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This paper investigates the composite anti-disturbance control problem for the interconnected Semi-Markovian systems with multiple disturbances and actuator faults, where the state signal of each subsystem is quantized by logarithmic quantizer before being transmitted into controller. Two representative types of external disturbances are considered simultaneously, one is norm-bounded and the other is formulated by an exogenous system. To attenuate the modelling disturbance and diagnose the actuator faults, a distributed disturbance observer with fault diagnosis observer is constructed. Then, the composite quantized control methodology is proposed to compensate disturbances and faults, and stabilize the overall system. On the basis of proper Semi-Markovian Lyapunov-Krasovskii functional, some sufficient criterions are derived to ensure the stochastic stability with a prescribed performance. Moreover, the desired observer and controller gain matrices can be attained via linear matrix inequalities (LMIs) technique. Finally, a simulation example is given to demonstrate the feasibility and effectiveness of theoretical results. [ABSTRACT FROM AUTHOR]

This paper is concerned with the security consensus control issue for discrete-time multiagent systems (MASs) on the basis of a reinforcement learning (RL) approach. Considering the effects of denial-of-service (DoS) attacks, a novel control protocol is proposed to deal with the H ∞ consensus problem. Firstly, a Q -learning algorithm is put forward under the directed graph, which can obtain the target gain matrices without any system dynamics information. In addition, the obtained gain matrices and Lyapunov function are employed to demonstrate that the MASs can reach security consensus. Moreover, the proof of H ∞ consensus under undirected graphs is derived using the designed Q -learning algorithm. In the end, the simulation experiments are given to verify the correctness of the designed control strategy. [ABSTRACT FROM AUTHOR]

The issue of H ∞ state estimation is addressed for complex networks (CNs) with inner coupling disturbance (ICD) while utilizing adaptive-frequency event-triggered mechanism (AFETM) and multi-channel random access protocol (MRAP). To maintain transmission frequency as much as possible while reducing data transmission, the proposed AFETM dynamically modifies the threshold based on the historical number of transmissions within a defined time interval. Data transmission after AFETM is scheduled by the MRAP, which enables the random selection and transmission of multiple signals, thereby avoiding network conflicts and congestion. The primary objective is to devise a estimator that guarantees the estimation errors meet the prescribed H ∞ performance. The attainment of sufficient conditions to achieve this objective involves the utilization of stochastic analysis. On this basis, the expected estimator gain is determined through the solution of the backward coupled difference equations. Ultimately, the performance of the devised estimator is validated by simulation. [ABSTRACT FROM AUTHOR]

This paper focuses on the design of H ∞ filter for a class of discrete-time networked systems. Given that the network communication resources are becoming limited with the ever-increasing network traffic, an adaptive event-triggered mechanism (AETM) is adopted for the systems to mitigate the pressure of network bandwidth. The considered discrete-time networked systems are envisioned to suffer from both Deception attacks and denial-of-service (DoS) attacks, thereby a novel hybrid cyber attacks model is firstly constructed to integrate the two kinds of attacks. Then, a filtering error system model is established for the discrete-time networked systems under AETM and hybrid cyber attacks. Based on the constructed model, the sufficient conditions that guaranteeing the asymptotic stability and H ∞ performance of the concerned filtering error system are analyzed based on Lyapunov–Krasovskii stability theory. Furthermore, the corresponding parameters of the designed filter are derived by solving a set of linear matrix inequalities (LMIs). The effectiveness of the designed filter is finally demonstrated by conducting a numerical example. [ABSTRACT FROM AUTHOR]

In this paper, the design problem of full-order fault estimation observer is investigated for a class of delta operator switched systems. Based on the definition of D − stability for delta operator switched systems, the full-order fault estimation observer and the mode-dependent average dwell time (MDADT) are designed to guarantee the D − stability and the H ∞ performance for the augmented system. For this, the regulating factor is introduced in the full-order fault estimation observer and it is the key factor to realize the D − stability. A flight switched system is finally employed to validate the effectiveness of the proposed approaches. [ABSTRACT FROM AUTHOR]