Asian Journal of Control最新文献

{"title":"Event-triggered iterative learning formation control for a class of nonlinear multi-agent systems under deception attack","authors":"Xuhui Bu,&nbsp;Wenjing Ma,&nbsp;Yanling Yin","doi":"10.1002/asjc.3675","DOIUrl":"https://doi.org/10.1002/asjc.3675","url":null,"abstract":"<p>This article investigates the event-triggered iterative learning formation control problem for a class of nonlinear multi-agent systems under deception attack. Firstly, the deception attack existing in the transmission channel is modeled as a Bernoulli distribution with mathematical expectation, based on which the distributed formation tracking error is defined. Secondly, an event-triggered iterative learning mechanism along the iteration axis is constructed to save communication resources. Then, utilizing the contraction mapping method and norm theory, the rigorous convergence analysis and proof are developed to confirm that the tracking error is bounded. Finally, numerical simulation is used to confirm the effectiveness of the proposed algorithm.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"659-671"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simplified adaptive backstepping excitation controller design for power systems","authors":"Adirak Kanchanaharuthai","doi":"10.1002/asjc.3669","DOIUrl":"https://doi.org/10.1002/asjc.3669","url":null,"abstract":"<p>This study introduces a simplified adaptive backstepping excitation control aimed at improving the transient stability of electric power systems. The controller addresses the challenges of simplifying adaptive backstepping control for multi-machine systems. Unlike traditional backstepping, dynamic surface, and command-filtered backstepping controllers, ours eliminates the need for virtual stabilizing functions, their derivatives, and any filters, thus significantly reducing computational burden. Additionally, a one-order compensation subsystem is employed to mitigate the impact of nonlinear uncertainties using an adaptive control scheme and the congelation of variables technique. Through this approach, the proposed controller involves only one actual control law and one adaptive law, allowing for direct use. The performance of the closed-loop system is analyzed based on the Lyapunov stability theorem. The effectiveness of the proposed method is evaluated using an IEEE 9-bus multi-machine power system (WSCC power system) consisting of nine buses and three machines. Simulation results demonstrate the efficacy of the developed controller and its superior performance compared to traditional backstepping, dynamic surface, and command-filtered backstepping control designs.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"556-572"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent vehicle path planning and obstacle avoidance control based on path following and stability coordination","authors":"Sheng Zhou,&nbsp;Fei Liu,&nbsp;Xiaofeng Weng,&nbsp;Jiacheng Mai,&nbsp;Shaoxiang Feng","doi":"10.1002/asjc.3686","DOIUrl":"https://doi.org/10.1002/asjc.3686","url":null,"abstract":"<p>Addressing the conflict between path tracking and vehicle stability for autonomous driving vehicles, a new planning and control strategy has been proposed, which takes into account both vehicle dynamic stability and path tracking performance. At the local planning level, a model predictive control (MPC)-based method for local path planning is adopted. Adaptive preview logic is utilized to dynamically adjust the prediction horizon size based on vehicle speed, preview trajectory point curvature, and side slip angle, in order to balance the path tracking performance and vehicle dynamic stability. To optimize the adaptive preview logic parameters, a particle swarm optimization (PSO) algorithm is employed for offline parameter optimization. Further, a two-layer MPC path planning and tracking system was designed to verify this approach. Simulation experiments demonstrate that in complex scenarios such as lane changing and obstacle avoidance, the proposed strategy can effectively balance vehicle dynamic performance and path tracking accuracy.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"724-736"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147649463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Event-triggered quantized filtering of discrete descriptor hybrid systems with incomplete information","authors":"Yingqi Zhang,&nbsp;Tong Wu,&nbsp;Caixia Liu,&nbsp;Jingjing Yan","doi":"10.1002/asjc.3672","DOIUrl":"https://doi.org/10.1002/asjc.3672","url":null,"abstract":"<p>This paper concentrates on the event-triggered (ET) quantized \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> filter analysis and design of discrete-time descriptor hybrid network systems with incomplete information. The main contributions of this paper are that quantized parameters and ET filter ones are decoupled, and further, ET \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> filter and ET gain matrices are co-designed based on filter transfer function equivalent and convex function schemes. Utilizing ET communication and quantized techniques, a singular hybrid model with network-induced delays is initially derived. According to ET strategy and stochastic Lyapunov function approach, sufficient criteria are then established such that the resulting augmented stochastic model is stochastically admissible with an \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> index. Besides, the derived conditions could be solved in terms of convex optimization method. Ultimately, effectiveness of the proposed approach combined quantization strategy with ET mechanism is verified by two practical examples.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"618-630"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite-time boundedness and L2-gain analysis for switched nonlinear systems via periodically intermittent control","authors":"Ziqin Zhou,&nbsp;Jingxin Huang,&nbsp;Xiangze Lin,&nbsp;Xueling Li","doi":"10.1002/asjc.3687","DOIUrl":"https://doi.org/10.1002/asjc.3687","url":null,"abstract":"<p>This note focuses on finite-time boundedness and finite-time weighted \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>L</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {L}_2 $$</annotation>\u0000 </semantics></math>-gain problems of switched nonlinear systems by virtue of periodically intermittent control. In the framework of periodically intermittent control, sufficient conditions are established to guarantee the resultant closed-loop switched nonlinear systems are both finite-time bounded and exhibit a finite-time weighted \u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>L</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {L}_2 $$</annotation>\u0000 </semantics></math>-gain. The proof procedures are implemented successfully resorting to piecewise Lyapunov functions. These conditions are cast into a convex optimization problem and thus can be handled effectively through linear matrix inequality. Finally, numerical simulations are employed to verify the efficiency of the proposed methods.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"750-759"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal event-triggered trajectory tracking control for under-actuated autonomous underwater vehicles with adaptive dynamic programming","authors":"Xiumei Han,&nbsp;Xiaolu Xu,&nbsp;Xiaofeng Yan,&nbsp;Qiannan Zhang","doi":"10.1002/asjc.3671","DOIUrl":"https://doi.org/10.1002/asjc.3671","url":null,"abstract":"<p>In this study, the optimal event-triggered trajectory tracking control problem for under-actuated autonomous underwater vehicles (AUVs) is investigated. First, a virtual velocity control law is designed for the position and attitude tracking error system using the backstepping approach. Next, the velocity tracking error is derived. By integrating the position, attitude, and velocity-tracking errors, a comprehensive tracking error system is constructed, and a corresponding cost function for the system is defined. Then, the optimal event-triggered control law is designed using event-triggered adaptive dynamic programming, employing only a single critic network. The approximation error of the critic network and the stability of the tracking error system are analyzed using Lyapunov theory. Finally, simulation results demonstrate the effectiveness of the proposed optimal event-triggered control law.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"648-658"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Second-order PDα-type iterative learning control for fractional-order linear time-delay switched systems with noise","authors":"DR Sahu,&nbsp;Nitish Kumar Singh","doi":"10.1002/asjc.3674","DOIUrl":"https://doi.org/10.1002/asjc.3674","url":null,"abstract":"<p>The purpose of the paper is to introduce a novel second-order PD\u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mi>α</mi>\u0000 </mrow>\u0000 </msup>\u0000 </mrow>\u0000 <annotation>$$ {}&amp;amp;amp;#x0005E;{alpha } $$</annotation>\u0000 </semantics></math>-type fractional-order iterative learning control algorithm for a broad class of fractional-order linear continuous-time switched systems with time delay. The convergence of the proposed second-order PD\u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mi>α</mi>\u0000 </mrow>\u0000 </msup>\u0000 </mrow>\u0000 <annotation>$$ {}&amp;amp;amp;#x0005E;{alpha } $$</annotation>\u0000 </semantics></math>-type fractional-order iterative learning control algorithm is analyzed in the absence of external noise. The robustness of the system is examined under bounded measurement noise. The proposed second-order PD\u0000<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mi>α</mi>\u0000 </mrow>\u0000 </msup>\u0000 </mrow>\u0000 <annotation>$$ {}&amp;amp;amp;#x0005E;{alpha } $$</annotation>\u0000 </semantics></math>-type fractional-order iterative learning control algorithm outperforms the first-order counterpart studied by Zhang and Peng (2020) and classic PD-type ILC. Simulation results demonstrate the effectiveness and feasibility of the proposed algorithm.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"603-617"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A S-shaped feedrate based NURBS interpolator for synchronization of robot tool tip trajectory and attitude","authors":"Guanghui Liu,&nbsp;Fuyuan Tan,&nbsp;Ming Zhang,&nbsp;Qiang Li,&nbsp;Lijin Fang","doi":"10.1002/asjc.3685","DOIUrl":"https://doi.org/10.1002/asjc.3685","url":null,"abstract":"<p>Parametric interpolation is a popular choice for robot control, of the available methods, NURBS interpolation based on S-shaped feed rate scheduling is an effective way to achieve smooth, continuous robot motion, making it a subject of significant research interest. However, there are three challenges associated with this approach. One issue that has been identified is that when a NURBS curve is split into multiple blocks, the resulting feed rate curve may become discontinuous if one or more blocks are too short. A further issue is that the NURBS curve cannot be fully executed due to errors in the calculation process. The final challenge is to ensure synchronous interpolation between the robot tip and the attitude. This paper proposes a high-precision NURBS interpolator based on S-shaped feedrate scheduling. The proposed design effectively addresses the issue of connection velocity between blocks. Furthermore, an optimization algorithm is proposed to ensure NURBS precision, to compensate for truncation error. In conclusion, a framework for synchronous interpolating the robot tooltip and attitude based on dual NURBS is proposed. The results of experiments demonstrate that our method effectively addresses the issue of NURBS curve blocks being too short. We observed a notable improvement in the curve execution rate, from 0.998752 to 0.999993.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"710-723"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive cruise control strategy based on switched LPV","authors":"Weilin Wu,&nbsp;Wei Liu,&nbsp;Hongben Huang","doi":"10.1002/asjc.3684","DOIUrl":"https://doi.org/10.1002/asjc.3684","url":null,"abstract":"<p>In dynamic traffic environments, the uncertainty in the motion state of the preceding vehicle leads to complex parameter variations, posing significant challenges for traditional adaptive cruise control methods. To address these challenges, this paper proposes an adaptive cruise control strategy based on a switched linear parameter-varying (LPV) framework. Focusing on the longitudinal dynamics of following vehicles in a single lane, a switched LPV model is developed to dynamically adjust the inter-vehicle time gap based on the relative speed. Leveraging linear matrix inequality (LMI) techniques, a switching controller with H_∞ performance is designed to ensure system stability and robustness. Furthermore, parameter-dependent hysteresis switching logic is introduced to reduce the switching frequency and mitigate system chattering. Simulation experiments are conducted to validate the effectiveness and performance of the proposed method.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"685-695"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-chattering consensus of second-order multi-agent system based on implicit discrete-sliding mode control","authors":"Hongyi Liu,&nbsp;Junjie Fu","doi":"10.1002/asjc.3676","DOIUrl":"https://doi.org/10.1002/asjc.3676","url":null,"abstract":"<p>This paper addresses the distributed leader-following consensus control problem for discrete-time second-order multi-agent systems. A novel implicit discrete-sliding mode controller is introduced, offering the key advantage of mitigating the chattering phenomenon typically associated with the traditional explicit discrete-time sliding mode control method. It is shown that with proper controller parameters, the sliding surface can be reached in finite steps. Then the consensus errors will converge to zero exponentially. A mixed linear complementarity problem (MLCP) is established to solve for the implicit discrete-sliding mode control input. Details about the implementation are presented, such as the information that is needed to obtain the solution of the MLCP. Finally, numerical examples are given to demonstrate the theoretical results.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"28 2","pages":"672-684"},"PeriodicalIF":2.7,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147653318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}