This paper investigates the problem of asynchronous resilient control problem for a class of Takagi-Sugeno (T-S) fuzzy singular Markov jump cyber-physical systems (SMJCPSs) subject to hybrid cyber attacks. To address the practical constraint of limited communication resources in multi-sensor environments, a novel dynamic memory event-triggered weighted try-once-siscard protocol (DMET-WTODP) is proposed. This protocol intelligently schedules the transmission order of multiple sensors and dynamically determines the datasending instants, thereby effectively alleviating network congestion. Furthermore, an asynchronous resilient controller (ARC) is designed to compensate for the mode asynchrony described by an Hidden Markov Model (HMM), as well as hybrid attacks. A unified framework is established to derive control gains suitable for different HMM scenarios. Based on a DoSattackparameterdependent Lyapunov functional, sufficient conditions ensuring the stochastic admissibility of the closedloop system are derived. Finally, the effectiveness and superiority of the proposed control scheme are verified through two typical examples: a DC motor and a singlelink robotic arm.

This article develops a zero-sum game-based optimal estimation compensation scheme for multi-agent systems under denial-of-service (DoS) attacks and false data injection (FDI) attacks. First, a unified observer is developed to observe consensus error under the FDI attack and the DoS attack. Second, a FDI secondary compensator (FDI-SC) for the FDI attack is designed to compensate for the unestimated state of the FDI attack estimated by the unified observer and consensus deviations. Third, an integral reinforcement learning (IRL) algorithm is introduced to address the difficulty of computing the unknown FDI-related states. Additionally, the unified observer and FDI-SC are modeled as participants in a zero-sum game, which is integrated with the DoS attack model within the IRL framework to obtain an optimal solution. Finally, the stability conditions are established based on the Hamilton-Jacobi-Bellman and Lyapunov-Krasovskii methods. The simulation results demonstrate the effectiveness of this method.

This paper investigates a robust trajectory tracking control problem of an underactuated unmanned surface vehicle (USV) subject to external disturbances, model uncertainties, actuator saturation and faults. The underactuated problem is solved by introducing a coordinate transformation method that takes the hand position point as an output, which in turn simplifies the controller design. On that basis, two fault-tolerant super-twisting controllers are proposed to solve two different cases of the problem. The first controller is designed to address lumped disturbances with known boundaries. In order to overcome the disturbances more efficiently, a leakage-type adaptive (LTA) law is employed in the second controller to update the control gains and compensates the disturbances without their prior information about the derivative boundaries. Also, an anti-windup compensator is integrated in the controller design to solve the saturation non-linearity problem by incorporating auxiliary variables. Since the designed control law is continuous, it can effectively attenuate the chattering phenomenon and ensure that the tracking errors converge in finite time. Finally, the simulation is performed to demonstrate the effectiveness and superiority of the presented approach.

This article proposes a novel method to achieve strategy consensus for evolutionary games on networks through degree-based pinning and incentive control. First, for 2-strategy evolutionary games on star networks, the necessary and sufficient condition is proposed to achieve strong strategy consensus only using degree-based pinning control. If this condition is not satisfied, the integration of the incentive control method is explored. This integration yields the minimum value of incentive parameter required to achieve strong strategy consensus. Second, for$ k $-strategy evolutionary games on star networks, the necessary and sufficient condition only using degree-based pinning control and the minimum value of incentive parameter are proposed to achieve strong strategy consensus. Third, a hierarchical approach for players is employed to extend these results to evolutionary games on general networks. Under the framework of degree-based pinning control, the algorithm for calculating the minimum value of incentive parameter is introduced to make evolutionary games on general networks achieve weak strategy consensus. Finally, two illustrative examples are employed to demonstrate the effectiveness of the obtained results.

This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the switching adaptive laws and switching adaptive tracking controller are dynamically event-triggered simultaneously for data transmission, leading to several challenges in achieving the tracking task and Zeno-free behavior. A multiple Lyapunov function method is established to design a switching event-triggered adaptive law and switching dynamic event-triggered adaptive tracking controller. The proposed dynamic event-triggered mechanism guarantees that the interexecution time between two consecutive triggered points has a positive lower bound. The state-dependent switching signal and switching dynamic event-triggered adaptive tracking controller are designed such that all the signals of the error dynamic system are bounded, and the system state asymptotically tracks the desired reference model state. Finally, an example of an electro-hydraulic system illustrates the availability of the established strategy.

This study addresses the zonotopic interval estimation for a class of discrete-time switched neural networks (NNs) under an event-triggered mechanism. Unlike the existing studies, it adopts zonotopic set-membership estimation and considers general asynchronism, thereby enhancing the accuracy and applicability of the estimation results. First, by constructing appropriate observer-mode-dependent Lyapunov functions, certain sufficient conditions are established to guarantee the stability and${\ell }_{\infty }$performance of the augmented error system. Based on these conditions, we present a co-design approach for the switching signals and event-triggered nonlinear observer. Furthermore, a time-varying state zonotope is established, and the corresponding estimated bounds are derived. Finally, the efficacy of the proposed interval estimation approach is validated through two illustrative examples.

This article studies the attack detection and reconstruction problem for autonomous underwater vehicles (AUVs) subject to unknown but bounded disturbances and measurement noise. First, a Takagi-Sugeno (T-S) fuzzy model is utilized to address the nonlinearity of AUVs. Then, a$H_{\infty }$T-N-L observer is introduced to estimate system state. Subsequently, to improve the accuracy of attack detection, an improved attack detection method within the T-S fuzzy system framework is obtained by the reachability analysis of the residual. Afterwards, the effect of disturbances and measurement noise on attack reconstruction and isolation is analyzed. The accuracy of attack reconstruction and isolation for T-S fuzzy systems is improved by zonotopic analysis. Finally, the effectiveness and advantages of the proposed method are verified through simulation results.

This article investigates the event-triggered (ET) almost output regulation (ETAOR) issue for the switched T-S fuzzy (T-SF) systems with both output regulation (OR) characteristic and $L_{2}$ gain characteristic considered. First, in order to conserve communication resources, an ET mechanism and an ET switched fuzzy feedback controller are devised. Then, the definition of the ETAOR issue for the switched T-SF systems is presented. Next, with the relaxed assumption of the same coordinate transformation, the ETAOR issue of the switched T-SF systems is transformed into the ET $H_{\infty } $ control problem of the switched T-SF systems. Further, by using the multiple Lyapunov functions approach, a solvability condition on the ETAOR issue is established for the switched T-SF systems with the average dwell-time related switching signals. Such condition is also suitable for nonswitched T-SF systems. In addition, Zeno behavior may be caused by the ET programme is excluded. Finally, the presented control method is applied to an aero-engine case study to corroborate its effectiveness.

This article addresses the dynamic memory event-triggered anti-disturbance (DMETAD) control problem for switched cyber-physical systems (SCPSs) under the scenario of multiple disturbances and periodic Denial-of-Service (DoS) attacks. The multiple disturbances are composed by modeled disturbance and unmodeled disturbance. The control objective is to mitigate the impact of multiple disturbances and periodic DoS attacks. Firstly, the dynamic memory event-triggered (DMET) mechanism is introduced. Then, the disturbance observer is designed to estimate the modeled disturbance. Further, the controller based on the disturbance observer and DMET protocol is constructed to compensate the modeled disturbance and suppress the unmodeled disturbance. Next, by virtue of the multiple Lyapunov functions strategy, constraints are established for the SCPSs to force the solvability of the DMETAD control issue. Finally, a switched RLC circuit system simulation case is implemented, validating the reasonability of the established DMETAD control technique.

This article focuses on the adaptive anti-disturbance bumpless transfer (AADBT) control issue for the switched neural network systems (SNNSs) encountered by the unmeasurable neural network (NN) modeled disturbance and the measurable unmodeled disturbance through the multiple Lyapunov functions method. First, an adaptive regulator is set to appropriate the unknown parameter in the NN disturbance model. Then, an adaptive disturbance observer is built to estimate the NN modeling disturbance. Further, based on the adaptive regulator and disturbance observer, a switched controller and a state-relevant switching regulator are dual designed to compensate the influence of the NN modeled disturbance and alleviate the influence of the unmodeled disturbance with the jumps in the control input are reduced. Finally, the established control scheme is applied to the switched RLC circuit model, exhibiting the effectiveness of the control strategy.

This article proposes a bumpless tracking switching control method for the interval type-2 (IT2) switched positive Takagi–Sugeno (T–S) fuzzy systems (SPTSFSs). The IT2 SPTSF model is employed to adeptly transform the nonlinear positive system into a linear form with inherent uncertainties addressed by IT2 fuzzy sets. First, the conservativeness of the system model is relaxed by refining the IT2 membership function. Then, by the multiple Lyapunov functions technique, the condition is developed to derive the solvability of the bumpless tracking switching control issue for the IT2 SPTSFSs. By employing the matrix transformation method, the condition is convex. Furthermore, controller and switching logic are established to force the IT2 SPTSFSs to obtain the bumpless tracking switching performance. Finally, an elaborate simulation case on the turbine engine is given to verify the validity of the introduced bumpless tracking switching control strategy.

In this article, we propose a digital twin model (DTM) based on the nonlinear autoregressive model with exogenous (NARX) inputs model network to predict engine gas path parameters accurately. The DTM is combined by a model-driven model (MDM) and a data-driven model (DDM). To allocate the function of MDM and DDM, a pretreating fusion method is proposed for the first time, which is divided into three parts. First, all parameters are predicted by the MDM. Second, for the parameters with bad predictive effects, the DDM is employed to optimize them. Third, the parameters with good predictive effects and those optimized by DDM are fused to generate the DTM. The DDM is built by a two-stage NARX. Particularly, a NARX with a gate recurrent unit attention mapping function is used to improve the accuracy of the predicted parameters. The experimental results show that the maximum prediction error of the DTM is less than 5%. This implies that the fused DTM guarantees the prediction accuracy of each gas path parameter in the case of performance degradation.

This paper is concerned with the switching dynamic positioning (DP) control issue for unmanned marine vehicles (UMVs). Primarily, a switched T-S fuzzy model that describes UMVs subject to mass-switched, nonlinear terms as well as dual-source disturbances is introduced for the first time. Unmeasurable modeled wave drifts and measurable unmodeled residual filtered waves are constituted by dual-source disturbances. An estimator is constructed to capture the wave drifts. Further, a time-event-memory triggered mechanism that combines the advantages of both time-triggered and event-triggered mechanisms is presented. This mechanism seeks to conserve limited communication resources without significantly sacrificing system performance. The retained historical information in the memory term provides greater flexibility for the triggered conditions. Finally, leveraging the multiple Lyapunov functions technique, the solvability criteria for the switching DP issue is provided. The reliability of the proposed strategy is confirmed by a mass-switched vessel.

In this article, a dynamic event-triggered adaptive antidisturbance (ETAAD) switching control strategy is proposed for switched systems subject to multisource disturbances. The disturbances are divided into two categories: the available unmodeled disturbance and the unavailable dynamic neural network modeled disturbance. First, a dynamic ET criterion is set based on the system state. Then, a novel dynamic ETA disturbance estimator is introduced to observe the modeled disturbance. Furthermore, according to the ET rule and adaptive disturbance observer, a switched controller is designed. Next, under the controller and switching criterion with the average dwell time limitation, sufficient conditions are given to force the switched systems to realize multisource disturbance suppression (DS), trajectory tracking, and communication resource (CR) saving simultaneously. Meanwhile, the Zeno phenomenon may be caused by the ET rule being excluded. In addition, the presented ETAAD approach is also applicable to the nonswitched systems case. Finally, a simulation case is given to validate the effectiveness of the dynamic ETAAD switching control method.

This article is concerned with the adaptive disturbance suppression output regulation (ADSOR) problem for the switched systems (SSs) subjected to multisource disturbances. The disturbances are consisted of the measurable unmodeled disturbance and unmeasurable dynamic neural network (DNN) modeling disturbance. First, an adaptive disturbance estimator (ADE) is designed to capture the unmeasurable disturbance. Then, via the ADE, the ADSOR controller, and the switching index are co-constructed to make the regulation on the system output and the suppression on the multisource disturbances of SSs. Further, for the SSs with multisource disturbances, the criteria are derived to force the OR performance as well as the multisource disturbance resistance performance, even though the subsystems are not individually capable of achieving these performances. Finally, the turbofan model simulation verifies the applicability and validity of the developed results.

This article concerns the finite-time performance analysis for switched Takagi–Sugeno fuzzy (STSF) systems subject to time-varying delay. Since the existing relevant results for finite-time synthesis of general switched systems require the finite-time stability property of the individual subsystem, a more general situation that the STSF systems comprised fully of finite-time unstable delayed subsystems are considered in the investigation. For surmounting this situation, a novel time-dependent multiple Lyapunov–Krasovskii functional approach is developed by integrating a ranged dwell time switching mechanism. Then, the corresponding (input–output) finite-time stability criteria with less conservativeness are simultaneously derived for the (perturbed) STSF delayed systems to be (input–output) finite-time stable over the concerned finite-time interval. Finally, two illustrative examples are provided to demonstrate the accuracy and superiority of the developed (input–output) finite-time analysis framework.

This investigation proposes an event-triggered-based antidisturbance switching control technique for the switched Takagi–Sugeno (T–S) fuzzy systems (FSs) subject to multiple disturbances as well as unavailable system state. The disturbances are comprised of two parts, i.e., the unavailable modeled disturbances and the available unmodeled disturbances. First, a composite observer is constructed to capture the unavailable system state and unavailable modeled disturbances. Then, on the basis of the observer, a switching controller with an event-triggered program inserted is established. Meanwhile, a switching criterion is formulated. Further, under the developed controller and switching criterion, the sufficient conditions are presented for the switched T–S FSs to achieve the multiple disturbances suppression and the communication transmission resource saving. In the end, the reasonability of the raised event-triggered-based antidisturbance switching control scheme is verified with the employed simulation example.

This article studies the$H_{\infty }$composite anti-bump switching control problem for switched systems. First, a more general description on the anti-bump switching performance is presented, including the definition on the existing input anti-bump switching performance and that on the rate anti-bump switching performance as special cases. Then, by virtue of determining a group of controllers combined with a switching logic, a control design program is steered for handling the problem of$H_{\infty }$composite anti-bump switching control for the switched systems. Further, a criterion is attained to capture the composite anti-bump switching performance and disturbance restrain performance, conquering the conflicts in the requirements of the input anti-bump switching, rate anti-bump switching, and disturbance attenuation. Also, this condition admits that each of the composite anti-bump switching performance and disturbance restrain performance may not be held by subsystems. In the end, a practical model example is provided to display how the formed control design scheme effectively works.

This paper concentrates on the issue of${H} _{\infty}$reliable bumpless transfer control for a category of switched systems (SSs) with state and rate constraints. The${H} _{\infty}$reliable bumpless transfer control problem refers to designing a collection of reliable controllers and a switching rule to ensure the SSs to satisfy the bumpless transfer performance and${H} _{\infty}$reliable property. First, a concept of the bumpless transfer performance for a system in this category with possible actuator faults is introduced. Then, by a multiple Lyapunov functions approach, a switching rule and a set of reliable controllers are co-designed to assess the disturbance tolerance capability with bumpless transfer performance and to solve the${H} _{\infty}$reliable bumpless transfer control problem of the system. Second, a criterion guaranteeing the bumpless transfer performance and${H} _{\infty}$reliable property of the system is established. The criterion allows each subsystem not to possess both the bumpless transfer performance and${H} _{\infty}$reliable property. Further, an algorithm is proposed to estimate the attraction domain of the system without disturbances. Finally, the effectiveness of the presented control scheme is verified by an example of controlling a turbofan model.

This paper concentrates on the bumpless transfer control problem for a category of switched fuzzy systems with L2-gain property. A description of the bumpless transfer performance for switched fuzzy systems is introduced for the first time. A general multiple Lyapunov functions strategy is exploited to solve the bumpless transfer control problem of the switched fuzzy systems with the L2-gain property. The multiple Lyapunov functions scheme allows the disconnection of the successive Lyapunov functions when a switching happens. A criterion on the bumpless transfer performance with the L2-gain property is established, allowing each subsystem to satisfy neither the bumpless transfer performance nor the L2-gain property. Moreover, when only the L2-gain property is considered, the condition is mildly expressed in terms of matrix inequalities rather than the usual combination of matrix inequalities and matrix equalities. Finally, an example of controlling a mass-spring-damping model is offered to validate the effectiveness of the developed control strategy.