Dong Yue

Event-based fault detection for networked systems with communication delay and nonlinear perturbation

Abstract This paper is concerned with the event-based fault detection for the networked systems with communication delay and nonlinear perturbation. We propose an event-triggered scheme, which has some advantages over existing ones. The sensor data is transmitted only when the specified event condition involving the sampled measurements of the plant is violated. An event-based fault detection model is firstly constructed by taking the effect of event-triggered scheme and the network transmission delay into consideration. The main purpose of this paper is to design an event-based fault detection filter such that, for all unknown input, communication delay and nonlinear perturbation, the error between the residual signal and the fault signal is made as small as possible. Sufficient conditions for the existence of the desired fault detection filter are established in terms of linear matrix inequalities. Based on these conditions, the explicit expression is given for the designed fault detection filter parameters. A numerical example is employed to illustrate the advantage of the introduced event-triggered scheme and the effectiveness of the proposed method.

Distributed event-triggered control of discrete-time heterogeneous multi-agent systems

Abstract This paper investigates the consensus problem for a set of discrete-time heterogeneous multi-agent systems composed of two kinds of agents differed by their dynamics. The consensus control is designed based on the event-triggered communication scheme, which can lead to a significant reduction of the information communication burden in the multi-agent network. Meanwhile, only the communication between the agent and its local neighbors is needed, therefore, the designed control is essentially distributed. Based on the Lyapunov functional method and the Kronecker product technique, a sufficient condition is obtained to guarantee the consensus of heterogeneous multi-agent systems in terms of linear matrix inequality (LMI). Simulation results illustrate the effectiveness of the developed theory in the last.

Robust control for Markovian jump systems with partially known transition probabilities and nonlinearities

Abstract This paper investigates robust H ∞ controller design for Markovian jump systems (MJSs) with partially known transition probabilities (TPs) and nonlinearities. A general nonlinearity model is proposed, the generalization lies in three aspects: (1) the nonlinearities include both state and delayed state information; (2) the nonlinearities satisfy sector-bounded conditions; (3) apart from the lower and upper bounds, the probability information of the nonlinearities belonging to different sector bounds is utilized. The MJSs are considered with some of the TPs completely unknown, which can cover the MJSs with completely known TPs and completely unknown TPs as special cases. It should be noted that the relationship between known and unknown TPs is utilized, which can reduce the conservatism of the results. By using the Lyapunov functional method, sufficient conditions are derived. At last, two simulation examples show the application and effectiveness of the proposed method.

Decentralized adaptive neural output feedback control of a class of large-scale time-delay systems with input saturation

Abstract A decentralized adaptive neural output feedback control scheme is presented for a class of large-scale time-delay systems with saturating inputs. The observer is constructed to estimate the immeasurable states of the system and the auxiliary system is designed to compensate the nonsmooth nonlinearities of input saturation constraints. Also, the control strategy is developed by the backstepping recursive method combining with neural networks (NNs) for the approximation of the unknown functions and dynamic surface control (DSC) technique for the well known ‘explosion of complexity’ problem. The advantage of this scheme is that it only relies on the output information of the system and there is no requirement for exact priori knowledge about the system parameters. It is proved that the control approach guarantees all signals in the closed-loop system uniformly ultimately bounded. Simulation results are provided to demonstrate the effectiveness and usefulness of the proposed strategy.

H∞ tracking control of nonlinear networked systems with a novel adaptive event-triggered communication scheme

Abstract This study investigates the problem of tracking control of nonlinear fuzzy systems with a limited network communication. A new adaptive event-triggered data transmission scheme is proposed to save the limited network bandwidth. The threshold of event-triggered condition has a great influence on the rate of data releasing. Different from the conventional method by presetting the threshold as a fixed value, the threshold, in this study, is regulated by the error state of nonlinear systems and the reference model adaptively, which denotes that the rate of data releasing is followed by the external variation. By constructing a proper Lyapunov function with consideration of the proposed adaptive event-triggering condition, an off-line co-design method to achieve the fuzzy controller gains and the parameters of event-triggering condition is developed. An example of Duffing forced-oscillation system with the limited network communication tracking the states of linear reference model is applied to demonstrate the effectiveness of the proposed method.

Distributed cooperative control for multiple photovoltaic generators in distribution power system under event-triggered mechanism

Abstract This paper investigates the distributed event-triggered cooperative control for multiple photovoltaic (PV) generators in distribution power system. Considering the issue of limited bandwidth of communication network in practical application, two types of novel distributed event-triggered mechanism are introduced to reduce the information transmission pressure, and the distributed cooperative controllers are designed for PV generators based on the proposed triggering schemes. Under the control strategy, the fair utilization of all PV generators is realized, and the active power flow across certain transmission line and the voltage of critical bus can be restored. Simulation results show the effectiveness of the proposed method.

Observer-based control for networked systems with event-triggering predictive scheme

This paper studies the observer-based event-triggered predictive control problem for networked control systems (NCSs). First, we propose a discrete event-triggered transmission scheme for the observer by introducing a quadratic event-triggering function. Then, based on the above scheme, a novel class of event-triggered predictive control algorithms on the controller node are designed for compensating for the communication delays actively and achieving the desired control performance while using less network resources. The closed-loop systems with the proposed observer-based event-triggered predictive control scheme for the analysis are established correspondingly. The design problems of the controller and the event-triggering parameter are discussed by using the linear matrix inequality (LMI) approach and the switching Lyapunov functional method. Finally, a practical example is employed to demonstrate the compensation effect for the communication delays with the proposed scheme in this paper.

Event-triggered predictive control for networked systems with communication delays compensation

This paper addresses the event-triggered predictive control problem for networked control systems (NCSs). First, we propose a discrete event-triggered transmission scheme on the sensor node by introducing a quadratic function. Then, based on the above scheme, a novel class of event-triggered predictive control algorithms on the controller node are designed for compensating for the communication delays actively and achieving the desired control performance while using less network resources. Two cases in terms of the communication delays are considered respectively. For the two cases, the closed-loop systems with the proposed event-triggered predictive control scheme for the analysis are established correspondingly. The co-design problems of the controller and event-triggering parameter are discussed by using the linear matrix inequality (LMI) approach and the (switching) Lyapunov functional method. Finally, a practical example is employed to demonstrate the effects of the proposed scheme.

Decentralized adaptive event-triggered H∞ filtering for a class of networked nonlinear interconnected systems

This paper focuses on the issue of designing an adaptive event-triggered scheme to the decentralized filtering for a class of networked nonlinear interconnected system. A novel adaptive event-triggered condition is proposed by constructing an adaptive law for the threshold. This new type of threshold mainly depends on the error between the states at the current sampling instant and the latest releasing instant, by which the data release rate is adapted to the variation of the system. The limitation of network bandwidth is alleviated on account of a large amount of “unnecessary” packets being dropped out before accessing the network. Sufficient conditions are derived such that the overall filtering error system under the proposed adaptive data-transmitting scheme is asymptotically stable with a prescribed disturbance attenuation level. An example is given to show the effectiveness of the proposed scheme.

Decentralized adaptive pinning control for cluster synchronization of complex networks in the presence of delay-coupled and noise

This paper studies the pinning control for cluster synchronization of complex networks in the presence of coupling delay, and perturbation by noise. We propose a novel decentralized adaptive pinning control scheme for cluster synchronization of complex networks using a local adaptive strategy on both coupling strengths and feedback gains. The stochastic LaSalle invariance principle is employed to theoretically prove the almost certain synchronization of complex networks. An example is examined to illustrate the proposed synchronization scheme and demonstrate its effectiveness.