Tieshan Li

• Dalian Maritime University

The cooperative control problem for cyber-physical systems under actuator faults and denial-of-service attacks is investigated, where each subsystem can be modeled by an agent and denial-of-service attacks are viewed as attacks against the inter-agent communication. Specifically, a scenario is considered in which the communication topology loses co...

The control issue is discussed for uncertain nonlinear fractional-order systems (FOSs). In order to approximate the uncertainties existing in FOSs, fuzzy logic systems (FLSs) can be introduced and the novel fractional-order serial-parallel estimation models (FSEMs) are designed to reform the estimated behavior of FLSs. In order to prevent the issue...

This paper investigates the problem of secure control for input saturated nonlinear cyber-physical systems (CPSs) subject to faults and multi-channel non-periodic denial-of-service (DoS) attacks. First, the model is reconstructed where the nonlinear characteristics can be described by using the Takagi-Sugeno (T-S) fuzzy modeling technique. Then, wi...

The under‐actuated unmanned surface vehicle (USV) trajectory tracking control problem is examined in this paper in relation to output constraints, model uncertainties, and external disturbances. To alleviate the pressure of the limited communication bandwidth of USV at sea, this paper uses a composite quantizer to linearly describe the quantization...

This paper proposes a resilient output-feedback frequency regulation mechanism for multi-area power systems, ensuring secure and stable operation. Firstly, the uncertainties introduced by state-of-charge (SOC) variations are considered for the addressed system involved electric vehicle (EV). Subsequently, the behavior of hybrid replay-DoS attacks i...

In this article, a model-free reinforcement learning (RL) approach is proposed for solving the optimal consensus control issue of nonlinear discrete-time multiagent systems with input constraint. To address the challenge of solving the coupled discrete Hamilton–Jacobi–Bellman (HJB) equation, a RL approach based on actor–critic framework is proposed...

This paper mainly focuses on secure fault-tolerant control for nonlinear cyber-physical systems under the influence of multiple threats, i.e., sensor and actuator saturations, actuator fault, and intermittent denial-of-service attacks. A novel secure fault-tolerant control method is proposed within the Takagi-Sugeno fuzzy modeling framework, consid...

Ransomware remains one of the most significant cybersecurity threats. Techniques used by attackers have evolved to bypass traditional detection methods. Many existing detection systems rely on outdated datasets or complex behavioral analyses, which are resource-intensive and slow. This paper introduces RansomFormer, a Transformer-based model that i...

The article discusses the fixed‐time control trouble of non‐linear systems subject to uncertainties and inaccessible states. The uncertainties that appeared in the considered systems will be handled by employing fuzzy logic systems (FLSs). The introduction of the hyperbolic tangent functions effectively avoids the singularity trouble of derivatives...

In the distributed security control for air-sea heterogeneous multiagent systems (HMASs) with cooperative-antagonistic interactions, data security and transient-steady state performance of the system are two key problems. To ensure data security, an intermittent privacy preservation (IPP) mechanism is proposed for the first time. A novel setting ti...

In this study, an optimal control method is developed to handle the consensus tracking control problem of nonlinear multi-agent systems in strict-feedback form. A proposed fuzzy state observer handles unmeasured states and uncertain dynamics. The control target is achieved by a dynamic programming method based on an optimal compensation term. The a...

This paper presents a two-time-scale human-centric microgrid optimization framework, developed based on singular perturbation theory. First, a comprehensive model is constructed, integrating the electrical characteristics of microgrid components with the evolutionary dynamics of consumer behavior. Subsequently, the system is decomposed into distinc...

This paper presents a novel regulation-aware cooperative path following (CPF) control method for maritime autonomous surface ships (MASSs). The proposed method considers both the constraints of the Convention on International Regulations for Preventing Collisions at Sea and fully unknown model parameters. At the kinematic level, firstly, a distance...

This article mainly focuses on the problem of observer-based adaptive event-triggered security fault-tolerant control (FTC) for attacked cyber–physical systems (CPSs). First, for the nonlinear characteristics in CPSs, the model is reconstructed based on the Takagi–Sugeno (T–S) fuzzy modeling technique. Then, a T–S fuzzy resilient observer is propos...

This article investigates the distributed resilient energy management (EM) strategy for the seaport microgrid under stealthy attacks. First, based on an analysis of seaport microgrid characteristics, we construct an EM model that aims at minimizing both operating cost and security defense resource (SDR) cost. Second, we present a distributed, resil...

In this paper, the problem of robust fault estimation and fault‐tolerant control is considered for networked systems with external disturbances. By introducing an intermediate variable containing the system state information and fault information, the observer to accurately estimate the fault and system state is proposed. The gain matrices of fault...

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is de...

Accurate performance and low energy consumption are essential for trajectory tracking control of an underactuated surface vessel (USV) to satisfy marine operation requirements. This paper studies the user-specified optimal tracking control problem for the USV in the presence of modeling uncertainties. A fuzzy weights-based adaptive reinforcement le...

This paper utilizes a hierarchical algorithm to focus on the distributed guaranteed-performance consensus problem of multiagent systems subjected to communication faults. With this algorithm, the consensus problem can be transformed into the tracking problem of agents in adjacent layers, and the constraint range for tracking errors does not depend...

Ransomware attacks continue to pose a significant challenge to cybersecurity, causing substantial financial and reputational damage to individuals and organizations. These attacks typically encrypt user data and demand a ransom for its release. There is a growing need for more effective and dynamic detection methods, especially for zero-day and unk...

The leader-following consensus problem for input constrained multiagent systems is investigated in this article. First, the follower agents are divided into several clusters based on the connectivity of the communication topology. Then, a novel clustered time-varying dynamic event-triggered mechanism (ETM) with adjustable minimum interevent time (M...

In this article, the problem of adaptive event-triggered tracking control is investigated for a class of nonlinear multiagent systems (MASs) with asymmetric multi-information-related (MIR) constraints on all states. The fuzzy-logic systems (FLSs) are utilized to model the system unknown items by virtue of their universal approximation properties. T...

In this paper, the semi-global leader-following consensus issue of multi-agent systems with constrained input under fixed and switching topologies is investigated via a distributed gain scheduling dynamic event-triggered method. First, a novel distributed gain scheduling consensus protocol is proposed under fixed topology, which integrates time-var...

This paper is concerned with the distributed formation control problem of heterogeneous uncrewed aerial vehiclesuncrewed ground vehicles (UAVs-UGVs) systems, in the presence of practical factors such as parametric and dynamics uncertainties, external disturbances, coupled dynamics, and communication noises. First, we establish a model for the heter...

This article proposes the dynamic event-triggered and self-triggered protocols to achieve the prescribed-time consensus of a class of nonlinear multi-agent systems with a trade-off performance. Firstly, a dynamic event-triggered control protocol and a time-varying parameter are jointly designed to accomplish the prescribed-time consensus. Secondly,...

The model predictive control (MPC)-based asynchronous attack tolerant control scheme is investigated in this article for uncertain Markov jump cyber–physical systems (MJCPSs) under the Denial-of-Service (DoS) attack. To tackle the problem of the system running mode may not be observed in the control center, an asynchronous model predictive controll...

This paper investigates the finite-time-prescribed performance-based (FTPP) platoon formation control problem of unmanned surface vehicles (USVs) with connectivity preservation andcollisionavoidance.Eachvehicleissubjecttounmeasuredvelocities, model uncertainties, external disturbances and actuator input delay. By introducing a finite-time performan...

Artificial intelligence and Automatic Identification Systems (AIS) play pivotal roles in intelligent maritime navigation for the modern maritime industry. Many artificial intelligence maritime applications based on AIS data have dramatically benefited traditional operations and managements in the field of maritime industry, and also provided state-...

This paper concentrates on asynchronous thruster fault detection for unmanned marine vehicles (UMVs) under multiple cyber attacks, external disturbances and thruster fault. A novel model of multiple attacks is constructed using an asynchronous switched method by considering aperiodic denial-of-service (DoS) attacks and stochastic false data injecti...

This article investigates the observer-based human-in-the-loop (HiTL) optimal output cluster synchronization control problem for nonlinear multiagent systems (MASs). First, the leader is designed to be nonautonomous, with the unknown time-varying input monitored by the human operator directly. To address the problem that leader’s output is not avai...

With the rapid development of communication and Internet technologies, the Internet of Things (IoT) has become increasingly popular. Although IoT devices can bring more benefits to humans, there are a lot of concerns about the security and privacy of IoT devices. Even though researchers propose some prevention and detection methods for security pur...

As As an effective multi-agent system (MAS) control method, formation control is widely used in uncrewed systems, such as uncrewed surface/underwater/aerial vehicles and spacecrafts. However, the security issues of formation control have received little attention. Compared with traditional industry systems (such as smart grids or intelligence appli...

This paper presents an adaptive fixed-time command-filtered fuzzy controller design method of nonlinear stochastic systems subject to saturating input. Fuzzy logic systems (FLSs) can be utilized to fit the uncertainties. Inverse function theory is first introduced to tackle the design obstacle that exists in the input terminal, that is, saturating...

This article addresses the problem of prescribed-time optimal consensus control for a class of uncertain nonlinear multiagent systems (MASs) subject to denial-of-service (DoS) attacks over resilient event-triggered communication (RETC). First, a novel performance index function is devised to balance the convergence of consensus error and the cost o...

As the number of ships docking at ports and using onshore power grows, there is a pressing need for efficient economic dispatch within the port microgrid (PMG). The computing power network (CPN) leverages ubiquitous computing resources, presenting new opportunities for handling complex tasks, such as the economic dispatch problem (EDP) more efficie...

The shipboard power system (SPS) composed of multiple zones including both AC-SPS and DC-SPS has become the development trend of all electric ships (AES). In order to cope with the sudden drop in voltage or frequency caused by pulsed power load (PPL) in SPS, this paper proposes a model-predictive-based power management. Firstly, for the important b...

The article investigates the fixed-time dynamic surface-based adaptive composite control issue for nonlinear systems subject to unknown constants. With the help of the adaptive technology, unknown parameters for the system are approximated. Then, using the serial-parallel estimation models (SPEMs), the forecast biases and the track biases can chang...

The ship-integrated energy system (S-IES), containing power and heating networks, plays a vital role in combining renewable technologies and conventional generators to advocate the protection of environmental awareness in the marine industry. To this end, the energy management problem (EMP) of the S-IES is investigated in this article. In this way,...

This paper proposes a novel dynamic eventtriggered scheme for nonlinear multi-agent systems under denialof-service (DoS) attacks via an adaptive fuzzy resilient control method. At the beginning, fuzzy logic systems are utilized to identify the unknown system dynamics. Then, a reliable attack detection mechanism forms the basis for establishing a dy...

The article addresses the event‐triggered obstacle avoidance control problem for autonomous surface vehicles subject to actuator faults. In order to tackle the challenges presented by unknown actuator faults, internal model uncertainties, and external disturbances, we propose a fault‐tolerant control scheme that relies on an extended state observer...

This article investigates the parallel trajectory tracking control of fully-actuated maritime autonomous surface ships (MASSs) in the presence of multiple stationary/moving ocean obstacles. A safety-critical parallel control architecture is proposed for the trajectory tracking control of MASSs. Specifically, an artificial MASS system is constructed...

In this article, a novel secure fault-tolerant control (FTC) strategy is proposed to deal with the impact of multiple threats such as sparse sensor attacks, system faults, and unknown disturbances on T–S fuzzy cyber-physical systems (CPSs). First, under the assumption of 2 s -detectability, a set of robust local unknown input observers is designed...

This paper investigates the consensus control of multi-agent systems (MASs) with constrained input using the dynamic event-triggered mechanism (ETM). Consider the MASs with small-scale networks where a centralized dynamic ETM with global information of the MASs is first designed. Then, a distributed dynamic ETM which only uses local information is...

This paper surveys the recent advances in dynamic positioning (DP) control for marine crafts. DP of marine crafts means that a craft can maintain a fixed position and heading, or move along a predetermined trajectory slowly without the anchoring system, using only its own thruster system to counteract ocean disturbances. The survey is by no means e...

This paper studied the collision avoidance issue in the formation-containment tracking control of multi-USVs (unmanned surface vehicles) with constrained velocity and driving force. Specifically, based on a dual-layer control framework, it designed a multi-USV formation-containment tracking control strategy that accounts for constrained motion velo...

In this article, an adaptive reinforcement learning (RL) control problem is explored for a class of nonstrict-feedback discrete-time systems. First, different from the existing results, considering the noncausal problem which may exist in the backstepping design procedure, a universal system transformation method is first proposed for a class of no...

This paper is concerned with the problem of attack detection for unmanned marine vehicles (UMV) suffering from replay attacks. With the openness of the communication network, replay attacks occur at a higher rate and can cause severe impacts on UMV. Therefore, it is of great significance to detect replay attacks promptly and efficiently. To this en...

The interval observer, recognized as a potent tool for fault detection (FD), diverges from the adoption of fixed thresholds to enhance the timeliness and precision of detection. This study endeavors to design an FD mechanism for fuzzy cyber-physical systems (CPSs) subjected to adversarial influences based on improved attack tolerant interval observ...

In this paper, a novel and robust backstepping controller is introduced for a quadrotor system by combining an integral linear extended state observer (ILESO), an auxiliary dynamic system, and a sliding mode differentiator. The ILESO is specifically designed to observe unmeasured states and address the challenges posed by the ‘lump disturbance’, en...

This paper investigates the problem of attitude stabilization of a quadrotor unmanned aerial vehicle (UAV) in the presence of parametric uncertainty, modeling uncertainty, control input saturation and external disturbance. A fuzzy logic system (FLS) is used to approximate unknown nonlinear function, which consists of parametric uncertainty and mode...

This article presents an event-triggered distributed secondary control with predictive compensation based on the model-free predictive control under Denial-of-Service (DoS) attacks in ac/dc-networked microgrids. First, models of ac/dc networked microgrids in both electric network and communication network are established. On this premise, event-tri...

In view of the input dead‐zone, unknown control direction and difficulty in satisfying the prescribed performance that suffered in practical systems, an improved prescribed performance‐based adaptive control scheme is stressed for uncertain nonlinear systems in this paper. Firstly, by adopting a characteristic function, the input dead‐zone is linea...

Accurate lane-changing prediction is important to Advanced Driver Assistance Systems (ADAS). However, the prediction accuracy declines when the lateral motion is ambiguous during the early stage of lane change or when vehicles abruptly cease the process for safety concerns. This study proposes a variable weight combination (VWC) model to predict hu...

Modern technologies adopt Internet of Things (IoT) devices to increase water management efficiency and enhance water quality services. However, the limitations of IoT devices, such as small sizes and poor security, weaken the Water Distribution System (WDS) security, and many attackers compromise the critical components of WDS. Cyber-physical attac...

This paper investigates the safety-certified cooperative path following problem for second-order nonlinear systems with multiple-input multiple-output strict-feedback form subject to safety, state, and input constraints. A safety-certified learning control approach is proposed to achieve collision-free cooperative path following based on command op...

This paper focuses on the distributed adaptive cooperative control problem for human-in-the-loop (HiTL) heterogeneous unmanned aerial vehicle-unmanned ground vehicle (UAV-UGV) systems via an improved prescribed performance approach. A novel human motion recognition system (HMRS) is designed and integrated into the HiTL strategy. Specifically, the l...

The dynamic positioning of marine intelligent vehicles is gradually becoming the core technique to perform herculean tasks in complex sea conditions. To cope with the composite ocean disturbances and the constraint of communication resources, this paper proposes an event-triggered anti-disturbance dynamic positioning control strategy with performan...

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In the paper, an adaptive fixed-time reinforcement learning (RL) optimized control policy is given for nonlinear systems. Radial basis function neural networks (RBFNNs) are exploited to fit uncertain nonlinearities appeared in the considered systems and RL is applied under the critic-actor architecture by using RBFNNs. Specifically, a novel fixed-t...

Cooperative steering of the captain and automated system can effectively reduce the necessity of extremely accurate environment perception of intelligent surface vehicles (ISVs), and enhance the safety and fault-tolerance of decision-making and motion control. This paper presents a human-machine shared line-of-sight (LOS) path following control met...

The article proposes a dynamic time-varying event-triggered strategy to achieve semi-global finite-time rendezvous control of saturated spacecraft. The main idea of the designed dynamic event-triggered strategy is to construct the controller that contains the time-varying high-gain and a dynamic event-triggered mechanism simultaneously. Moreover, a...

To achieve the high-quality power supply of the electric propulsion ship, this paper investigates the distributed secondary control problem for AC shipboard microgrids (SMGs) under disturbances to guarantee the reliable sailing of the ship. Firstly, general noise is introduced to describe the various disturbances in the marine environment consideri...

To cope with the problem of repeatedly triggering collision avoidance conditions that collision avoidance algorithms used in containment control systems, this article investigates the reconfiguration of communication network topology for the multi-unmanned surface vehicle (USV) containment control system, which is from the perspective of algebraic...

This article presents an adaptive prescribed-time dynamic surface control approach for a differential-driven unmanned surface vehicle (USV) with fully unknown parameters, which is a cascaded control system consisting of kinematic, kinetic, and motor-driven propeller layers. First, the control design of the kinematic layer determines the virtual sur...

Phishing attacks are a major threat to online security, resulting in millions of dollars in losses. These attacks constantly evolve, forcing the cyber security community to improve detection systems. One major problem with current detection systems is that they cannot detect new phishing attacks, such as Browser in the Browser (BiTB) and malvertisi...