In this paper, we research the resilient control problem for cyber-physical system (CPS) under denial-of-service (DoS) attacks. These malicious DoS attacks aim to impede communication of measurement data or in order endanger functionality closed-loop system. Meanwhile, save network resources, event-triggered mechanism has been introduced into CPS. By exploiting relationship between cyber and physical system, design controller strategy tolerate a class signals characterised by probability...

This study is concerned with the problem of event-based fault detection (FD) filter design for interval type-2 fuzzy systems in a network environment. Firstly, by employing properties exponential function, novel adaptive event-triggering mechanism (AETM) where boundedness threshold function guaranteed and size inversely proportional to 2-norm sampled-output-error proposed dynamically adapt variation system reduce unnecessary information communication between sensor filter. Secondly,...

In order to save the usage of system resources and adapt variation plant state, this study first proposes a novel stochastic-sampling-based adaptive event-triggered scheme (AETS). Second, in framework time-delay systems, closed-loop control is modelled as class delayed stochastic systems where distributed some intervals with probability. Then, by employing analysis tool Lyapunov stability theory, criterion for established ensure that possesses stochastically asymptotic an disturbance...

In this paper, the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control problem for a class of linear time-varying cyber-physical system (CPS) under randomly occurring hybrid attacks in finite horizon is investigated. The attacks, including denial service (DoS) on both sensor-to-controller and controller-to-actuator communication channels false data injection (FDI) sensors actuators, aim to destroy measurement order endanger...

This paper is concerned with the problem of resilient control strategy for cyber-physical system(CPS) under denial-of-service(DoS) attacks. The combined design between cyber layer and physical CPS proposed. On one hand, mixed designed by using performance H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> index; on other controller system optimal strategy. method considers not only robust system, but also security network system. In end,...

This paper focuses on the data-driven optimal attack strategy against state estimation in cyber-physical systems (CPSs). Different from research strategies of specific types, proposed addresses selection attacked targets, which can combine with different types and produce greater threats to CPS. In particular, a causality analysis (CA) measurement data is first evaluate significance nodes (sensor groups) help implementation node attack, since system topology parameters are not available...

This paper addresses the problem of resilient adaptive event-triggered control (AETC) for networked stochastic systems (NSCSs) in presence external disturbance and energy-constrained, nonperiodic denial-of-service (DoS) attacks. A novel scheme (AETS) that considers effect DoS attacks on communication network is proposed to reduce usage system resources adapt variation plant state, model closed-loop established framework time-delay switched systems. Then, based Lyapunov stability theory,...

Owing to the deep integration of information and communication technologies, power cyber-physical systems (CPSs) have become smart but are vulnerable cyber attacks. To correctly assess vulnerability CPSs further study feasible countermeasures, we verify that a data-driven target attack on nonlinear Granger causality graph (NGCG) can be constructed successfully, even if adversaries cannot acquire configuration systems. A NGCG is unified framework for processing analysis measurement data or...

This paper proposes a method of checking wiring electric cabinets based on improved YOLOv5 and PP-OCRv3 to resolve the problems low efficiency, high manpower consumption, lengthy time-consuming manual in quality inspection stage modern industrial cabinet production. research indicates novel neural network structure called YOLOv5s-CBS that is YOLOv5s structure. The coordinated attention mechanism added C3 module backbone structure, BiFPN introduced neck loss function changed from CIoU SIoU,...

To improve the resilience of state estimation strategy against cyber attacks, Compressive Sensing (CS) is applied in reconstruction incomplete measurements for physical systems. First, observability analysis used to decide time run and damage level from attacks. In particular, dictionary learning proposed form over-completed by K-Singular Value Decomposition (K-SVD). Besides, due irregularity measurements, sampling matrix designed as measurement matrix. Finally, simulation experiments on...

This paper investigates the adaptive-event-triggered-control (AETC) for networked control systems (NCSs). Firstly, a novel adaptive event-triggered scheme (AETS) under stochastic sampling is proposed to reduce unnecessary data communication between sensor and controller, adapt variation of plant states, improve flexibility selection period. Secondly, in framework time-delay systems, closed-loop system with an AETS modelled as interval time-varying delayed system. Then, by employing Lyapunov...

This paper is concerned with the multi-target localization based on compressive sensing (CS). If orthogonal matching pursuit (OMP) applied as signal reconstruction algorithm to locate targets, there will always be a situation that only part of targets are located successfully. To solve this problem, divided multiple proposed. In data preparation stage, results single and calculated under two kinds partitioning granularity. Then, in according from can predetermined by finding clusters. Also,...

Aiming at the problem that visual simultaneous localization and mapping (SLAM) algorithm is easy to be affected by moving feature points in dynamic environment, resulting low accuracy poor robustness of pose estimation, based on architecture ORB-SLAM3, this paper proposes an RGB-D SLAM for point elimination target detection, scene flow probability update map points, adds a semantic thread, which runs parallel with other threads. The thread detects frame detected selected slam system through...