YangQuan Chen

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Verified

YangQuan verified their affiliation via an institutional email.

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• Ph.D.
• Professor (Full) at University of California, Merced

The ICFDA 2025 Conference on Fractional Differentiation and its Applications is a specialized conference on fractional-order calculus and its applications. It is a generalization of the integer-order ones. The fractional-order differentiation of arbitrary orders takes into account the memory effect of most systems. The order of the derivatives may...

The concepts and techniques of fractional calculus (FC) have been increasingly used in the modeling and design of electrical components and circuits. Current research on fractional-order (FO) modeling focuses mainly on low-order converters. Since the FO characteristics of real inductors and capacitors can significantly affect the dynamic performanc...

Chaotic behavior and memory-dependent dynamics in fractional-order brushless DC motors (FOBLDCMs) pose significant challenges for robust and stable control design, particularly when physical constraints such as actuator saturation and rate limitations are present. Existing control frameworks often neglect these nonlinear limitations, resulting in p...

In this research, a fractional-order sliding mode (FSM) control technique is presented to enhance the system performance of a grid-connected photovoltaic (PV) power plant under dynamic operational conditions. Performance of the elaborated controller is validated through various real-world scenarios. A comparison that includes tracking capability, d...

This paper presents an experimental comparison of the active disturbance rejection control (ADRC) strategies. In this line, linear ADRC (LADRC) with a fractional-order observer and internal model control (IMC)-based LADRC are designed for the electromechanical system. The system requirements for the design steps are discussed, and the parameterizat...

This paper introduces a distributed online learning coverage control algorithm based on sparse Gaussian process regression for addressing the problem of multi-robot area coverage and source localization in unknown environments. Considering the limitations of traditional Gaussian process regression in handling large datasets, this study employs mult...

Fractional-order stochastic gradient descent (FOSGD) leverages fractional exponents to capture long-memory effects in optimization. However, its utility is often limited by the difficulty of tuning and stabilizing these exponents. We propose 2SED Fractional-Order Stochastic Gradient Descent (2SEDFOSGD), which integrates the Two-Scale Effective Dime...

The integration of proton exchange membrane water electrolyzers (PEMWEs) with renewable energy sources is pivotal for advancing sustainable hydrogen production. Digital twins (DTs) offer significant benefits by providing real-time virtual representations of physical electrolyzers without disrupting operations. However, conventional DT frameworks of...

In this paper, we investigate the stabilization problem of a class of uncertain nonlinear cyber‐physical systems (CPSs) under random denial‐of‐service (DoS) attacks with average frequency and duration constraints. This investigation presents a rapid exponential stabilization‐based robust adaptive control (RESRAC) scheme with a corresponding update...

From the perspective of control theory, the gradient descent optimization methods can be regarded as a dynamic system where various control techniques can be designed to enhance the performance of the optimization method. In this paper, we propose a prescribed finite-time convergent gradient flow that uses time-varying gain nonlinear feedback that...

Fractional-order stochastic gradient descent (FOSGD) leverages a fractional exponent to capture long-memory effects in optimization, yet its practical impact is often constrained by the difficulty of tuning and stabilizing this exponent. In this work, we introduce 2SED Fractional-Order Stochastic Gradient Descent (2SEDFOSGD), a novel method that sy...

Short-term electrical load series forecast plays an essential role in energy demand management, however power consumption data are non-stationary, nonlinear and multi-dimensional series, leaving prediction a difficult task. Recently, fractional- order partial differential equations are attracting attention as they have been successfully utilized to...

The co-evolutionary research of complex network propagation dynamics systems has gradually become a hot topic in domestic and international research in recent years. This article reviews the research progress of epidemic dynamics systems and public opinion dynamics systems, providing a theoretical basis and knowledge reserve for the co-evolutionary...

Actuator saturation and time delay are practical issues in practical control systems, significantly affecting their performance and stability. This paper addresses, for the first time, the stabilization problem of fractional-order (FO) nonlinear systems under these two practical constraints. Two primary methodologies are employed: the vector Lyapun...

This research explores the dynamics of vegetation patterns under changing environmental conditions, considering the United Nations Sustainable Development Goal 15: “Protect, restore, and promote the sustainable use of terrestrial ecosystems; combat desertification; halt and reverse land degradation; and prevent biodiversity loss”. In this context,...

This paper investigates the finite-time stability of a class of fractional-order switched systems with order 0<α<1, employing the fractional Lyapunov direct method. First, based on the Mittag-Leffler function and Gronwall inequality, two corresponding sufficient conditions are presented to ensure the finite-time stability of the considered system....

To handle and manage battery degradation in electric vehicles (EVs), various capacity estimation methods have been proposed and can mainly be divided into traditional modeling methods and data-driven methods. For realistic conditions, data-driven methods take the advantage of simple application. However, state-of-the-art machine learning (ML) algor...

A variable fractional-order (VFO) fuzzy sliding mode controller is designed to control the speed of a permanent magnet synchronous motor (PMSM). First, a VFO sliding mode surface is established. Then, a VFO fuzzy sliding mode controller is designed, capable of suppressing the effects of parameter uncertainties and disturbances to achieve precise PM...

This paper proposes non-fragile leader-follower consensus control for variable fractional-order multi-agent systems under disturbance generated by an exogenous system. The developed technique is directly applicable to fixed fractional-order and to integer-order multi-agent systems. Firstly, a non-fragile variable fractional-order disturbance observ...

This paper presents a complex-order quantum-behaved particle swarm optimization (CoQPSO) algorithm, aiming at improving the local exploitation and global exploration abilities of existing optimization methods. The core of the CoQPSO is the adoption of complex-order derivatives within the particles' position adaptation mechanisms. The complex-order...

The widespread utilization of electric vehicles depends on the advancement and optimization of fast battery charging technology. To tackle the dual challenges of attaining rapid charging while guaranteeing safety, a novel safety-enhanced fast charging strategy for lithium-ion batteries (LIBs) is presented, utilizing a thermal and health-aware safe...

This article proposes a Smith-like active disturbance rejection control (SLADRC) for a class of overdamped processes composed of multiple first-order inertial components, where the idea of the SLADRC comes from Smith predictor. The design principle of SLADRC is presented and its stability analysis is carried out theoretically, where the estimation...

This paper investigates the dynamical characteristics and synchronization of the unified chaotic system with Caputo-Hadamard fractional derivative. The dynamical behavior of the considered system is discussed through phase diagrams and Lyapunov exponents. Chaos synchronization of fractional unified chaotic systems is studied by utilizing the drive-...

In this paper, an important property of fractional order operators involving discontinuous functions is discussed, First, a pioneering work of impulsive fractional differential equations is recalled to illuminate the incorrectness of notation \({^C_{t_k}D}^{q}_t\). Second, a class of piecewise-defined equations with Caputo fractional derivative is...

This article focuses the denitrification processes control of selective catalytic reduction, which faces great challenges caused by high-order dynamics, strong nonlinearity, wide-range load variations, and multisource disturbances. A modified active disturbance rejection control based on gain scheduling (MADRC-gs) is proposed. A parameter-switching...

Switched adaptive laws for parameter estimation have been proposed in recent years to improve the balance between control energy and system performance in adaptive schemes, which is often a big issue when using traditional integer-order or fractional-order adaptive laws in adaptive identification and control. These switched adaptive laws are repres...

In the multi-robot swarm control algorithm, the traditional rigid formation algorithm has low formation redundancy, and it is difficult to flexibly adapt to the external environment. In this study, centroidal Voronoi tessellation (CVT) was used to control a group of robots for forming the required flexible formations and increasing the structural r...

In this paper, the stability and l∞-gain problem are investigated for the Nabla discrete fractional linear positive systems with bounded time-varying delays. First, a sufficient condition and a necessary condition are presented to ensure the system’s positivity. Then, based on the system’s positivity property, an asymptotically stable condition is...

This paper presents the analysis of four error models that can appear in the field of adaptive systems, where adaptive laws for parameter estimation are represented as fractional order differential equations whose order can switch between an order within the range (0,1) and 1. These switched adaptive laws have been proposed in the past few years to...

This article studies the leader–follower weighted consensus control for a class of one-sided Lipschitz (OSL) nonlinear fractional-order (FO) multiagent systems (FOMASs) with norm-bounded time-varying parametric uncertainty and time delay. First, it addresses a more complex nonlinear form, known as the OSL nonlinearity condition, which has recently...

Indium seals have been used extensively in ultra-high vacuum and cryogenic applications. Typically, these seals use indium alongside or in place of other metal gaskets in stainless-steel vacuum flanges, with some custom applications for flanges sealing directly with glass (optics or tubes). Here, we present the design and performance of three press...

Time-delay characteristics of various industrial processes may degrade the stability and dynamic performance of the control systems. Aiming at the problems of the existing methods in dealing with the time delay plant, a modified fractional-order proportional–integral–derivative (FOPID) controller for the first-order plus time-delay (FOPTD) system i...

The current and speed dual-loop control strategy based on field-oriented control for surfaced permanent magnet synchronous motors (SPMSM) is widely applied in high-performance industrial sectors. This paper presents a systematic control framework for SPMSM dual-loop that includes a resonant-model-based extended state observer and a feedback control...

Energy storage systems (ESSs) are crucial for managing renewable energy fluctuations. Knowing ESSs' states is vital for thermal management. This paper presents a robust design synthesis approach, leveraging a physics-informed generalized observer (GO), for enhancing the process state monitoring in ESSs. The proposed GO takes advantage of the inhere...

The use of a digital twin as an enabling technology for industry 4.0 provides control systems engineers with novel tools for modelling, designing, and controlling complex systems, providing a deep understanding of the physical asset based not only on its physics but also the real system’s response. It is particularly critical for uniformity tempera...

The plasma process plays a pivotal role in the semiconductor industry, facilitating the creation of transistors and memory storage cells. This fourth state of matter is achieved by energizing a gas with radio-frequency electrical power, initiating and maintaining a stable plasma during the process cycles. Given that plasma behaves as an impedance c...

In this paper, we mainly consider two kinds of perturbed accelerated gradient descents driven by Lévy perturbations, which is of great importance for enhancing the global search ability. By using Lévy representation, Lévy perturbations can be divided into two parts: small jumps and large jumps, whose properties are then carefully discussed. By intr...

The existing active disturbance rejection control (ADRC) method may not provide sufficient disturbance rejection to multiple mismatched disturbances for the fractional order systems. In this paper, a composite disturbance rejection approach is developed for a class of fractional order uncertain systems, by synthesizing the fractional order ADRC (FO...

This paper proposes an active disturbance rejection control (ADRC) architecture for a permanent magnet synchronous motor (PMSM) position servo system. The presented method achieved enhanced tracking and disturbance rejection performance with a limited observer bandwidth. The model-aided extended state observer (MESO)-based ADRC was designed for the...

Developing accurate mathematical or data-driven models for effective controller design under dynamic variable conditions becomes increasingly challenging. For this reason, the concept of a digital twin (DT) as a virtual representation of a physical asset has been introduced as a tool for process modelling, design, and control implementation while p...

Modeling and control of epidemic-like spreading processes, such as contagions, rumors or products in complex networks, holds profound significance for understanding transmission mechanisms, formulating effective prevention and optimizing resource allocation. This paper investigates the optimal control problems for competing processes modeled by fra...

Current measurement error causes periodic speed ripple in permanent-magnet synchronous motor control systems. The typical normalized extended state observer (NESO) can estimate and compensate for the load disturbance but is not sufficiently capable to deal with the periodic disturbances. Thus, a speed controller based on the NESO frame, combining a...

This paper presents a data-driven approach to assess the controllability of nabla discrete fractional-order systems. The paper also proposes a data-driven approximation method for these systems, grounded in behavioral system theory. Instead of identifying a model that replicates the input-output dynamics, a direct modification is applied to the col...

This book presented the concept and importance of smart big data toward digital agricultural applications. Smart big data in agricultural applications is an interdisciplinary research topic related to the extraction of meaningful information from plant physiology data, drawing techniques from a variety of fields, such as UAV image processing, deep...

This chapter presents an in-depth investigation into the tree-level evapotranspiration estimation of pomegranate trees, employing a novel approach that integrates lysimeter measurements with Unmanned Aerial Vehicle (UAV) multispectral imagery. The chapter begins with an introduction, underscoring the importance of accurate evapotranspiration estima...

This chapter presents an innovative solution, the Intelligent Bugs Mapping and Wiping (iBMW) system, designed as an affordable robot-driven robot for farmers. The chapter commences with an introduction, highlighting the critical need for intelligent and cost-effective pest management solutions in agriculture. Existing solutions in the field are dis...

This chapter introduces a novel method for non-invasive monitoring of stem water potential using proximate sensors and machine learning classification algorithms. The chapter begins with an overview, emphasizing the significance of non-invasive techniques in understanding plant water status for effective agricultural management. The Materials and M...

This chapter explores the integration of Unmanned Ground Vehicles (UGVs) in the realm of digital agriculture, offering a detailed examination of their role as data acquisition platforms. The chapter begins with an introduction, framing the discussion within the broader context of leveraging UGVs to enhance agricultural practices. An in-depth explor...

Monitoring the development of trees and accurately estimating the yield are important to improve orchard management and production. Growers need to estimate the yield of trees at the early stage to make smart decisions for field management. However, methods to predict the yield at the individual tree level are currently not available due to the com...

This chapter introduces an economical soil moisture monitoring method utilizing Walabot technology and machine learning algorithms. The chapter initiates with an introduction, emphasizing the importance of cost-effective solutions for soil moisture assessment in digital agriculture. The Materials and Methods section provides an overview of the stud...

This chapter introduces an innovative methodology for inferring the water status of individual trees through the integration of high-resolution Unmanned Aerial Vehicle (UAV) thermal imagery and Complexity-informed Machine Learning (CIML). The chapter opens with an insightful introduction, emphasizing the critical role of individual tree-level water...

This chapter serves as a foundational guide to the essential principles of big data, machine learning, and computer vision workflows. The exploration begins with an introduction, setting the stage for a comprehensive tutorial that elucidates the workflow’s fundamentals. The chapter unfolds with a step-by-step tutorial focused on the classification...

This chapter delves into the realm of Edge-AI sensors and their intersection with the Internet of Living Things (IoLT), offering a comprehensive exploration of proximate sensors and their applications. The chapter commences with an introduction, setting the stage for the exploration of cutting-edge technologies that bridge the gap between artificia...

Chapter 2 explores the fundamental question of why big data and machine learning inherently involve fractional dynamics. The investigation unfolds through an exploration of fractional calculus (FC) and fractional-order thinking (FOT), shedding light on their relevance in understanding the intricate dynamics of complex systems. The chapter delves in...

This chapter navigates the realm of small Unmanned Aerial Vehicles (UAVs) and their integral role in remote sensing applications, focusing on the sophisticated payloads they carry. The exploration begins with an in-depth examination of the UAV platform, elucidating the key features that make it an invaluable tool for aerial data collection. Within...

This chapter presents an innovative low-cost proximate sensing method designed for the early detection of nematodes in walnut trees, leveraging machine learning algorithms. The chapter commences with an introduction, highlighting the significance of early detection in managing nematode infestations and introducing the approach’s cost-effective natu...

Model uncertainty creates a largely open challenge for industrial process control, which causes a trade-off between robustness and performance optimality. In such a case, we propose a generalized conditional feedback (GCF) system to largely eliminate conflicts between robustness and performance optimality. This approach leverages a nominal model to...

A novel fractional-order model, incorporating coupled hysteresis and creep effects, is proposed for typical piezoelectric actuators in this study. Throughout the actuation process, various nonlinear behaviors such as piezoelectric hysteresis, non-local memory, peak transition, and creep nonlinearity are accurately characterized by the model. Offeri...

Agriculture in arid areas is often limited by the scarcity of fresh water and increasing soil salinization problems. A saltwater greenhouse that uses salty water instead of fresh water is a promising solution for agriculture in such areas. When used in agriculture irrigation tail water processing, the salt-water greenhouse can be an effective tool...

Non-minimum phase (NMP) systems present unique controller design challenges like the reduced stability region or an elevated noise and disturbance sensitivity due to its limited bandwidth caused by the presence of one or more right half plane zeros. In power electronics, architectures like the flyback converter exhibit this behavior, increasing the...