International Journal of Robust and Nonlinear Control最新文献

{"title":"Global Event-Triggered Adaptive Control of Nonstrict-Feedback Non-Linear Systems With Unknown Functions and Time-Varying Delay Using Neural Networks","authors":"Cheng Tan,&nbsp;Xinrui Ma,&nbsp;Ziran Chen,&nbsp;Hongtao Sun","doi":"10.1002/rnc.7877","DOIUrl":"https://doi.org/10.1002/rnc.7877","url":null,"abstract":"<div>\u0000 \u0000 <p>This article aims to achieve global adaptive control of nonstrict-feedback non-linear systems with unknown functions and time-varying delay. Unlike traditional methods, this approach introduces switching functions at each step of the backstepping design, in addition to utilizing neural networks (NNs) to approximate the unknown functions, resulting in globally bounded outcomes. By employing appropriate Lyapunov-Krasovskii (L-K) functionals, the negative effects of time-varying delays are effectively compensated. The proposed control scheme integrates the design of both the controller and the event-triggering mechanism (ETM), effectively removing the need for input-to-state stability assumptions while reducing measurement errors. Furthermore, the ETM, based on an adaptive threshold strategy, not only ensures superior system performance but also optimizes network resource utilization. Finally, two simulation examples are provided to demonstrate the validity of the proposed control approach.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3728-3741"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Event-Triggered Asynchronous Finite-Time H∞ Filter Design for Linear Neutral Semi-Markovian Jumping Systems With Mixed Sensor Faults","authors":"Guifang Cheng,&nbsp;Huishi Shen","doi":"10.1002/rnc.7876","DOIUrl":"https://doi.org/10.1002/rnc.7876","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper studies the design of adaptive event-triggered asynchronous finite-time <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 for neutral semi-Markovian jumping systems (SMJSs) with mixed sensor faults. A novel adaptive event-triggered mechanism (AETM) is constructed to automatically tune trigger threshold, thus alleviating the communication burden. Subsequently, in light of the device's unsafe operating environment, a mixed sensor faults model is taken into account. Next, sufficient conditions are obtained to ensure the filtering error system (FES) meets stochastic <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> finite-time boundedness (FTB) and stochastic <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> finite-time contractive boundedness (FTCB). Lastly, an engineering-based example is shown to validate the efficacy of the proposed method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3700-3714"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Modified Adaptive Federated Student's t Maximum Correntropy Criterion Variational Adaptive Kalman Filtering for Multi-Source Data Fusion","authors":"Yunsheng Fan,&nbsp;Shuanghu Qiao,&nbsp;Baojian Song,&nbsp;Guofeng Wang","doi":"10.1002/rnc.7841","DOIUrl":"https://doi.org/10.1002/rnc.7841","url":null,"abstract":"<div>\u0000 \u0000 <p>The traditional federated Kalman filter-based multi-source data fusion algorithm performs poorly in the presence of outliers and unknown noise, a modified federated robust Student's t maximum correntropy criterion variational adaptive Kalman filter is proposed in this paper to tackle the issue. First, an improved robust Student's t maximum correntropy criterion variational adaptive Kalman filter is proposed for local estimation. The algorithm introduces an adaptive factor in the Student's t variational adaptive Kalman filter algorithm to correct the bias of the error covariance matrix, which improves the estimation accuracy of the algorithm. In addition, an improved kernel width based on the maximum correntropy criterion is employed for modifying the correntropy gain to adjust the filtering gain of the algorithm. Second, an improved adaptive information-sharing factor is developed to adaptively regulate the fusion weight of the local sensor based on the estimation accuracy of the local filter. Finally, the simulation verifies that the proposed algorithm has higher estimation accuracy than other existing algorithms.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3297-3307"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Enhancing Safety in Model-Based Reinforcement Learning With High-Order Control Barrier Functions","authors":"Tianyu Zhang,&nbsp;Jun Xu,&nbsp;Hongwei Zhang","doi":"10.1002/rnc.7888","DOIUrl":"https://doi.org/10.1002/rnc.7888","url":null,"abstract":"<div>\u0000 \u0000 <p>Due to the risk of taking unsafe actions in unknown environment dynamics, reinforcement learning (RL) algorithms with built-in safety guarantees to prevent unexpected accidents has received increasing attention. Introducing the control barrier function is a typical method for imposing safety constraints by constructing the forward invariant set, but this approach generally suffers from the conservativeness of the forward invariant set and difficulties in the training process. To overcome these challenges, this paper proposes a novel algorithm called model-based safe RL with high-order control barrier function (MBSRL-HOCBF). The concepts of generalized feasibility are introduced, including generalized feasible state and generalized feasible region, which can be applied to the modified HOCBF conditions during training, thus reducing the conservativeness of the forward invariant set of HOCBF while ensuring both safety and algorithm performance. Additionally, the safety indicator that explicitly identifies safe states without requiring knowing specific safety criteria is incorporated, and integrated into the common environment model. The integration combines the advantages of traditional model-based RL, including using model-generated data to speed up algorithm training, with the ability to identify the generalized feasibility of each state. Simulation results demonstrate that MBSRL-HOCBF not only achieves high returns but also guarantees safety across multiple control tasks.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3844-3855"},"PeriodicalIF":3.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Predefined-Time Hierarchical Scheme for Time-Varying Formation Tracking of Hybrid Networked Marine Systems","authors":"Gao-Fei Zhao,&nbsp;Tao Han,&nbsp;Chang-Duo Liang,&nbsp;Bo Xiao,&nbsp;Huaicheng Yan","doi":"10.1002/rnc.7895","DOIUrl":"https://doi.org/10.1002/rnc.7895","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper addresses the time-varying formation tracking (TVFT) problem for surface-underwater hybrid networked marine systems (HNMSs) amid parametric uncertainties, external disturbances, as well as unmodeled hydrodynamics. The system includes multiple autonomous surface vehicles (ASVs) and autonomous underwater vehicles (AUVs). To tackle this complex issue, a predefined-time hierarchical control (PTHC) scheme is developed. A predefined-time distributed estimator algorithm is designed for each follower to estimate the states of leaders using neighboring relative information. By applying an innovative predefined-time non-singular sliding mode surface governed by time-regulator functions, the system state is driven to the origin within a specified timeframe, ensuring zero-error predefined-time stability. This method guarantees that the settling time is independent of initial conditions and can be explicitly set as a control parameter. Based on Lyapunov stability theory, we derive sufficient conditions to ensure the predefined-time stability of the closed-loop system. Finally, simulations are provided to demonstrate the feasibility and effectiveness of the proposed algorithms.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 10","pages":"4172-4186"},"PeriodicalIF":3.2,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144207062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"H\u0000 \u0000 \u0000 2\u0000 \u0000 \u0000 /\u0000 \u0000 \u0000 H\u0000 \u0000 \u0000 ∞\u0000 \u0000 \u0000 \u0000 $$ {H}_2/{H}_{infty } $$\u0000 Control of AETSCP-Based IT-2 Fuzzy Networked Control Systems Under Stealthy Dos Attacks and Actuator Faults","authors":"Yunjiao Zhu,&nbsp;Xiaoming Tang,&nbsp;Jun Wang,&nbsp;Shidong Zhai,&nbsp;Jingjie Yuan,&nbsp;Minghong She","doi":"10.1002/rnc.7882","DOIUrl":"https://doi.org/10.1002/rnc.7882","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper examines the dynamic output feedback <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 <mo>/</mo>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_2/{H}_{infty } $$</annotation>\u0000 </semantics></math> control of interval type-2 (IT-2) fuzzy systems suffering from stealthy denial of service (DoS) attacks under the adaptive event-triggered stochastic communication protocol (AETSCP). Considering the advantages of the AET mechanism and the SCP, a new AETSCP is proposed, whose trigger parameters can be dynamically adjusted based on the changing trend of the system state and the stealthy DoS attack probability. The signal-to-interference plus noise ratio (SINR)-based DoS attacker continuously senses the channel and utilizes the trigger characteristics of the AET mechanism to cleverly launch the attack to ensure its stealthiness. A dynamic quantizer is employed to quantize the measured output, and a time-varying fault matrix is adopted to represent actuator faults. By applying the mode-dependent Lyapunov function, the sufficient condition to ensure the stability of the considered networked control system (NCS) is derived, and the dynamic output feedback controller satisfying the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 <mo>/</mo>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_2/{H}_{infty } $$</annotation>\u0000 </semantics></math> performance is designed. Lastly, a simulation example is used to verify the effectiveness of the proposed algorithm.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3791-3804"},"PeriodicalIF":3.2,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Observer-Based Robust Control of Cooperative Multiple Manipulators Using Differential Equation as Uncertainty Approximator","authors":"Saleh Mobayen,&nbsp;Alireza Izadbakhsh","doi":"10.1002/rnc.7899","DOIUrl":"https://doi.org/10.1002/rnc.7899","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper addresses the challenge of robustly controlling an object carried by a robotic system, specifically a team of cooperating arms. In industrial processes, multiple robotic manipulators are often employed for collaborative tasks, enhancing agility. However, increasing the number of arms elevates the system's complexity and non-linearity, introducing uncertainties and unmodeled dynamics. External factors like disturbances can also significantly impact system performance, and the absence of adequate instrumentation may lead to unavailable state measurements. The novelty of this paper is presenting a robust control strategy based on function approximation techniques and the Stone-Weierstrass theorem using differential equations as uncertainty approximators while employing a model-free velocity observer. It is assumed that the lumped uncertainty can be modeled by linear differential equations with unknown coefficients. Then, using the Stone-Weierstrass theorem, it is verified that these differential equations are universal approximators. Notably, the presented controller is model-free and doesn't necessitate a velocity signal for control implementation. It efficiently addresses object position/orientation control while the force applied on the load is limited. The uniformly ultimately boundness of the system errors is ensured based on Lyapunov's direct method. The controller/approximator is tested on a two-arm system carrying an object cooperatively, demonstrating its performance, which is then compared with a state-of-the-art approximation method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 10","pages":"4229-4242"},"PeriodicalIF":3.2,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Semi-Markovian Model Approach to Resilient Fault-Tolerant Control of Interval Type-2 Fuzzy Systems With Stochastic Actuator Failures and Its Applications","authors":"Xiaoqing Li,&nbsp;Kaibo Shi,&nbsp;Jun Cheng,&nbsp;Zhinan Peng,&nbsp;Liang Han","doi":"10.1002/rnc.7805","DOIUrl":"https://doi.org/10.1002/rnc.7805","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 &lt;p&gt;This article mainly presents a fresh systematic framework to tackle the resilient fault-tolerant sampled-data control (SDC) synthesis problem for networked interval type-2 fuzzy systems (IT-2FSs) suffering with semi-Markovian-type jump actuator failures (SMJAFs) and mismatched membership functions (MMFs), which portrays more features than some prior developments. The principally target of the addressed problem under this systematic investigation is to precisely architect a faulty mode-dependent sampled-data controller such that the resultant IT-2FSs are asymptotically stable with a prescribed &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;H&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;∞&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {H}_{infty } $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; attenuation level simultaneously. Firstly, in a departure from conventional control approaches, to better depict the stochastic actuator failures (SAFs) and cater to the engineering practice more accurately, a neoteric control input model that incorporated with semi-Markovian jump-type faulty coefficients with stochastically occurring bias terms is reconstructed for IT-2FSs in specifically. Secondly, the occurrence of controller gain fluctuations is randomly, which is regulated by a Bernoulli random binary distribution with a pre-known probability distribution. Thirdly, in comparison with majority of the existing SDC strategies, the intrinsic lag signal &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ϱ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ varrho $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; is intensionally introduced in the control loop, which exploited initially to handle the IT-2 fuzzy control synthesis issue. In doing so, a novelty looped-type semi-Markovian Lyapunov functional alleged dual-sided looped semi-Markovian Lyapunov functional that adequate acquisition the characteristic information of whole sampling intervals from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;x&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;t&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;k&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msub&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ xleft({t}_kright) $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;x&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;t&lt;/mi&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ x","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2399-2424"},"PeriodicalIF":3.2,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Novel Monitoring Function Based Boundary Force Controller Design for PDE Modeling Flexible Manipulator With Uncertain Control Directions","authors":"Xinyang Ma,&nbsp;Chenliang Wang,&nbsp;Jinkun Liu","doi":"10.1002/rnc.7887","DOIUrl":"https://doi.org/10.1002/rnc.7887","url":null,"abstract":"<div>\u0000 \u0000 <p>A contact force control and vibration suppression problem for a one-link flexible manipulator with uncertain control directions and input constraints is discussed in this paper. The flexible manipulator is described by a PDE (Partial Differential Equation) model. Nussbaum function is a widely used method to address the challenge of uncertain control directions. However, the Nussbaum function has notable drawbacks such as uncontrollable amplitude increase, frequent controller gain direction changes, and an indeterminate final gain value. To overcome these drawbacks, we propose a novel boundary controller design that integrates a monitoring function to evaluate the current gain direction and a switching scheme to determine if and when the gain direction should change. This allows us to achieve the force control and vibration suppression with uncertain control directions. Importantly, our proposed controller offers several advantages: (1) it enables simultaneous satisfaction of input constraints, (2) ensures a maximum of one change in controller gain direction before convergence to the correct direction, and (3) allows for the specification of a definitive final value for the controller gain. The effectiveness of the proposed controller is verified by numerical simulation.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3833-3843"},"PeriodicalIF":3.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Rigid Spacecraft Attitude Control Based on Finite-Time Non-Singular Sliding Mode and Extended State Disturbance Observer With Input Hysteresis","authors":"Junjun Liu,&nbsp;Yufu Cui,&nbsp;Haoping Wang,&nbsp;Yang Tian,&nbsp;Xingyu Zhou","doi":"10.1002/rnc.7896","DOIUrl":"https://doi.org/10.1002/rnc.7896","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates an adaptive finite-time non-singular terminal sliding mode control method (AFNTSMC) for a rigid spacecraft rapid attitude maneuver control. Meanwhile, the spacecraft suffer from adverse challenges such as input hysteresis, external disturbances, and system uncertainty. To estimate the lumped disadvantage disturbances, an extended state disturbance observer (ESDO) is applied, the ESDO can track the disturbance quickly and accurately. To mitigate the effects of residuals, an adaptive law is applied. Lyapunov theory is applied to confirm the stability of the attitude control system. To validate the efficacy of the proposed control law, comparison simulations are conducted. According to this spacecraft attitude maneuvering system, the results show that the designed AFNTSMC can drive the attitude to the target position rapidly. It can save more than 5 s, the steady-state error is reduced by more than <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>43</mn>\u0000 <mo>%</mo>\u0000 </mrow>\u0000 <annotation>$$ 43% $$</annotation>\u0000 </semantics></math> in steady stage.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 10","pages":"4187-4200"},"PeriodicalIF":3.2,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144207023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}