IET Control Theory and Applications最新文献_第7页

Improved input-to-state stability criteria for time-varying switched singular systems 改进时变开关奇异系统的输入到状态稳定性准则

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-11 DOI: 10.1049/cth2.12669

Junjie Lu, Yongqi Li, Shijie Wang, Zhikun She

引用次数: 0

A model-based failure times identification for a system governed by a 2D parabolic partial differential equation 基于模型的二维抛物线偏微分方程系统失效时间识别

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-11 DOI: 10.1049/cth2.12652

Mohamed Salim Bidou, Laetitia Perez, Sylvain Verron, Laurent Autrique

引用次数: 0

Minimal operation region prediction for networked control robotic manipulators subject to time-varying delays and disturbances 受时变延迟和干扰影响的网络控制机器人机械手的最小运行区域预测

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-09 DOI: 10.1049/cth2.12650

Van Thanh Huynh, Chee Peng Lim, Zoran Najdovski, Dinh Cong Huong, Hieu Trinh

{"title":"Minimal operation region prediction for networked control robotic manipulators subject to time-varying delays and disturbances","authors":"Van Thanh Huynh, Chee Peng Lim, Zoran Najdovski, Dinh Cong Huong, Hieu Trinh","doi":"10.1049/cth2.12650","DOIUrl":"10.1049/cth2.12650","url":null,"abstract":"Due to the disturbances and varying latency, a teleoperated robotic manipulator might not comply with the master control commands. Although prior studies on minimising the impact of network latency and disturbances on teleoperated robots were conducted, there has been very little research on the prediction of minimal operation regions of robotic arms, especially in the worst-case scenarios when the disturbances and time delays still prevail even after impact minimisation. This study investigates the problem and proposes a novel solution to predicting minimal operation regions of networked control robotic manipulators. The proposed method can be used to forecast safe operation regions in which the manipulators will certainly enter and exclude regions that the robots will never penetrate. Leveraging on a Lyanonov Krasovskii criterion, the method performs region prediction by establishing minimal reachable bounding sets of the nonlinear, perturbed robotic arm's state vectors guided via a time-varying delay-dominant network. Though predominantly nonlinear, the entire prediction process is formulated as a tractable Linear Matrix Inequality (LMI) optimisation problem, which can be solved efficiently and effectively. Efficacy of the proposed method is validated with simulations where a simulated robotic arm is distorted with time-varying delays and disturbances.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12650","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140721539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple adaptive factors based interacting multiple model estimator 基于交互式多重模型估算器的多重自适应因子

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-09 DOI: 10.1049/cth2.12645

Minxing Sun, Qianwen Duan, Wanrun Xia, Qiliang Bao, Yao Mao

{"title":"Multiple adaptive factors based interacting multiple model estimator","authors":"Minxing Sun, Qianwen Duan, Wanrun Xia, Qiliang Bao, Yao Mao","doi":"10.1049/cth2.12645","DOIUrl":"10.1049/cth2.12645","url":null,"abstract":"In the field of optoelectronic tracking, precisely modeling the motion equations of the tracked target is often challenging, and in some cases, they may even be entirely unknown. This necessitates the use of a robust state estimator for accurate state estimation. Additionally, atmospheric turbulence, variations in illumination, and intricate observation backgrounds may introduce a significant increase in observation noise for the tracked target. To address these challenges, one approach is to introduce adaptive factors, such as the Mahalanobis method, into the robust state estimator to enhance estimation accuracy. However, further exploration has revealed that adaptive factors designed using different methods offer unique advantages in scenarios with varying levels of noise amplification. In this paper, different adaptive factors are further combined using an interacting multiple model approach, allowing the designed state estimator to exhibit stronger adaptability to noise amplification. The stability and effectiveness of this algorithm are validated through program simulations, double reflection mirror experiment, and drone trace prediction, demonstrating its applicability and reliability in diverse scenarios.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12645","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140727645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intention inference-based interacting multiple model estimator in photoelectric tracking 光电跟踪中基于意向推理的交互式多模型估计器

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-09 DOI: 10.1049/cth2.12657

Minxing Sun, Huabo Liu, Qianwen Duan, Junzhe Wang, Yao Mao, Qiliang Bao

{"title":"Intention inference-based interacting multiple model estimator in photoelectric tracking","authors":"Minxing Sun, Huabo Liu, Qianwen Duan, Junzhe Wang, Yao Mao, Qiliang Bao","doi":"10.1049/cth2.12657","DOIUrl":"10.1049/cth2.12657","url":null,"abstract":"Aiming to improve the estimation and prediction accuracy of a target's position, this paper proposes a state estimation method for photoelectric tracking systems, based on the evaluation of the tracked target's motion intention. Traditional photoelectric tracking systems utilize external physical quantities such as the position, velocity, and acceleration of the target as the estimated states. While this method can output good results for pre-modelled target positions, it struggles to maintain the accuracy when facing manoeuvering targets or complex motion patterns targets. Here, the relevant parameters of the tracked target's motion intention are directly estimated innovatively, like estimating the circling point position rather than the circular flying target's position and velocity. This approach enables recognizing the target's motion intention and leads to precise estimation, which specifically consists of an interacting multiple model approach, multiple unscented Kalman estimators, and a robust estimator. The effectiveness and stability of this estimator are validated through software simulations and experiments on a dual-reflection mirror platform.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140720723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and optimization of networked evolutionary game based on incomplete information with switched topologies 基于交换拓扑结构的不完全信息的网络演化博弈建模与优化

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-09 DOI: 10.1049/cth2.12643

Yalin Gui, Lixin Gao, Zhitao Li

{"title":"Modeling and optimization of networked evolutionary game based on incomplete information with switched topologies","authors":"Yalin Gui, Lixin Gao, Zhitao Li","doi":"10.1049/cth2.12643","DOIUrl":"10.1049/cth2.12643","url":null,"abstract":"In the realm of evolutionary game theory, the majority of scenarios involve players with incomplete knowledge, specially regarding their opponents' actions and payoffs compounded by the ever-shifting landscape of players' interactions. These dynamics present formidable challenges in both the analysis and optimization of game evolution. To address this, a novel model named the networked evolutionary game (NEG) is proposed based on incomplete information with switched topologies. This model captures situations where players possess limited insight into their opponents' benefits, yet make decisions based on their own payoffs while adapting to different networks and new players. To bridge the gap between incomplete and complete information games, R. Selten's transformation method is leveraged, a renowned approach that converts an incomplete information game into an interim agent game, thereby establishing the equivalence of pure Nash equilibria (NE) in both scenarios. Employing the semi-tensor product (STP) of matrices, a powerful tool in logistic system, the evolution of the model is articulated through algebraic relationships. This enables to unravel the patterns of game evolution and identify the corresponding pure Nash equilibria. By introducing control players, strategically positioned within the game, optimized control is facilitated over the evolutionary trajectory, ultimately leading to convergence towards an optimal outcome. Finally, these concepts are illustrated with a practical example within the paper.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12643","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140726275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Practical fixed-time composite-learning control for full-state constraint strict-feedback non-linear systems: A dynamic regressor extension and mixing based approach 全状态约束严格反馈非线性系统的实用固定时间复合学习控制：基于动态回归器扩展和混合的方法

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-09 DOI: 10.1049/cth2.12662

Man Cui, Zhonghua Wu

{"title":"Practical fixed-time composite-learning control for full-state constraint strict-feedback non-linear systems: A dynamic regressor extension and mixing based approach","authors":"Man Cui, Zhonghua Wu","doi":"10.1049/cth2.12662","DOIUrl":"10.1049/cth2.12662","url":null,"abstract":"A practical fixed-time composite learning control scheme, by combining dynamic regressor extension and mixing (DREM) parameter identification algorithm and adaptive dynamic surface control (DSC) technique, is proposed for a class of strict-feedback non-linear systems subjected to linear-in-parameters uncertainties and full-state constraint. To address the problem of state constraint, a non-linear transformation function is introduced to convert the originally constrained non-linear system into an unconstrained one. Meanwhile, the hyperbolic tangent function is employed to avoid singularity issues that often appeared in the traditional fixed-time (FXT) control designs. In order to relax the requirement of persistency of excitation condition, a modified FXT-DREM parameter identification approach with an interval excitation condition is constructed by introducing a three-layer transformation technique derived from the classical DREM algorithm. Then, the modified FXT-DREM parameter identification algorithm is seamlessly integrated into the adaptive DSC framework, resulting in a composite-learning control scheme. By employing Lyapunov stability analysis, the fixed-time convergence of both the parameter estimation error and the trajectory tracking error is proved. Finally, the effectiveness of the proposed design is demonstrated through simulation test.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12662","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140723789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tracking control of chained non-holonomic systems with asymmetric function constraints and external disturbance 具有非对称功能约束和外部干扰的链式非自主系统的跟踪控制

IF 2.2 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-08 DOI: 10.1049/cth2.12659

Jing Yang, Yuqiang Wu

引用次数: 0

Zero/low overshoot conditions based on maximally-flatness for PID-type controller design for uncertain systems with time-delay or zeros 基于最大平坦度的零/低过冲条件，为具有时间延迟或零的不确定系统设计 PID 型控制器

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-08 DOI: 10.1049/cth2.12646

Mehmet Canevi, Mehmet Turan Söylemez

{"title":"Zero/low overshoot conditions based on maximally-flatness for PID-type controller design for uncertain systems with time-delay or zeros","authors":"Mehmet Canevi, Mehmet Turan Söylemez","doi":"10.1049/cth2.12646","DOIUrl":"10.1049/cth2.12646","url":null,"abstract":"This paper extends the characteristic ratio approach using novel inequalities to ensure zero/low overshoot for linear-time-invariant systems with zeros. The extension provided by this paper is based on the maximally-flatness property of a transfer function, where the square-magnitude of the transfer function is ensured to be a low-pass filter. In order to be able to design low-order/fixed structure controllers, a partial pole-assignment approach is used instead of the full pole-assignment used in the Characteristic Ratio Assignment (CRA) method. The developed inequalities and additional stability conditions are combined into an optimization problem using time domain restrictions when necessary. Although the method given in the paper is general, particular inequalities are developed for PI and PI-PD controller cases, due to their frequent use in industrial applications. Similarly, First-Order-Plus-Delay-Time (FOPDT) and Second-Order-Plus-Delay-Time (SOPDT) systems are considered specifically, since most of the practical systems can be approximated by one of these types. The study is extended to plants with uncertainties where a theorem is developed to decrease computation time dramatically. The benefits of the proposed methods are demonstrated by several examples.","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12646","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140731085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Finite-time stabilization control of nonlinear systems with full-state constraints 具有全状态约束的非线性系统的有限时间稳定控制

IF 2.6 4区计算机科学

IET Control Theory and Applications Pub Date : 2024-04-06 DOI: 10.1049/cth2.12655

Jianwen Liu, Xiao Yan, Lin Zhang, Fujin Jia, Ni Yang

引用次数: 0