With the aim to solve leader-following consensus problem for a class of strict-feedback multiagent systems with unknown disturbances and input saturation under directed topology, this paper proposes distributed event-triggered control approach based on disturbance observer.First, designs observer estimate disturbances, then combining dynamic surface adaptive backstepping approach, is obtained.Second, relative threshold strategy adopted limited communication resources.Using compensation...

This paper investigates the secure consensus tracking problem for continuous-time nonlinear multiagent systems with sensor attacks. By designing a data selector, unattacked output is extracted from group of measurements under sparse Then, by virtue obtained and neural networks, state observer constructed to estimate unavailable system states, where convex combination theory introduced reduce difficulty solving observation gains. To utilize limited communication resources reasonably, novel...

This study is aimed at addressing the event-based state estimation and tracking control problems for a class of nonlinear systems, output which measured by multiple sensors, but adversary can manipulate nearly half measurements simultaneously. First, sampled-data-based event-triggered strategy developed to reduce unnecessary data transmissions under sparse sensor attacks, transmitted are filtered selector obtain reliable data. Subsequently, an output-prediction-based continuous-discrete...

This paper investigates the distributed event-triggered consensus tracking control problem for nonlinear multi-agent systems in presence of intermittent attacks on both intra- and inter-agent communication channels. Intermittent are characterised by their ability to manipulate channel transmission factor disrupt reliability communication. First, address that agent model knowledge is unknown, a dynamic linearisation method introduced transform models into equivalent linear depend only agents'...

In this article, we study an event-triggered asymptotic tracking control problem for a class of networked nonlinear systems with unmeasurable states. contrast to the majority existing results, where only input or output signal is triggered, design dual-channel mechanism studied achieve more comprehensive saving communication resources. Subsequently, in order reconstruct system states, continuous-discrete observer that can convergence estimation errors constructed based on output. Then,...

In this article, we investigate the problem of event-triggered state estimation and tracking control for a class nonlinear networked systems subject to measurement disturbances dynamic sparse attacks, where an attacker can select manipulate some measurements in time-varying manner. First, voting-based secure mechanism is constructed reduce transmission data under attack. Second, considering effect disturbances, two output algorithms are proposed estimate actual system from transmitted data....

The situation of interest is where a vehicle equipped with multiple sensors to measure the distance leading but does not need obtain data from speed and acceleration sensors. measurements are susceptible asynchronous sampling noise, nearly half which may be manipulated by malicious attackers. In this situation, event-triggered vehicle-following control problem nonlinear autonomous vehicles unknown parameters studied. First, secure mechanism that can resist manipulation devised alleviate...

Abstract This paper proposes a data‐driven bipartite leader‐following consensus strategy for class of nonlinear multi‐agent systems (MASs) under external disturbances and hybrid attacks, which are composed denial‐of‐service attacks false data injection attacks. algorithm incorporates no system dynamics only utilizes the input output generated by controlled plant. First, MAS with can be transformed into an equivalent linear model applying revised dynamic linearization method. Second,...

The dynamic event-triggered (DET) formation control problem of a class stochastic nonlinear multi-agent systems (MASs) with full state constraints is investigated in this article. Supposing that the human operator sends commands to leader as input signals, all followers keep through network topology communication. Under command-filter-based backstepping technique, radial basis function neural networks (RBF NNs) and barrier Lyapunov (BLF) are utilized resolve problems unknown terms...

In this work, an observer-based sliding mode control strategy is proposed for a discrete-time nonlinear multiagent systems (MASs) with unknown disturbance. Only some agents are capable of acquiring the reference trajectory, and dynamic models unknown. Unlike traditional model-based consensus protocol, method data-driven solely dependent on input/output (I/O) data agents. The stability ensured by theoretical analysis simulation outcomes ultimately validate viability developed approach.

The leader–following consensus issue is investigated for multiagent systems under external disturbances and denial-of-service (DoS) attacks. DoS attacks are considered to be designed according an unknown attack strategy would block the communication network. First, a novel triggering mechanism save resources during normal periods by event-triggered detect end of time-triggered strategy. Then, set estimators constructed predict states agent itself its neighbors when occurs. do not contain...