An-Yang LuNortheastern University (Shenyang, China) | NEU · College of Information Science and Engineering
An-Yang Lu
Doctor of Engineering
I am currently an Associate Professor in the College of Information Science and Engineering, Northeastern University.
About
43
Publications
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Introduction
An-Yang Lu received the B.S. and M.S. degrees in mathematics, and Ph.D. degree in control theory and control engineering with Northeastern University, Shenyang, China, in 2014, 2016, and 2020, respectively. He is currently a Postdoctoral Research Fellow (the Initiative Postdocs Supporting Program) with the College of Information Science and Engineering, Northeastern University, Shenyang, China. His current research interests focus on cyber-physical systems, secure state estimation.
Skills and Expertise
Publications
Publications (43)
In this article, the consensus problem for disturbed multi‐agent systems (MASs) under independent denial‐of‐service (DoS) attacks is investigated. The concerned attacks can jam different channels independently, resulting in a time‐varying and unknown network topology. In this situation, a dynamic event‐triggered control scheme with a hybrid communi...
This paper investigates the problem of attack detection for cyber-physical systems with input constraints in the presence of command and sensor attacks. For detecting a wider range of attacks, two attack detection strategies are designed, corresponding to the control center side and the controlled system side, respectively. First, from the perspect...
This paper is concerned with the secure state estimation problem of cyber-physical systems (CPSs) in the presence of sparse sensor attacks. Considering that such problem is a combinatorial problem in nature, novel saturating adaptive algorithms are proposed to reconstruct the system state from the corrupted measurements. Through introducing saturat...
This paper investigates the secure state estimation problem for cyber-physical systems (CPSs) under sparse sensor attacks. In the existing results, the secure state estimation is usually established as an NP-hard problem where combinatorial candidates should be checked since the set of attacked channels is unknown. For avoiding brute force search,...
This article investigates the stealthy false data injection attack design problem for a class of cyber physical systems equipped with state estimators and attack detectors. The objective is to worsen the estimation performance without triggering any alarm. First, a necessary and sufficient condition for the existence of perfect attacks, which alter...
This paper investigates the sparse sensor attack design problem for a class of cyber–physical systems equipped with state estimators, attack detectors and secure state estimators. Two regimes of attacks are considered: undetectable attacks and unidentifiable attacks. First, through constructing a novel attack model where adversaries make estimators...
This paper investigates the attack detection and identification problem for cyber physical systems under sparse sensor attacks. A novel candidate set construction algorithm, where only partial combinations of different channels are checked, is proposed to efficiently generate the candidate set containing all the possible sets of corrupted channels...
This paper investigates the stabilization problem for switched linear systems with all modes unstable via designing switching laws. By introducing an associated system whose stability ensures that the original switched system is stable, novel sufficient conditions for the stability of switched systems are proposed. Based on the obtained stability c...
This paper deals with the problem of resilient observer-based control for cyber-physical systems with multiple transmissions under Denial-of-Service (DoS) attacks. Instead of adopting the existing static output feedback controller, an observer-based controller is adopted. First, based on the property that the dwell-time of DoS is bounded, an interv...
This paper investigates the distributed secure state estimation problem of distributed systems where a set of agents estimates the state cooperatively in the presence of malicious agents. First, a sufficient condition for the solvability of the distributed secure state estimation problem is proposed. Second, by transforming the considered problem i...
This paper investigates malicious attacks against distributed control systems (DCSs). The objective is to analyze the potential attack mechanisms which worsen the estimation performance through compromising partial communication links. Two regimes of attacks (perfect and non-perfect attacks) are considered. First, a necessary and sufficient conditi...
This article concerns the problem of observer-based event-triggered control for cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. In contrast to the existing studies where DoS attacks on different channels are the same, the considered attacks compromise each channel independently. Correspondingly, a decentralized event-triggered...
This paper investigates the secure state estimation problem of multi-agent systems with misbehaving agents. Compared with the existing works which only consider malicious behaviors generated elaborately, a class of faulty behaviors generated randomly is also taken into account. By assuming that faulty behaviors cannot be altered by the adversaries,...
This paper investigates the resilient control problem for cyber-physical systems (CPSs) with multiple transmission channels under denial-of-service (DoS). First, a set of partial observers is designed to estimate partial states corresponding to different channels. Second, by combining the proposed partial observers, the finite-time observer techniq...
This paper investigates the secure state estimation problem of cyber–physical systems (CPSs) under sparse sensor attacks. First, a novel algorithm, which uses a switched gradient descent technique to harness the intrinsic combinatorial complexity of the secure state estimation problem, is proposed to estimate the state. The computational complexity...
Secure state estimation for cyber-physical systems (CPSs) under sparse sensor attacks is the problem of estimating the state from the corrupted measurements. Although such problem can be addressed by brute force search, combinatorial candidates lead to excessive time requirement which hinders the scalability. For reducing the computational complexi...
This paper investigates the secure state estimation problem for cyber–physical systems (CPSs) under sparse actuator and sensor attacks. By introducing the notion of orthogonal complement matrix, a necessary and sufficient condition for the state observability is provided. Then, based on the least square technique, a new projection operator is propo...
This paper investigates the problem of distributed consensus control for multi-agent systems under denial-of-service (DoS) attacks. Different from the existing results where DoS attacks on all the channels are same, in this paper, the adversaries compromise each channel independently. The objective is to design distributed controllers such that the...
This paper is concerned with the input-to-state stabilizing control problem for cyber-physical systems (CPSs) with multiple transmission channels under denial-of-service (DoS) attacks. Under the data update policy with bounded update interval, a new control scheme which discards the outdated information is proposed, and the stability analysis of CP...
This paper is concerned with network-based fault detection and isolation(FDI) observer design for a class of Takagi–Sugeno (T-S) fuzzy systems with local nonlinear models. First, by combining the original system with the FDI observer, the closed-loop systems with asynchronous membership functions are modeled. Second, a new condition is introduced i...
This paper investigates the problem of event-triggered secure observer-based control for continuous-time cyber-physical systems (CPSs) under actuator and sensor attacks. Under event-triggered scheme, the original plant is augmented into a discrete-time system, where the states and attacks are assembled into the state vector of the new system. Then,...
This paper is concerned with network-based fuzzy H ∞ control for a class of T-S fuzzy systems under an event-triggered communication scheme. Considering the fact that the network-induced delays are inevitable, the closed-loop system is modeled with asynchronous membership functions. To deal with the asynchronous membership functions, a new conditio...
This paper investigates the secure state estimation problem for cyber-physical systems (CPSs) under disturbance and sparse sensor attacks. Both the fixed and switched target attacks are taken into account. Compared with the fixed target attacks, the switched target attacks, which are not considered in most existing results, change the attack target...
This paper investigates the problem of adaptive fuzzy tracking control for a class of switched uncertain nonlinear systems under asynchronous switching. Inspired by the discretized Lyapunov function technique, a class of time-schedule Lyapunov functions (TSLFs) is first proposed to analyze the stability under asynchronous switching. Then, based on...
This paper is concerned with the problem of adaptive fuzzy tracking control for a class of switched uncertain nonlinear systems. The unknown nonlinear functions are approximated by using fuzzy logic systems, and the adaptive backstepping technique is applied to a convex combination of the subsystems. To ensure the continuousness of the Lyapunov fun...
This paper deals with the problem of adaptive fuzzy tracking control for a class of switched uncertain nonlinear systems. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, and the adaptive backstepping and dynamic surface control techniques are adopted. First, a new state-dependent switching method is proposed. By int...
This paper deals with stability analysis and control design problems for continuous-time Takagi–Sugeno (T–S) fuzzy systems. First, a new membership-function-dependent switching law is proposed and a relaxation parameter is introduced into this switching law to guarantee a minimal dwell time between two consecutive switching. Compared to the existin...
This paper investigates the problem of robust control for switched linear systems with dwell-time constraint. First, a mixed time-dependent and state-dependent switching law is proposed. The stability analysis and weighted gain analysis are proposed based on the Lyapunov–Metzler inequality method and average dwell-time technique. Then by using disc...
This paper investigates the problem of the asynchronous H∞ filtering for a class of two-dimensional(2D) Markovian jump systems with sensor failure. The asynchronous phenomenon is considered to be random mismatch between system modes and candidate filters. The mismatch behavior is assumed to be stochastic with a certain probability and a new Markov...
This paper investigates the problem of the control for a class of continuous-time Markovian jump systems with partially unknown transition rates. An adaptive performance index is defined to describe the disturbance attenuation performance of Markovian jump systems. By combining the linear matrix inequality(LMI) approach for designing controllers an...
This paper deals with the problem of robust H∞ control for linear switched systems with time-varying delay and dead-zone inputs. First, a new state-dependent switching law is proposed for the switched system with stable and unstable subsystems. Based on the proposed switching law and using the scaled small gain theorem, a more general stability cri...
This paper is concerned with the problem of the fault detection for switched T-S fuzzy systems with actuator faults. The system faults and unknown disturbances are considered to be in a finite frequency domain. An effective fault detection filter is designed to measure the fault sensitivity and disturbance robustness. By using Parseval’s theorem an...
This paper deals with the problem of the fault detection (FD) for continuous-time singular switched linear systems with multiple time-varying delay. In this paper, the actuator fault is considered. Besides, the systems faults and unknown disturbances are assumed in known frequency domains. Some finite frequency performance indices are initially int...
This paper addresses the robust H∞ control problem for continuous-time switched singular systems with uncertainties in the state, input, and derivative matrices. A two-phase method is proposed in this paper to optimize H∞ performance and to minimize the upper bound of the average dwell time. First, sufficient conditions for finding a state feedback...
This paper considers the
H
∞
fuzzy filtering problem for continuous-time nonlinear singular systems with time-varying delay through the T-S fuzzy model approach. Firstly, by combining a reciprocally convex combination lemma and the fuzzy Lyapunov-Krasovskii function method, a new bounded real lemma (BRL) is proposed such that the resultant close...