Showing papers by "Huaicheng Yan published in 2015"
TL;DR: Some novel criteria for the asymptotic stability analysis and L2 state feedback controller design method of the event-triggered NCSs with quantizations and time-varying delay are established to guarantee a prescribed L2 disturbance rejection attenuation level γ by using Lyapunov–Krasovskii function approach.
Abstract: This paper deals with L2 controller design problem for event-triggered networked control systems (NCSs) with quantizations. The system state is periodically sampled and quantized. A new model of NCSs that involves the network conditions, state and event-triggered communication strategy is proposed. Based on this model, some novel criteria for the asymptotic stability analysis and L2 state feedback controller design method of the event-triggered NCSs with quantizations and time-varying delay are established to guarantee a prescribed L2 disturbance rejection attenuation level γ by using Lyapunov–Krasovskii function approach. Finally, a simulation example is provided to illustrate the effectiveness of the proposed method. It is shown that the average transmission interval could be increased substantially while the control performance is maintained.
70 citations
TL;DR: Some novel criteria for the robust asymptotic stability analysis and control synthesis of the event-triggered networked T–S fuzzy systems are established in terms of matrix inequalities.
54 citations
TL;DR: It is shown that under the proposed control protocols, consensus can be reached if the underlying communication graph of the multi-agent systems is connected and both the computation cost and communication cost are saved.
Abstract: This paper investigates the consensus problem of a class of multi-agent systems with single-integrator. Two novel distributed event-triggered control schemes are developed, which can reduce the frequency of the controller updates and the communication load. It is shown that under the proposed control protocols, consensus can be reached if the underlying communication graph of the multi-agent systems is connected and both the computation cost and communication cost are saved. Finally, the effectiveness of the theoretical results is illustrated by a simulation example.
43 citations
01 Oct 2015
TL;DR: The purpose of the addressed problem is to design a fault detection filter such that, the fault detection dynamic system is exponentially stable in the mean square, and the error between the residual value and fault value is made as small as possible.
Abstract: This paper is concerned with the H∞ fault detection (FD) for a class of networked systems with random packet losses, sensor saturation and multiplicative noises. The network with both output measurement and control packet losses is modeled with two independent Bernouli distributed white sequences. H∞ filtering theory is adapted to formulate the problem of fault detection for networked systems. The output measurement is affected by sensor saturation which is described by sector-nonlinearities, and the multiplicative noises are modeled as a form of Gaussian white noise. The purpose of the addressed problem is to design a fault detection filter such that, the fault detection dynamic system is exponentially stable in the mean square, and the error between the residual value and fault value is made as small as possible. A sufficient condition for FD filter is derived by solving the linear matrix inequality (LMI). Finally, a numerical example is illustrated to show the effectiveness of the designed method.
1 citations