJS, and the designed observer is effective. Simulation examples are given to verify the feasibility of the controller and the observer.","PeriodicalId":501055,"journal":{"name":"Optimal Control Applications and Methods","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141123023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cluster synchronization control for the complex network with dynamic connection relations 具有动态连接关系的复杂网络的集群同步控制

Optimal Control Applications and Methods Pub Date : 2024-05-20 DOI: 10.1002/oca.3143

Jinbiao Chen, Yinhe Wang, Yi Peng, Xiaoxi Wang

{"title":"Cluster synchronization control for the complex network with dynamic connection relations","authors":"Jinbiao Chen, Yinhe Wang, Yi Peng, Xiaoxi Wang","doi":"10.1002/oca.3143","DOIUrl":"https://doi.org/10.1002/oca.3143","url":null,"abstract":"In this article, the cluster synchronization control for a complex dynamic network (CDN) with mutually coupled nodes subsystem (NS) and connection relations subsystem is investigated. The process of cluster synchronization is segmented into three dynamic continuous stages: first, the free movement, then the task‐oriented clustering, and finally the cluster synchronization. The control scheme, founded on the clustering nodes of CDN, is proposed, such that the cluster synchronization arises when clustering all the nodes into two different sub‐networks (SNs). This approach originates from the flight motion for a group of autonomous aircrafts. At a certain moment, free flight is interrupted, and all the aircrafts split into two SNs according to the given clustering rules. Then the two controlled SNs are required to achieve cluster synchronization, that is, every SN converges to the same in speed. In order to split all the nodes into two different SNs, a clustering algorithm according to the “central nodes” is proposed. Based on Lyapunov stability theory, by designing the suitable inner cluster links, the adaptive controller of NS for each SN is synthesized to guarantee the stability of the error system. It is shown that the eventual inner topology of each SN is displayed in the pre‐given form when the cluster synchronization achieves. Finally, the merits and effectiveness of the proposed control scheme are verified by a simulation example.","PeriodicalId":501055,"journal":{"name":"Optimal Control Applications and Methods","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141122093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical analysis of optimal control problems governed by fourth‐order linear elliptic equations using the Hessian discretization method 利用 Hessian 离散法对受四阶线性椭圆方程支配的优化控制问题进行数值分析

Optimal Control Applications and Methods Pub Date : 2024-05-18 DOI: 10.1002/oca.3135

Devika Shylaja

引用次数: 0

A Hybrid Wild Horses Optimization (WHO) and Dwarf Mongoose Optimization (DMO) method for optimum energy management in SG system 混合野马优化法（WHO）和矮獴优化法（DMO）用于优化 SG 系统的能源管理

Optimal Control Applications and Methods Pub Date : 2024-05-08 DOI: 10.1002/oca.3131

P. Ganesan, S. Arockia Edwin Xavier

{"title":"A Hybrid Wild Horses Optimization (WHO) and Dwarf Mongoose Optimization (DMO) method for optimum energy management in SG system","authors":"P. Ganesan, S. Arockia Edwin Xavier","doi":"10.1002/oca.3131","DOIUrl":"https://doi.org/10.1002/oca.3131","url":null,"abstract":"A hybrid technique is proposed for the energy management (EM) of smart grid (SG) systems. The proposed method integrates the Wild Horse Optimization (WHO) and dwarf mongoose optimization (DMO) methods; hence, it is named the WHO–DMO approach. The Micro‐grid (MG)‐tied system is a combination of battery, micro turbine (MT), photovoltaic (PV), and Wind Turbine (WT). The key aim of the proposed approach is to manage the resources and power of the SG model and reduce the cost of electricity. The objective of the system is to improve load demand. The WHO method is enhanced by the DMO method, which minimizes the objective of the system. Access to power demand, state of charge (SOC), and renewable energy sources (RESs) for storing elements are considered constraints of the system. The unit of renewable power systems relies on batteries as energy sources to stabilize and sustain stable and consistent output power throughout the operation. The proposed technique is done in MATLAB platform and its implementation is calculated using the existing methods. From the simulation, the proposed method has less cost and higher power than the existing methods.","PeriodicalId":501055,"journal":{"name":"Optimal Control Applications and Methods","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140938880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Iterative algorithm to the generalized coupled Sylvester‐transpose matrix equations with application in robust and minimum norm observer design of linear systems 广义耦合西尔维斯特-跨距矩阵方程的迭代算法及其在线性系统鲁棒和最小规范观测器设计中的应用

Optimal Control Applications and Methods Pub Date : 2024-05-07 DOI: 10.1002/oca.3134

Rui Qi, Caiqin Song

引用次数: 0

Optimal control results for second‐order semilinear integro‐differential systems via resolvent operators 通过解析算子实现二阶半线性整微分系统的最优控制结果

Optimal Control Applications and Methods Pub Date : 2024-05-07 DOI: 10.1002/oca.3138

Anugrah Pratap Singh, Udaya Pratap Singh, Anurag Shukla

引用次数: 0