State estimation via Markov switching‐channel network and application to suspension systems

Yin, Xunyuan; Zhang, Lixian; Ning, Zepeng; Tian, Dapeng; Alsaedi, Ahmed; Ahmad, Bashir

doi:10.1049/iet-cta.2016.1108

Cited by 22 publications

(15 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, network control systems (NCSs) have been a growing trend, which have found wide implementations in such as input‐to‐state stability, sensor networks, and power control . Due to the ease of integration of NCSs with other systems, it has gained increasing attention . Cyberattacks are a fatal threat to the safety of NCSs, whose purpose is to reduce system reliability.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Liu

Qiu

et al. 2020

Optim Control Appl Methods

View full text Add to dashboard Cite

Summary This paper studies the event‐triggered H∞ control for synchronization of networked switched master‐slave systems under external disturbance, stochastic attacks, and quantization. With the proposed event‐triggering schemes, the communication frequency and data packets can be effectively regulated and reduced. To reduce further the burden of network transmission, the quantized control is applied. Moreover, the network transmission delay and the stochastic cyberattacks are concerned. In addition, the synchronization problem between switched master systems and switched slave systems is transformed into a stability problem of switched error systems. By adopting multiple Lyapunov functions and average dwell time method, sufficient conditions are constructed to assure the mean‐square exponential stability with H∞ performance of the switched error systems. Meanwhile, the stagger between data switching instants and triggering instants is discussed in the system in detail. Accordingly, the controller gains and event‐triggering parameters are obtained utilizing a set of linear matrix inequalities. Finally, a numerical simulation and a practical example are illustrated to demonstrate the effectiveness of the presented method.

show abstract

Section: Introductionmentioning

confidence: 99%

“…34 Due to the ease of integration of NCSs with other systems, it has gained increasing attention. [35][36][37] Cyberattacks are a fatal threat to the safety of NCSs, whose purpose is to reduce system reliability. Several cyberattack models have been analyzed in detail to help understand the vulnerability of NCSs.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Liu

Qiu

et al. 2020

Optim Control Appl Methods

View full text Add to dashboard Cite

show abstract

“…For the delay‐dependent criteria, 8‐10 a Lyapunov‐Krasovskii Function (LKF) plays a major part in discussing the control issues of time‐varying delayed systems. Furthermore, the LKF was also applied for some delayed polynomial systems such as Takagi‐Sugeno fuzzy systems, 9,11,12 Markov jump systems, 13,14 large‐scale systems, 15 multi‐agent systems, 16 and linear parameter varying (LPV) systems 6,10,17 . To reduce the conservatism, reciprocal convex lemma, 8 free matrix technique, 9 and Jensen inequality 10‐13 were proposed for the relaxed stability criteria.…”

Section: Introductionmentioning

confidence: 99%

Delay‐dependent robust control of stochastic systems with convex polynomial uncertainty

Chang

Hsu

et al. 2020

Optim Control Appl Methods

View full text Add to dashboard Cite

Summary This article addresses a robust control problem of time‐varying stochastic systems with time‐delays. Through Linear Parameter Varying (LPV) modeling approach, the time‐varying parameters can be described via the convex combination. Therefore, the LPV stochastic system is interpreted by a weighting function and multiplicative noised linear systems. Furthermore, stabilization problem for the systems is investigated via Gain‐Scheduled (GS) technique to increase robustness. For the problem, some sufficient conditions are derived by Integral Lyapunov‐Krasovskii Function (ILKF) such that the conservatism caused by derivative of weighting function is ignored. Besides, an Iterative Linear Matrix Inequality algorithm is used to determine the auxiliary variable such that the problem can be solved via the convex calculation. Finally, some simulations are provided to demonstrate effectiveness and applicability of this article.

show abstract

“…These two advantages render the H ∞ filtering method very appropriate to practical applications. Most recently, some researchers have paid attention to state estimation/filtering problems for nonlinear systems (Yin et al, 2016, 2018; Lin et al, 2017; Yin and Liu, 2017; Zhu et al, 2018a,b). More specifically, the work of Yin and Liu (2017) focused on the distributed moving horizon estimation (DMHE) for a class of two-time-scale nonlinear systems described in the framework of singularly perturbed systems.…”

Section: Introductionmentioning

confidence: 99%

“…State and input simultaneous estimation for discrete-time switched singular delay systems were investigated under the missing measurements Lin et al (2017). The H ∞ estimation for a class of networked non-linear systems was considered in Yin et al (2016). The problem of stability and stabilization for discrete-time switched PWA systems was studied by using a descriptor system approach in Zhu et al (2018a).…”

Section: Introductionmentioning

confidence: 99%

A Periodic Event-Triggered Design of Robust Filtering for T-S Fuzzy Discrete-Time Systems

et al. 2019

View full text Add to dashboard Cite

Periodic event-triggered control (PETC) is a control strategy consisting of event-triggered control (ETC) and conventional periodic sampled-data control. By using event-triggering mechanisms (ETM) to periodically verify whether or not to transmit and compute the measured output, communication and computational datum are significantly reduced while still retaining a satisfactory performance. This paper investigates the PETC scheme of robust ∞ filtering for a class of uncertain discrete-time Takagi-Sugeno (T-S) fuzzy systems, where the sample time is assumed to be a constant. To analyze the filtering problems of the PETC strategy, we present two frameworks based on perturbed linear and piecewise linear systems, to model filtering error systems. Sufficient conditions for the existence of a robust ∞ filter are derived in the form of matrix inequalities (LMIs) under these two frameworks, respectively. Finally, a simulation example is used to testify to the effectiveness of the proposed approach.

show abstract

State estimation via Markov switching‐channel network and application to suspension systems

Cited by 22 publications

References 38 publications

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Delay‐dependent robust control of stochastic systems with convex polynomial uncertainty

A Periodic Event-Triggered Design of Robust Filtering for T-S Fuzzy Discrete-Time Systems

Contact Info

Product

Resources

About

State estimation via Markov switching‐channel network and application to suspension systems

Cited by 22 publications

References 38 publications

Event‐triggered H∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Event‐triggered H∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Delay‐dependent robust control of stochastic systems with convex polynomial uncertainty

A Periodic Event-Triggered Design of Robust Filtering for T-S Fuzzy Discrete-Time Systems

Contact Info

Product

Resources

About

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization

Event‐triggered H_∞ synchronization control for switched master‐slave systems subject to stochastic cyber attacks and quantization