Hybrid-triggered Scheme Research Articles

Observer-Based Security Control for Nonlinear Suspension Systems With Cyber-Attacks and Hybrid-Triggered Scheme

Observer-Based Security Control for Nonlinear Suspension Systems With Cyber-Attacks and Hybrid-Triggered Scheme

Hybrid-triggered and fault-tolerant observer-based control for neural networks under malicious attacks

Based upon hybrid-triggered mechanism, this article inspects fault-tolerant issue based (Q,S,R) dissipative control for neural networks system along with malcious attacks and external disturbances. To be precious, conventional Luenberger observer is employed to estimate the system state and malicious attack signal, whereas the presence of smoothed signal of malicious attack in the system state will not allow the augmented state to be precisely estimate. Moreover, the hybrid-triggered mechanism which incorporates both time- and event-triggered scheme is initiated to mitigate the redundancy of network transmission and secures the network resources. Preciously, the stochastic switching within the mechanism satisfies the Bernoulli distribution. The main intention of this study is to develop a hybrid-triggered scheme and a fault-tolerant controller for ensuring the mean-square asymptotic stability for the desired neural networks with (Q,S,R) dissipative performance index. Assisted by Lyapunov stability theory and some inequality techniques, an adequate criterion has been attained in the configuration of linear matrix inequalities (LMIs) to guarantee the asymptotic stability of the neural networks system. Further, the anticipated gain matrices are attained with the strength of obtained LMIs. In the final analysis, the applicability and efficacity of the proposed control model are reflected through two numerical examples.

Dynamic Hybrid-Triggered-Based Fuzzy Control for Nonlinear Networks Under Multiple Cyberattacks

This article addresses the problem of dynamic hybrid-triggered control for nonlinear networked control systems. A novel resilient control method is presented to improve network resource utilization and system performance against cyberattacks for the underlying systems. First, a fuzzy-model-based system is established to describe the nonlinear networked systems subject to multiple cyberattacks, external disturbances, parameter uncertainties, and network-induced delays. Then, a resilient dynamic hybrid-triggered scheme is proposed to conserve the network bandwidth and reduce the effect of cyberattacks. A new codesign method of the observer-based fuzzy controller and the resilient dynamic hybrid-triggered scheme is developed. Sufficient conditions in terms of linear matrix inequalities are given such that the closed-loop system is global exponential stable with an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_\infty$</tex-math></inline-formula> disturbances attenuation level. Finally, an example of lateral control in autonomous driving is given to verify the effectiveness of the developed control method.

Hybrid-triggered interval type-2 fuzzy control for networked systems under attacks

In this paper, the security control problem is considered for nonlinear networked control systems under cyber attacks. The nonlinearities are described by interval type-2 fuzzy models. To enhance bandwidth utilization and improve network control performance, a hybrid-triggered scheme is proposed. The networked control systems contain parametric uncertainties and time delays and are subject to external disturbances and cyber attacks. A hybrid-triggered-based control method is established to ensure the robust stability and a prescribed performance of the resulting closed-loop systems against attacks. Numerical simulation and a practical example of the bolt-tightening tool are provided to illustrate the effectiveness of the new control design method.

Hybrid-triggered-based security controller design for networked control system under multiple cyber attacks

This paper addresses the hybrid-triggered security control design for the networked control system (NCS) under multiple cyber attacks. A hybrid-triggered scheme (HTS) is introduced to mitigate the burden of the network transmission. Besides, a new model of multiple cyber attacks is built by simultaneously considering deception attacks and DoS attacks. In addition, A novel NCS model based on multiple cyber attacks is established with the hybrid-triggered scheme. Then, based on Lyapunov stability theory, criteria for guaranteeing the closed-loop system stability and achieving hybrid-triggered security controller design are derived. Finally, an illustrative example is given to validate the usefulness of the theoretical results.

Design of H∞ state estimator for delayed static neural networks under hybrid-triggered control and imperfect measurement strategy

This paper address the problem of designing H∞ state estimator for a class of delayed static neural networks (DSNNs) under the hybrid-triggered scheme (HTS) and imperfect measurement strategy. Firstly, for reducing the redundancy of signal transmission together with saving the network resource, a HTS is introduced in DSNNs, where the HTS characterized by Bernoulli distribution and takes into account the inevitable network-induced delay and packet dropout phenomenon simultaneously. Then, without loss of generality, we extend the results to a more general dissipative property, which is proposed for the first time, and which contains strict passivity except for the traditional four cases. Further, by considering the HTS, a modified delay-product-type Lyapunov functional is proposed. Accordingly, sufficient conditions for global asymptotically stable with a prescribed level γ of augmented system are obtained in the light of a set of LMIs, and the explicit expression of expected estimator is given. Finally, the feasibility and availability of the results of development are verified by three cases as example.

Finite-time dissipative control for networked control systems with hybrid-triggered scheme

This paper is concerned with the problem of finite-time dissipative control for networked control systems by hybrid triggered scheme. In order to save network resources, a hybrid triggered scheme is proposed, which consists of time-triggered scheme and event-triggered scheme simultaneously. Firstly, sufficient conditions are derived to guarantee that the closed-loop system is finite-time bounded (FTBD) and [Formula: see text] dissipative. Secondly, the corresponding controller design approach is presented based on the derived conditions. Finally, a numerical example is presented to show the effectiveness of the proposed approach.

Hybrid-triggered reliable dissipative control for singular networked cascade control systems with cyber-attacks

This paper is devoted to solving the problem of reliable (Q,S,R)-dissipative control for singular networked cascade control systems (SNCCSs) with randomly occurring cyber-attacks and actuator saturation. In order to reduce inessential communication transmissions in the network, a more common hybrid-triggered scheme is introduced to incorporate a time- and event-triggered scheme. Bernoulli distributed stochastic variables are introduced to describe the cyber-attacks and hybrid-triggered scheme, respectively. Three major factors that leads to damage the overall network security such as actuator saturation, actuator failure, and cyber-attacks are also consolidated with the proposed model. By using Lyapunov stability theory, Wirtinger-based integral inequality and stochastic analysis, a new set of sufficient conditions are derived in terms of linear matrix inequalities (LMIs) to guarantee the proposed model is asymptotically admissible and strictly (Q,S,R)-dissipative. In addition, a model of power-plant-gas turbine system based on a numerical simulation example is presented to illustrate the efficacy of the proposed control model.

Hybrid-Driven-Based ${\mathcal{H}}_\infty$ Control for Networked Cascade Control Systems With Actuator Saturations and Stochastic Cyber Attacks

This paper focuses on the hybrid-driven-based ${\mathcal {H}}_{\infty }$ control for networked cascade control systems (NCCSs) with actuator saturations and stochastic cyber attacks. In order to relieve the network bandwidth load effectively, a hybrid triggered scheme is introduced, which contains a switch between time-triggered scheme and event-triggered scheme. A newly hybrid-driven-based NCCS model is established by considering the effects of both actuator saturations and stochastic cyber attack, which is an important threat to network security. By using the Lyapunov stability theory, sufficient conditions are obtained to ensure the system stability. Furthermore, both primary controller gain and secondary controller gain are achieved explicitly in terms of linear matrix inequality techniques. Finally, a power plant gas-turbine system is presented to illustrate the usefulness of the designed state feedback controllers.

Hybrid-triggered consensus for multi-agent systems with time-delays, uncertain switching topologies, and stochastic cyber-attacks**Project supported by the National Natural Science Foundation of China (Grant Nos. 61074159 and 61703286).

We propose a new approach to discuss the consensus problem of multi-agent systems with time-varying delayed control inputs, switching topologies, and stochastic cyber-attacks under hybrid-triggered mechanism. A Bernoulli variable is used to describe the hybrid-triggered scheme, which is introduced to alleviate the burden of the network. The mathematical model of the closed-loop control system is established by taking the influences of time-varying delayed control inputs, switching topologies, and stochastic cyber-attacks into account under the hybrid-triggered scheme. A theorem as the main result is given to make the system consistent based on the theory of Lyapunov stability and linear matrix inequality. Markov jumps with uncertain rates of transitions are applied to describe the switch of topologies. Finally, a simulation example demonstrates the feasibility of the theory in this paper.

Quantized Stabilization for T–S Fuzzy Systems With Hybrid-Triggered Mechanism and Stochastic Cyber-Attacks

This paper examines quantized stabilization for Takagi–Sugeno (T–S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of the network. By taking the effect of the hybrid-triggered scheme and stochastic cyber-attacks into consideration, a mathematical model for a closed-loop control system with quantization is constructed. Theorems for main results are developed to guarantee the asymptotical stability of networked control systems by using Lyapunov stability theory and linear matrix inequality techniques. Based on the derived sufficient conditions in theorems, the controller gains are presented in an explicit form. Finally, two practical examples demonstrate the feasibility of designed algorithm.

Distributed hybrid-triggered H∞ filter design for sensor networked systems with output saturations

Abstract This paper is concerned with the distributed hybrid-triggered H∞ filter design problem for sensor networked systems (SNSs) with the output saturations. A distributed hybrid-triggered transmission scheme (DHTTS) is proposed to work in term of time-trigger and event-trigger switching, which can get a balance of saving network resources and improving system performance. Firstly, combining hybrid-triggered scheme and output saturation, the distributed H∞ filtering error system with communication delays is modeled. Then, by using Lyapunov–Krasovskii functional method and linear matrix inequality technique, some sufficient conditions for guaranteeing the asymptotic stability and average H∞ performance of the filtering error system are established, and the distributed filter parameters and hybrid-trigger matrix parameters can be obtained simultaneously. Finally, a simulation example is provided to illustrate the effectiveness of the developed method.

Quantized state estimation for neural networks with cyber attacks and hybrid triggered communication scheme

This paper is concerned with the issue of quantized state estimation for neural networks with cyber attacks and hybrid triggered communication scheme. In order to reduce the pressure of the network transmission and save the network resources, the hybrid triggered scheme and quantization are introduced. The hybrid triggered scheme consists of time triggered scheme and event triggered scheme, in which the stochastic switch is described by a variable satisfying Bernoulli distribution. First, by taking the effect of hybrid triggered scheme and quantization into consideration, a mathematical model for estimating the state of neural networks is constructed. Second, by using linear matrix inequality (LMI) techniques and Lyapunov stability theory, the sufficient conditions are given which can ensure the stability of estimating error system under hybrid triggered scheme, and the designing algorithm of desired state estimator is also presented in terms of LMIs. Finally, a numerical example is given to show the usefulness of the proposed approach.

Resilient observer-based control for networked nonlinear T–S fuzzy systems with hybrid-triggered scheme

In this paper, the resilient observer-based output feedback controller is designed for a class of networked T–S fuzzy systems under a hybrid-triggered scheme and mismatched membership functions. In order to improve network bandwidth utilization, a hybrid-triggered scheme is introduced between the state observer and the controller, which is based on a switching between periodic sampling and an event-triggered scheme. Considering the inaccurate implementation of the parameters of the observer-based controller, a novel hybrid-triggered T–S fuzzy model is constructed. Sufficient conditions are established for the augmented fuzzy systems by using Lyapunov theory and the linear matrix inequality techniques. Furthermore, the observer-based controller gains are designed in terms of linear matrix inequalities. Finally, a numerical example is provided to demonstrate the usefulness of the proposed method.

H∞ filtering for networked systems with hybrid-triggered communication mechanism and stochastic cyber attacks

This paper concentrates on investigating H∞ filtering for networked systems with hybrid-triggered communication mechanism and stochastic cyber attacks. Random variables satisfying Bernoulli distribution are introduced to describe the hybrid-triggered scheme and stochastic cyber attacks, respectively. Firstly, a mathematical H∞ filtering error model with hybrid-triggered communication mechanism is constructed under the stochastic cyber attacks. Secondly, by using Lyapunov stability theory and linear matrix inequality (LMI) techniques, the sufficient conditions which can guarantee the stability of augmented filtering error system are obtained and the parameters of the designed filter can be presented in an explicit form. Finally, numerical examples are given to demonstrate the feasibility of the designed filter.

Hybrid-driven-based H∞ filter design for neural networks subject to deception attacks

This paper investigates the problem of H∞ filter design for neural networks with hybrid triggered scheme and deception attacks. In order to make full use of the limited network resources, a hybrid triggered scheme is introduced, in which the switching between the time triggered scheme and the event triggered scheme obeys Bernoulli distribution. By considering the effect of hybrid triggered scheme and deception attacks, a mathematical model of H∞ filtering error system is constructed. The sufficient conditions that can ensure the stability of filtering error system are given by using Lyapunov stability theory and linear matrix inequality (LMI) techniques. Moreover, the explicit expressions are provided for the designed filter parameters that is in terms of LMIs. Finally, a numerical example is employed to illustrate the design method.