International Journal of Robust and Nonlinear Control最新文献

{"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, Kaibo Shi, Jun Cheng, Zhinan Peng, Liang Han","doi":"10.1002/rnc.7805","DOIUrl":"https://doi.org/10.1002/rnc.7805","url":null,"abstract":"<div>\u0000 \u0000 <p>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 <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> 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 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>ϱ</mi>\u0000 </mrow>\u0000 <annotation>$$ varrho $$</annotation>\u0000 </semantics></math> 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 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>x</mi>\u0000 <mo>(</mo>\u0000 <msub>\u0000 <mrow>\u0000 <mi>t</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>k</mi>\u0000 </mrow>\u0000 </msub>\u0000 <mo>)</mo>\u0000 </mrow>\u0000 <annotation>$$ xleft({t}_kright) $$</annotation>\u0000 </semantics></math> to <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>x</mi>\u0000 <mo>(</mo>\u0000 <mi>t</mi>\u0000 <mo>)</mo>\u0000 </mrow>\u0000 <annotation>$$ 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 Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems","authors":"Shih-Chi Liao,&nbsp;A. Leonid Heide,&nbsp;Maziar S. Hemati,&nbsp;Peter J. Seiler","doi":"10.1002/rnc.7807","DOIUrl":"https://doi.org/10.1002/rnc.7807","url":null,"abstract":"<p>Quadratic systems with lossless quadratic terms arise in many applications, including models of atmosphere and incompressible fluid flows. Such systems have a trapping region if all trajectories eventually converge to and stay within a bounded set. Conditions for the existence and characterization of trapping regions have been established in prior work for boundedness analysis. However, prior solutions have used non-convex optimization methods, resulting in conservative estimates. In this paper, we build on this prior work and provide a convex semidefinite programming condition for the existence of a trapping region. The condition allows for precise verification or falsification of the existence of a trapping region. If a trapping region exists, then we provide a second semidefinite program to compute the least conservative radius of the spherical trapping region. Two low-dimensional systems are provided as examples to illustrate the results. A third high-dimensional example is also included to demonstrate that the computation required for the analysis can be scaled to systems of up to <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>∼</mo>\u0000 <mi>O</mi>\u0000 <mo>(</mo>\u0000 <mn>100</mn>\u0000 <mo>)</mo>\u0000 </mrow>\u0000 <annotation>$$ sim O(100) $$</annotation>\u0000 </semantics></math> states. The proposed method provides a precise and computationally efficient numerical approach for computing trapping regions. We anticipate this work will benefit future studies on modeling and control of lossless quadratic dynamical systems.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2425-2436"},"PeriodicalIF":3.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7807","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Delay Margin Analysis of Uncertain Linear Control Systems Using Probabilistic \u0000 \u0000 \u0000 μ\u0000 \u0000 $$ mu $$","authors":"F. Somers,&nbsp;C. Roos,&nbsp;J.-M. Biannic,&nbsp;F. Sanfedino,&nbsp;V. Preda,&nbsp;S. Bennani,&nbsp;H. Evain","doi":"10.1002/rnc.7780","DOIUrl":"https://doi.org/10.1002/rnc.7780","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 &lt;p&gt;Monte Carlo simulations have long been a widely used method in the industry for control system validation. They provide an accurate probability measure for sufficiently frequent phenomena but are often time-consuming and may fail to detect very rare events. Conversely, deterministic techniques such as &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;μ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ mu $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; or IQC-based analysis allow fast calculation of worst-case stability margins and performance levels, but in the absence of a probabilistic framework, a control system may be invalidated on the basis of extremely rare events. Probabilistic &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;μ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ mu $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;-analysis has therefore been studied since the 1990s to bridge this analysis gap by focusing on rare but nonetheless possible situations that may threaten system integrity. The solution adopted in this paper implements a branch-and-bound algorithm to explore the whole uncertainty domain by dividing it into smaller and smaller subsets. At each step, sufficient conditions involving &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;μ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ mu $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; upper bound computations are used to check whether a given requirement–related to the delay margin in the present case–is satisfied or violated on the whole considered subset. Guaranteed bounds on the exact probability of delay margin satisfaction or violation are then obtained, based on the probability distributions of the uncertain parameters. The difficulty here arises from the exponential term &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;e&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mo&gt;−&lt;/mo&gt;\u0000 &lt;mi&gt;τ&lt;/mi&gt;\u0000 &lt;mi&gt;s&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/msup&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {e}^{-tau s} $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; classically used to represent a delay &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;τ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ tau $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, which cannot be directly translated into the Linear Fractional Representation (LFR) framework imposed by &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;μ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ mu $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;-analysis. Two differen","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2101-2118"},"PeriodicalIF":3.2,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582080","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":"Robust Estimation-Based Non-Fragile Control for Discrete-Time Non-Linear Systems","authors":"Elham Javanfar,&nbsp;Mehdi Rahmani,&nbsp;Moh Kamalul Wafi","doi":"10.1002/rnc.7806","DOIUrl":"https://doi.org/10.1002/rnc.7806","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, a novel robust estimation-based non-fragile controller is designed for a specific class of discrete-time, time-varying, non-linear systems whose non-linear term satisfies the incremental quadratic inequality, which is parameterized by a set of multiplier matrices and sector-bounded conditions. The system is subject to unknown external input with fluctuating controller gain. The proposed approach introduces an improved standard linear filter structure, including non-linear terms and a modified state feedback controller. The <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>ℒ</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {mathcal{L}}_{infty } $$</annotation>\u0000 </semantics></math> stability of the closed-loop system is guaranteed in the framework of linear matrix inequalities (LMIs), and the state estimator and controller gains are determined simultaneously such that the boundedness of the control input is ensured. Moreover, an LMI-based optimization problem is presented to obtain the closed-loop system's maximum domain of attraction (DOA). The benchmark system of RTAC is employed to verify the performance of the proposed control approach.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2462-2471"},"PeriodicalIF":3.2,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581612","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":"RBF Neural Network-Based Distributed Nonlinear Model Predictive Control on Tandem Cold Rolling Stands","authors":"Yue-Yan Niu,&nbsp;Xiao-Jian Li,&nbsp;Chao Deng","doi":"10.1002/rnc.7810","DOIUrl":"https://doi.org/10.1002/rnc.7810","url":null,"abstract":"<div>\u0000 \u0000 <p>The precision of the strip thickness is an index of significance in the tandem cold rolling process which makes a difference to the strip quality. However, it is hard to build an accurate mathematical model for thickness control in the tandem cold rolling process, because there exist coupling relationships of complexity between the adjacent stands and unmeasurable process parameters. To overcome the difficulties, a distributed nonlinear model predictive control (DNMPC) strategy with a deep learning method is put forward in this paper, where the auto-regressive radial basis function neural networks are established to model the tandem cold rolling process. For each stand, not only the control input and exit thickness output data of this stand, but also the data of the neighbor stands are selected as the input of the neural network. Besides, the design of the distributed nonlinear model predictive controller turns into an optimization problem, and the gradient method is applied to solve it, which gets rid of the leaning upon mathematical models. Moreover, the stability of the developed method is proven, which indicates the boundedness of the tracking error. The simulations are carried out on three-stand and five-stand examples, and the results verify the efficacy of the proposed DNMPC strategy.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2451-2461"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581765","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":"Memory-Based Adaptive Event-Triggered Filter Subject to Hybrid Cyber Attacks and Input Limitation","authors":"Ya-Li Zhi,&nbsp;Bing Liu,&nbsp;Suyin Liao,&nbsp;Shuping He","doi":"10.1002/rnc.7794","DOIUrl":"https://doi.org/10.1002/rnc.7794","url":null,"abstract":"<div>\u0000 \u0000 <p>This article focuses on the design of a secure memory-based adaptive event-triggered filter for networked systems subject to hybrid cyber attacks and input limitations. First, a hybrid attack model incorporating denial-of-service (DoS) attacks, deception attacks, and replay attacks is established for filter design. Second, a novel memory-based adaptive event-triggered strategy sensitive to cyber attacks is introduced into the filter design to save network resources, optimize network channel utilization, and prevent network congestion. Subsequently, a novel event-triggered filtering error model is established under hybrid cyber attacks and input limitations. Utilizing Lyapunov–Krasovskii functionals and linear matrix inequality (LMI) techniques, sufficient conditions can be concluded to prove the exponential mean-square stability of the filtering error model with a given <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 <annotation>$$ Hinfty $$</annotation>\u0000 </semantics></math> performance index. Finally, the effectiveness and the practicality of the obtained conclusions are demonstrated by a numerical simulation and tunnel diode circuit.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2258-2272"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581766","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":"Prescribed-Time Optimal Formation Synchronous Tracking Control of UAV-Ugvs Based on Reinforcement Learning","authors":"Shi-Xun Xiong,&nbsp;Guo-Ping Jiang,&nbsp;Yun-Xia Zhu,&nbsp;Xiao-Ming He,&nbsp;Shu-Han Chen","doi":"10.1002/rnc.7808","DOIUrl":"https://doi.org/10.1002/rnc.7808","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper explores the issue of prescribed-time optimal formation synchronous tracking control of nonlinear unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) systems. Based on a novel constructed second-order nonlinear UAV-UGV swarm case, the reinforcement learning (RL) method is introduced to obtain the optimal control scheme, and a gradient descent method with a simple positive function for the Hamilton-Jacobi-Bellman (HJB) equation is improved to establish the adaptive actor and critic networks and solve the iterate adaptive laws, which allows adaptive parameters to be trained more thoroughly. Integrating the prescribed-time constraints of formation tasks, the incorporation of traditional prescribed-time functions can result in structural modifications within the RL framework and state coupling, thereby increasing the complexity of control strategy design. Hence, the prescribed-time functions are designed in the critic and actor networks, which address the state coupling and optimize the acquisition of adaptive parameters under the gradient descent method. Then, by employing the aforementioned methods, an optimal synchronous control scheme is proposed to address nonlinear UAV-UGV time-varying formation tracking at a settling time, and a pivotal scaling technique is used for formation stability analysis. Finally, simulation and experiment results are carried out to demonstrate the efficacy of the proposed approach.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2437-2450"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581848","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":"On Gain Scheduling Trajectory Stabilization for Nonlinear Systems: Theoretical Insights and Experimental Results","authors":"Nicolas Kessler,&nbsp;Lorenzo Fagiano","doi":"10.1002/rnc.7784","DOIUrl":"https://doi.org/10.1002/rnc.7784","url":null,"abstract":"<p>Steering a nonlinear system from an initial state to a desired one is a common task in control. While a nominal trajectory can be obtained rather systematically using a model, for example, via numerical optimization, heuristics, or reinforcement learning, the design of a computationally fast and reliable feedback control law that guarantees bounded deviations around the found trajectory can be much more involved. An approach that does not require high online computational power and is well-accepted in industry is gain-scheduling. The results presented here pertain to the boundedness guarantees and the set of safe initial conditions of gain-scheduled control laws, based on subsequent linearizations along the reference trajectory. The approach bounds the uncertainty arising from the linearization process, builds polytopic sets of linear time-varying systems covering the nonlinear dynamics along the trajectory, and exploits sufficient conditions for the existence of a robust polyquadratic Lyapunov function to attempt the derivation of the desired gain-scheduled controller via the solution of linear matrix inequalities (LMIs). A result to estimate an ellipsoidal set of safe initial conditions is provided too. Moreover, arbitrary scheduling strategies between the control gains are considered in the analysis, and the method can also be used to check/assess the boundedness properties obtained with an existing gain-scheduled law. The approach is demonstrated experimentally on a small quadcopter, as well as in simulation to design a scheduled controller for a chemical reactor model and to validate an existing control law for a gantry crane model.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2142-2155"},"PeriodicalIF":3.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7784","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Bumpless Transfer Control for Synchronization of Switched Neutral-Type Neural Networks With a Reachable Set Strategy","authors":"Fang Li,&nbsp;Hong Sang,&nbsp;Peng Wang,&nbsp;Ying Zhao,&nbsp;Yajing Ma,&nbsp;Georgi M. Dimirovski","doi":"10.1002/rnc.7802","DOIUrl":"https://doi.org/10.1002/rnc.7802","url":null,"abstract":"<div>\u0000 \u0000 <p>This investigation primarily centers on the reachable-set-based bumpless transfer control (BTC) for the synchronization of switched neutral-type neural networks (SNNNs). In order to mitigate the conservatism inherent in the traditional state-dependent switching strategies (SDSSs) and combined switching strategies (CSSs), an improved CSS leveraging the historical information of neuron states and neutral delay is developed. By constructing a time-dependent multiple Lyapunov-Krasovskii functional (TDMLF) technique, a less conservative criterion for reachable set estimation (RSE) is first established. In the subsequent, the established design framework is further employed by the BTC for the synchronization of SNNNs. The corresponding synchronization criterion is derived, which ensures that the resultant synchronization error influenced by bounded external inputs can be confined to an anticipated bounded set. Also, the underlying control bumps at switching instants during switching instants are effectively constrained to a specific level. Ultimately, the practicability and superiority of the proposed design framework are confirmed via two simulation examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2310-2323"},"PeriodicalIF":3.2,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581746","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":"Range-Varying Sliding Mode-Based Integrated Guidance and Control for Hypersonic Vehicle With Multi-Constraints","authors":"Weiping Xu,&nbsp;Yuxin Liao,&nbsp;Xin Wang,&nbsp;Caisheng Wei,&nbsp;Zeyang Yin,&nbsp;Qifeng Chen","doi":"10.1002/rnc.7804","DOIUrl":"https://doi.org/10.1002/rnc.7804","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper proposes a novel integrated guidance and control (IGC) scheme for a bank-to-turn (BTT) hypersonic vehicle (HV) in the dive phase with multi-constraints, input saturation, and complex uncertainties. In the guidance loop, the presence of the terminal impact angle constraints may cause severe saturation of the attack angle, which may lead to the failure of the mission. Motivated by this issue, a range-varying sliding mode surface is constructed, of which the core is a novel line-of-sight (LOS) angle error shaping strategy that drives the LOS angle errors to converge along the prescribed performance functions. On this basis, a range-based prescribed performance function is designed to portray a practical saturation-alleviation convergence characteristic of the LOS angle errors. In the control loop, the barrier Lyapunov function (BLF) and barrier function (BF)-based adaptive law are incorporated to restrict the states within proper regions in the presence of uncertainties. Additionally, an auxiliary system is constructed to deal with the adverse affect caused by input saturation. The stability of the closed-loop system is proved by the Lyapunov stability theory. Finally, the effectiveness and robustness of the proposed IGC scheme are verified through numerical simulations.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2383-2398"},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143581623","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}