{"title":"Asymmetric bipartite consensus for multi-agent systems with strong-privacy-preserving","authors":"Fan Fang, Hongyong Yang, Fei Liu","doi":"10.1049/cth2.12686","DOIUrl":"10.1049/cth2.12686","url":null,"abstract":"<p>In multi-agent systems (MASs), not only do agents engage in cooperative relationships, but they also compete with one another. The topic of collaborative group in MASs has garnered significant attention. Due to the possibility of explicit interaction among agents, the complete sharing of known information among nodes presents a risk of privacy leakage. Therefore, this article explores the problem of asymmetric bipartite consensus control for MASs with strong-privacy-preserving. A novel state decomposition privacy-preserving algorithm is proposed to achieve asymmetric bipartite consensus of MASs. This algorithm can ensure that the initial and final states of each agent will not be compromised, via a preservation coefficient designed in proposed algorithm. By employing algebraic graph theory and automatic control theory, a thorough analysis of the algorithmic performance is conducted. It is demonstrated that our algorithm can preserve the privacy of all agents in MASs while achieving asymmetric bipartite consensus, i.e. the consensus values are different in sign and modulus. Finally, the effectiveness of the main results is validated through simulation examples.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 12","pages":"1569-1585"},"PeriodicalIF":2.2,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12686","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372935","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}
Yizhen Li, Zhipei Hu, Feiqi Deng, Yongkang Su, Guangjie Li
{"title":"A general matrix decomposition approach with application to stabilization of networked systems with stochastic sampling and two-channel deception attacks","authors":"Yizhen Li, Zhipei Hu, Feiqi Deng, Yongkang Su, Guangjie Li","doi":"10.1049/cth2.12676","DOIUrl":"10.1049/cth2.12676","url":null,"abstract":"<p>This study is concerned with the stabilization analysis and controller design for networked systems with stochastic sampling and two-channel deception attacks. First, we give a general matrix decomposition approach which is applicable to scenarios where the system matrix <span></span><math>\u0000 <semantics>\u0000 <mi>A</mi>\u0000 <annotation>$A$</annotation>\u0000 </semantics></math> contains complex-value eigenvalues. Then, a discrete stochastic framework is established for a class of networked systems which considers the joint effects of sampling errors and two-channel deception attacks. Utilizing the matrix decomposition approach introduced in this study, it becomes feasible to decouple the expectation operations for specific coupling matrices characterized by substantial nonlinearity and randomness. Based on this, a stabilization controller is constructed that ensures the exponential mean-square stability of the resulting discrete stochastic system. Finally, three simulation examples are provided to validate the effectiveness of the proposed approach.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 11","pages":"1435-1444"},"PeriodicalIF":2.2,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12676","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141385573","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}
{"title":"Data-driven adaptive control design for active stabilization of stratospheric airship imaging platform: A characteristic model approach","authors":"Yanlin Chen, Shaoping Shen, Junjie Guan, Zikun Hu","doi":"10.1049/cth2.12682","DOIUrl":"10.1049/cth2.12682","url":null,"abstract":"<p>In response to the problem of disturbance in the imaging equipment of stratospheric airships, this study designs a vibration isolation and stability system for carrying imaging equipment. The system mainly consists of microprocessor, gimbal, voice coil motor (VCM) and rubber ring. By using adaptive control law based on characteristic model to control the double closed control loop of the motor composed of position loop and speed loop, the camera deflection caused by disturbance is effectively eliminated. Furthermore, in vertical vibration suppression, the adaptive control law based on the characteristic model is also applied to the double closed control loop of the voice coil motor, which removes most of the vertical vibration and realizes active vibration isolation. The passive isolation of the system is completed by rubber rings. The experimental results show that the vibration isolation and stabilization system have good performance in complex disturbance environments, effectively stabilizing the imaging equipment.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 12","pages":"1491-1504"},"PeriodicalIF":2.2,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12682","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272807","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}
{"title":"Group-weighted oscillatory containment for multiple robots under heterogeneous cooperation and competition","authors":"L. Y. Zhao, Y. Ren, W. Li, P. Liang","doi":"10.1049/cth2.12674","DOIUrl":"https://doi.org/10.1049/cth2.12674","url":null,"abstract":"<p>The group-weighted containment (GWC) problem is studied for swarms of robots, where the information flow among agents is heterogeneous (weighted) cooperative-competitive and the whole networked systems are composed of multiple different groups. Each group is formed by multiple harmonic oscillator leaders and multiple robot followers governed by Euler-Lagrange (EL) equations. After introducing the definition of group-weighted containment to the networked robot systems, the control algorithms for the agents containing followers and leaders are formulated over newly weighted cooperative-competitive network. Some necessary conditions for solving the weighted containment control problem are established. It is shown that the followers in every group can achieve a kind of novel coordinated behaviors. Specifically, the followers can converge to the dynamic convex hull spanned by the corresponding leaders' weighted coordinates under some conditions. Simulation results are provided to illustrate the effectiveness of the proposed control schemes.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 12","pages":"1529-1539"},"PeriodicalIF":2.2,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12674","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968324","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}
Hui Bi, Weitian He, Xiaowei Wang, Tao Zou, Zhijia Zhao
{"title":"Adaptive fault-tolerant control of a nonlinear 2-DOF helicopter system with prescribed performance","authors":"Hui Bi, Weitian He, Xiaowei Wang, Tao Zou, Zhijia Zhao","doi":"10.1049/cth2.12679","DOIUrl":"https://doi.org/10.1049/cth2.12679","url":null,"abstract":"<p>This study investigates a novel tracking control with prescribed performance for an uncertain nonlinear 2-DOF helicopter subject to actuator failure. The control design aims to address partial actuator faults, and to mitigate their effects, an adaptive auxiliary variable is introduced. Additionally, a neural network is employed to accurately approximate the system uncertainties. The prescribed performance is formulated as time-varying constraints, and the barrier Lyapunov function (BLF) technique is applied to achieve the constrained control. Finally, the stability analysis of the closed-loop system is provided, and the validity of the proposed control scheme is illustrated through a simulation study on the 2-DOF helicopter system.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 15","pages":"1936-1947"},"PeriodicalIF":2.2,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12679","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435840","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}
Bo Lu, Le Ru, Maolong Lv, Shiguang Hu, Hongguo Zhang, Zilong Zhao
{"title":"Enhanced LSTM-DQN algorithm for a two-player zero-sum game in three-dimensional space","authors":"Bo Lu, Le Ru, Maolong Lv, Shiguang Hu, Hongguo Zhang, Zilong Zhao","doi":"10.1049/cth2.12677","DOIUrl":"10.1049/cth2.12677","url":null,"abstract":"<p>To tackle the challenges presented by the two-player zero sum game (TZSG) in three-dimensional space, this study introduces an enhanced deep Q-learning (DQN) algorithm that utilizes long short term memory (LSTM) network. The primary objective of this algorithm is to enhance the temporal correlation of the TZSG in three-dimensional space. Additionally, it incorporates the hindsight experience replay (HER) mechanism to improve the learning efficiency of the network and mitigate the issue of the “sparse reward” that arises from prolonged training of intelligence in solving the TZSG in the three-dimensional. Furthermore, this method enhances the convergence and stability of the overall solution.An intelligent training environment centred around an airborne agent and its mutual pursuit interaction scenario was designed to proposed approach's effectiveness. The algorithm training and comparison results show that the LSTM-DQN-HER algorithm outperforms similar algorithm in solving the TZSG in three-dimensional space. In conclusion, this paper presents an improved DQN algorithm based on LSTM and incorporates the HER mechanism to address the challenges posed by the TZSG in three-dimensional space. The proposed algorithm enhances the solution's temporal correlation, learning efficiency, convergence, and stability. The simulation results confirm its superior performance in solving the TZSG in three-dimensional space.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2798-2812"},"PeriodicalIF":2.2,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12677","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140978382","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}
{"title":"Robust optimal tracking control of multiple autonomous underwater vehicles subject to uncertain disturbances","authors":"Guan Huang, Zhuo Zhang, Weisheng Yan, Rongxin Cui, Shouxu Zhang, Xinxin Guo","doi":"10.1049/cth2.12671","DOIUrl":"10.1049/cth2.12671","url":null,"abstract":"<p>This paper considers the problem of robust optimal tracking control of multiple autonomous underwater Vehicles (AUVs) subject to uncertain external disturbances. First, the Takagi-Sugeno (T-S) fuzzy based technique is utilized to convert the high-order nonlinear multi-AUV system into a series of linearized subsystems. Second, a novel fully distributed sliding mode control (FDSMC) strategy is proposed to attenuate the disturbances. Meanwhile, the leader-following consensus and the nearly optimization of the energy-cost function for the multi-AUV system can be achieved simultaneously through the designed optimal nominal control protocol. Moreover, the proposed control strategy has more mild constraints on the communication topologies. Finally, the effectiveness of the proposed FDSMC strategy is verified by numerical simulation studies.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 18","pages":"2786-2797"},"PeriodicalIF":2.2,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12671","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140990657","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}
{"title":"Output feedback stabilization of stochastic high-order nonlinear time-delay systems with unknown output function","authors":"Wei Dong, Mengmeng Jiang","doi":"10.1049/cth2.12678","DOIUrl":"10.1049/cth2.12678","url":null,"abstract":"<p>This article considers the problem of output feedback stabilization for a class of stochastic high-order nonlinear time-delay systems with unknown output function. For stochastic high-order nonlinear time-delay systems, based on the Lyapunov stability theorem, by combining the addition of one power integrator and homogeneous domination method, the maximal open sector <span></span><math>\u0000 <semantics>\u0000 <mi>Δ</mi>\u0000 <annotation>$Delta$</annotation>\u0000 </semantics></math> of output function is given. As long as output function belongs to any closed sector included in <span></span><math>\u0000 <semantics>\u0000 <mi>Δ</mi>\u0000 <annotation>$Delta$</annotation>\u0000 </semantics></math>, an output feedback controller can be developed to guarantee the closed-loop system globally asymptotically stable in probability.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 15","pages":"1922-1935"},"PeriodicalIF":2.2,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12678","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141003952","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}
{"title":"Distributed auto disturbances rejection resilient control of permanent magnetic maglev trains based on the optimized deep deterministic policy gradient algorithm","authors":"Zhen-yu Guo, Zhong-qi Li","doi":"10.1049/cth2.12673","DOIUrl":"10.1049/cth2.12673","url":null,"abstract":"<p>Due to time-varying external disturbances and uncertain system models, distributed cooperative controllers with poor adaptability are unable to meet the cooperative control requirements of multiple permanent magnetic maglev trains in virtual coupling mode. In this work, a new effective distributed auto disturbance rejection resilient controller based on the optimized deep deterministic policy gradient algorithm (DDPG) is proposed. The DDPG algorithm is used to improve the adaptability of the controller against the time-varying disturbances. An adaptive particle swarm optimization method (APSO) is also proposed to optimize the hyperparameters of DDPG in the search space. The simulation results show that, compared to the particle swarm optimization (PSO)-actor-critic (AC), PSO-policy gradient (PG), and PSO-DDPG algorithms, the proposed APSO-DDPG algorithm performs better during training and verification. The proposed method achieves adaptive online adjustment of the controller parameters effectively and greatly improves the stability of cooperative control.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 11","pages":"1383-1397"},"PeriodicalIF":2.2,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12673","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141008468","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}
Baopeng Zhu, Wei Xiong, Shihua Li, Lei Guo, Xisong Chen
{"title":"Fuzzy functional observer-based sliding mode control for T-S fuzzy cyber-physical systems subject to disturbances and deception attacks","authors":"Baopeng Zhu, Wei Xiong, Shihua Li, Lei Guo, Xisong Chen","doi":"10.1049/cth2.12675","DOIUrl":"https://doi.org/10.1049/cth2.12675","url":null,"abstract":"<p>This paper is concerned with the fuzzy functional observer-based sliding mode control for T-S fuzzy cyber-physical systems subject to disturbances and deception attacks. First, the deception attack is modeled by an exogenous system with state dependent nonlinearity. Second, a fuzzy learning functional observer with fuzzy logic systems learning unknown nonlinear function, whose parameters can be directly found, is designed to estimate the partly unavailable states, deception attacks and lumped disturbances simultaneously. Then, a fuzzy sliding mode control is designed to compensate the effect of deception attack and reject the disturbances. Furthermore, some sufficient conditions are given to guarantee that the closed-loop fuzzy system is exponential convergent. Finally, a numerical example is given to illustrate the validity of the proposed method.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"18 16","pages":"2062-2074"},"PeriodicalIF":2.2,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12675","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579721","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}