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Huaguang Zhang - IEEE Xplore Author Profile

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The issue of predictor-based neural fixed-time dynamic surface control for the nonlinear systems with unknown backlash-like hysteresis is the research focus of this article. By applying the predictor-based neural control scheme, the system nonlinear functions can be smoothly estimated. In addition, an improved dynamics surface is proposed to decrease the difficulty of the controller design procedu...Show More
This article studies a prescribed finite-time consensus problem for uncertain nonlinear multiagent systems (MASs) with event-triggered updates. First, the novel finite-time performance boundaries are proposed to ensure that consensus deviations converge to the predefined steady-state zones within a preassigned time, and by using asymmetrically parallel boundaries to constrain consensus errors to n...Show More
This brief addresses the model-free output feedback (OPFB) stability problem in load frequency control (LFC) of power system and proposes an H_{\infty } optimal control scheme considering two-player zero-sum game. Firstly, a novel policy iteration algorithm is developed to determine the optimal control gain. The convergence of this algorithm can be established using Fréchet derivatives. Secon...Show More
In this brief, a novel online near-optimal control scheme is investigated for the voltage tracking control problem of direct current (DC) microgrids under the dynamic self-triggered (DST) mechanism. First, the DC microgrid is modeled as an affine coupled system. The nonzero-sum game issue of the multi-input system is taken into account, where each distributed generator (DG) strives to minimize the...Show More
This article is centered on prescribed-time (PST) bipartite output consensus issue for the heterogeneous multiagent system (HMAS). First, a novel PST bipartite dynamic compensator is introduced to track the leader’s state within PST. Then, through dynamic compensator, a novel PST bipartite controller is developed. The significant advantage of this control scheme is that it can achieve precise trac...Show More
This article studies the modeling method of false data injection attacks (FDIAs) considering topological changes and relevant countermeasures. A novel robust FDIA model is built, which incorporates network and measurement uncertainties into the attack subnet and can be applied to attack scenarios during topological changes. To tackle such FDIAs, a flexible dynamic time warping strategy-based distr...Show More
In this brief, an adaptive dynamic programming (ADP)-based self-triggered control (STC) method was proposed to address the optimization control problem of power buffer systems in DC microgrids. The optimization control problem of power buffers is addressed in the framework of non-zero sum games to ensure mutual cooperation among power buffers. In the proposed STC mechanism, the next triggering mom...Show More
This paper is concerned with the sliding mode predictive control problem for the load frequency control (LFC) of interconnected power systems with input delays and load disturbance. To deal with input delays, unknown disturbance, the interconnected influence existing simultaneously in power systems, the state-observer and disturbance-observer are respectively designed by employing the reduction tr...Show More
Magnetic flux leakage (MFL) detector can analyze the state of pipelines and is widely used in pipeline inspection. Object detection of class extremely imbalanced MFL signals is a challenging and demanding task. It is difficult for existing deep learning-based detection methods to effectively detect a small number of component classes. To address the above issues, a novel masked multi-view bidirect...Show More
The power fluctuation and system inertia degradation in a short time put forward higher requirements on the rapidity and robustness of frequency control. This paper proposes an online multiplayer Stackelberg game control framework to achieve frequency control of multi-area power system with the uncertainties of load, renewable energy and line loss. Firstly, an optimal frequency control model incor...Show More
This research considers the predefined-time adaptive fuzzy formation control issue for high-order nonlinear multi-agent systems. By applying fuzzy logic systems, the systems unknown nonlinear functions can be approximated. To refrain from “explosion of complexity problem”, a novel dynamics surface for high-order nonlinear multi-agent systems is presented. Further, to minimize the communication bur...Show More
Developing an online pipeline magnetic flux leakage (MFL) weld defect detection method deployed in industrial sites is essential to expedite the localization and repair of defects. However, most existing methods suffer from large computational burdens, which hinder their deployment on resource-limited industrial personal computers (IPCs) in sites. Additionally, weld defects in MFL signals exhibit ...Show More
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 connectivity of the system topology. By analyzing ...Show More
The problem of the large-scale interconnected system (LSIS) control is prevalent in practical engineering and is becoming increasingly complex. In this article, we propose a novel decentralized event-triggered tracking control (ETTC) strategy for a class of continuous-time nonlinear LSIS with unmatched interconnected terms and asymmetric input constraints. First, auxiliary subsystems are establish...Show More
Localizing small leakage within pipeline systems represents a significant challenge due to the unclear characteristics of the associated signals. This article proposes a novel localization method designed to accurately pinpoint small leakages by exploiting the attenuated characteristics of the negative pressure wave (NPW). This approach transforms the localization problem into an optimal consensus...Show More
This article investigates the distributed constrained optimization problem with event-triggered communication over time-varying weight-unbalanced directed graphs. A more generalized network model is considered where the communication topology may be variable and unbalanced over time, the information flows across agents are subject to time-varying communication delays, and agents are not required t...Show More
The problem of limited samples with missing information is an open challenge in data-driven fault diagnosis. Existing work has limited application in this field, since the reconstructed missing samples participating in sample generation may hurt the quality of the generated samples. To address this issue, the joint modeling of sample reconstruction and sample generation is proposed. First, the dif...Show More
This article considers the predefined-time composite adaptive attitude control problem for nonlinear multiple six-rotor unmanned aerial vehicles (UAVs) with external disturbance. The multiple six-rotor UAVs considered are regarded as nonlinear multiagent systems, and each subsystem has multiple inputs. Via the backstepping recursive algorithm, a valid adaptive predefined-time control method is pro...Show More
This article investigates the position and attitude trajectory tracking control problem of quadrotor unmanned aerial vehicle (UAV) formation. A distributed optimal control protocol is proposed for UAVs formation to cooperatively complete the tracking tasks under unknown external disturbances. First, the concrete UAV dynamic model is established, and the UAV position and attitude loop controllers a...Show More
This article investigates an optimized containment control problem for multiagent systems (MASs), where all followers are subject to deferred full-state constraints. A universal nonlinear transformation is proposed for simultaneously handling the cases with and without constraints. Particularly, for the constrained case, initial values of states are flexibly managed to the midpoint between upper a...Show More
In this article, a novel fault reconstruction algorithms for fractional-order nonlinear switching systems (FONSSs) with actuator and sensor faults are investigated. First, fractional-order nonlinear system (FONS) with faults, is transformed into two fast and slow subsystems using global differential homogeneous transformation, one of which is unaffected by the fault and the state is partially obse...Show More
This article studies the containment control problem of nonlinear multiagent systems (MASs) subjected to communication link faults and dead-zone inputs. In case of an unknown fault in the communication link, there is no constant Laplacian matrix anymore and each follower agent cannot be informed of the global information simultaneously. To deal with this problem, an adaptive compensating estimator...Show More
Based on both the kinematic and the dynamic models of Wheeled Mobile Robots (WMRs), an optimal circumnavigation controller around moving targets is proposed by integrating backstepping control with adaptive dynamic programming (ADP) techniques. Initially, the cooperative circumnavigation challenge at the kinematic level is converted into a tracking task for the desired relative velocity by establi...Show More
This article proposes a practical and generalizable object detector, termed feature extraction-fusion-prediction network (FEFP-Net) for real-world application scenarios. The existing object detection methods have recently achieved excellent performance, however they still face three major challenges for real-world applications, i.e., feature similarity between classes, object size variability, and...Show More
This article investigates the optimal control problem for the discrete-time (DT) nonlinear semi-Markovian jump systems (s-MJSs) that possess unknown dynamics. The study uses the semi-Markovian kernel approach to address the problem of mode-switching in these systems. This approach employs the transition probability and the sojourn-time distribution function to jointly determine the transitions bet...Show More