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Non-Fragile Consensus Strategy for Variable Fractional-Order Multi-Agent systems Based on Disturbance Observer

IEEE Transactions on Control of Network systems 2025年

作者： Chen, Liping Liu, Chuang Lopes, Antonio M. Zhang, Zhiqiang Chen, YangQuan Hefei University of Technology School of Electrical Engineering and Automation Hefei230009 China University of Porto LAETA INEGI Faculty of Engineering Porto4200-465 Portugal University of California Lab of Mechatronics Embedded Systems and Automation Lab MercedCA95343 United States

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 observer is introduced, which is able to tolerate a certain degree of parameter uncertainty. Secondly, by employing the disturbance observer, a novel robust non-fragile consensus control scheme is developed, which not only ensures asymptotic stability of the consensus error system, but also accommodates parameter uncertainty in the physical controller's implementation. Thirdly, new sufficient conditions for the desired consensus protocol are derived using linear matrix inequalities (LMIs), as well as graph and Lyapunov theory. Finally, simulation examples are presented to illustrate the validity of the theoretical results. The proposed order-dependent LMI condition is less conservative than existing order-independent alternatives. © 2014 IEEE.

关键词： Multi agent systems

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Safety-Optimized Fast Charging of Lithium-ion Battery Based on Distributional SAC-Conservative Augmented Lagrangian SDRL Algorithm

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IEEE Transactions on Vehicular Technology 2025年

作者： Chen, Liping Tao, Yuxin Lopes, Antonio M. Chow, Mo-Yuen Chen, YangQuan Hefei University of Technology School of Electrical Engineering and Automation Hefei230009 China University of Porto LAETA/INEGI Faculty of Engineering Rua Dr. Roberto Frias Porto4200-465 Portugal Shanghai Jiao Tong University University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai200240 China University of California Lab of Mechatronics Embedded Systems and Automation MercedCA95343 United States

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 deep reinforcement learning (SDRL) approach. Specifically, this work introduces an innovative approach by employing distributional reinforcement learning in LIBs fast charging control, simultaneously optimizing safety constraint issues. The proposed distributional soft actor critic-conservative augmented Lagrangian (DSAC-CAL) algorithm mitigates the overestimation of the reward value function while avoiding the underestimation of the cost value function. Both simulation and real-world charging experiments are conducted to validate the strategy's effectiveness. Compared to advanced deep deterministic policy gradient-based and soft actor-critic-based strategies, the proposed method exhibits superior optimality and stability, confirming its significant performance advantages. Furthermore, in contrast to model predictive control-based charging strategies, it offers superior real-time adaptability and proves more efficient in practical charging scenarios. Software code developed in this research is available at https://***/yxTao7/DSAC-CAL. © 1967-2012 IEEE.

关键词： Fast charging Lithium-ion battery Safe deep reinforcement learning Thermal safety

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The Controllability, Observability, and Stability Analysis of a Class of Composite systems with Fractional Degree Generalized Frequency Variables

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IEEE/CAA Journal of Automatica Sinica 2019年第3期6卷 859-864页

作者： Cuihong Wang Yafei Zhao YangQuan Chen IEEE the Department of Mathematics and Computer Science Shanxi Normal University the Mechatronics Embedded Systems and Automation(MESA) Lab

This paper is concerned with fundamental properties of a class of composite systems with fractional degree generalized frequency variables, including controllability, observability and stability. Firstly, some necessary and sufficient conditions are given to guarantee controllability and observability of such composite systems. Then we prove that the stability problem of such composite systems can be reduced to judging whether a fractional degree polynomial is stable. Finally, the stability analysis result is applied in the supervisory control of fractional-order multi-agent systems, and an example is provided to illustrate the effectiveness of the proposed methods.

关键词： Composite system controllability fractionalorder system observability stability

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A Fractional Micro-Macro Model for Crowds of Pedestrians Based on Fractional Mean Field Games

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IEEE/CAA Journal of Automatica Sinica 2016年第3期3卷 261-270页

作者： Kecai Cao Yang Quan Chen Daniel Stuart College of Automation Nanjing University of Posts and Telecommunications IEEE Mechatronics Embedded Systems and Automation Lab School of Engineering University of California Department of Electrical and Computer Engineering Utah State University

Modeling a crowd of pedestrians has been considered in this paper from different aspects. Based on fractional microscopic model that may be much more close to reality, a fractional macroscopic model has been proposed using conservation law of mass. Then in order to characterize the competitive and cooperative interactions among pedestrians, fractional mean field games are utilized in the modeling problem when the number of pedestrians goes to infinity and fractional dynamic model composed of fractional backward and fractional forward equations are constructed in macro scale. Fractional micromacro model for crowds of pedestrians are obtained in the end. Simulation results are also included to illustrate the proposed fractional microscopic model and fractional macroscopic model, respectively. © 2014 Chinese Association of automation.

关键词： Control systems Electrical engineering

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Cyber-Physical systems as General Distributed Parameter systems:Three Types of Fractional Order Models and Emerging Research Opportunities

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IEEE/CAA Journal of Automatica Sinica 2015年第4期2卷 353-357页

作者： Fudong Ge YangQuan Chen Chunhai Kou College of Information Science and Technology Donghua University Mechatronics Embedded Systems and Automation Lab University of California Department of Applied Mathematics Donghua University

Cyber-physical systems (CPSs) are man-made complex systems coupled with natural processes that, as a whole, should be described by distributed parameter systems (DPSs) in general forms. This paper presents three such general models for generalized DPSs that can be used to characterize complex CPSs. These three different types of fractional operators based DPS models are: fractional Laplacian operator, fractional power of operator or fractional derivative. This research investigation is motivated by many fractional order models describing natural, physical, and anomalous phenomena, such as sub-diffusion process or super-diffusion process. The relationships among these three different operators are explored and explained. Several potential future research opportunities are then articulated followed by some conclusions and remarks. © 2014 Chinese Association of automation.

关键词： Laplace equation Laplace transforms Mathematical operators

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Parallel self optimizing control framework for digital twin enabled smart control engineering 1

Parallel self optimizing control framework for digital twin ...

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1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021

作者： Viola, Jairo Chen, Yangquan University of California Merced Mechatronics Embedded Systems and Automation Lab MercedCA95343 United States

ISBN: (纸本)9781665433372

This paper presents a parallel Self Optimizing Control (SOC) framework that combines parallel intelligence, Digital Twin, and derivative-free optimization to enable smart capabilities in classic process control. The parallel SOC framework supports the interaction between the physical system and its Digital Twin via Simultaneous Perturbation Stochastic Approximation (SPSA) derivative-free optimization algorithm. The framework is tested using the Digital Twin of a thermoelectric heating system. Obtained results show that using parallel intelligence with Digital Twin and SPSA optimization method, the SOC can improve the system performance by introducing a developmental behavior on the classic process control system. © 2021 IEEE.

关键词： Process control

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A guide for selecting small unmanned aerial systems for research-centric applications

A guide for selecting small unmanned aerial systems for rese...

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2nd IFAC Workshop on Research, Education and Development of Unmanned Aerial systems, RED-UAS 2013

作者： Stark, Brandon Smith, Brendan Chen, Yang Quan Mechatronics Embedded Systems and Automation Lab School of Engineering University of California Merced Merced CA United States

ISBN: (纸本)9783902823571

Unmanned Aerial systems (UASs) have been utilized in a wide variety of researchcentric applications, especially within the last several years. However, the majority of these applications have utilized specialized equipment developed by experts in UAS technology. As the impact of using UASs for research applications become more widely known, the demand for their use will grow. Currently, the field of commercially available systems is growing larger every day, but many end-user researchers do not know how to utilize these systems for their needs. In this paper, an evaluation of many commercially available systems and typical payload systems is presented to help end-user researchers understand how to select the system that best suits their needs. © IFAC.

关键词： Unmanned aerial vehicles (UAV)

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Optimal pest management by networked unmanned cropdusters in precision agriculture: A cyber-physical system approach

Optimal pest management by networked unmanned cropdusters in...

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2nd IFAC Workshop on Research, Education and Development of Unmanned Aerial systems, RED-UAS 2013

作者： Stark, Brandon Rider, Sean Chen, Yang Quan Mechatronics Embedded Systems and Automation Lab School of Engineering University of California Merced Merced CA United States

ISBN: (纸本)9783902823571

Unmanned Aerial systems (UASs) are expected to see the largest application within the agricultural market. These versatile platforms have shown promise ushering in the next wave of precision agriculture. While remote sensing applications have been well documented and developed, there remains signifficant advances left to be made in improving the use of UASs for precision application of pesticides. Although the current mode of aerial spraying or application of pesticides within the U.S. is done using full-sized aircraft, future implementations for autonomous crop dusting are likely to utilize small unmanned aircraft systems (SUASs) due to their much lower cost and ease of use. However, these smaller platforms have limited payload capacities, thus the development of cooperative swarms of SUASs is necessary. In this paper, a swarm of cooperative SUASs are utilized within a cyber-physical system framework to optimize the use of pesticides with precision spraying. Through the use of Centroid Voronoi Tessellation, the swarm makes the most efficient use of pesticides to attack an invasive pathogen. Simulation results are presented to validate the performance of the proposed method. © IFAC.

关键词： Precision agriculture

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Optimal control of a diffusion process using networked unmanned aerial systems with smart health 19

Optimal control of a diffusion process using networked unman...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Stark, Brandon Rider, Sean Chen, YangQuan Mechatronics Embedded Systems and Automation Lab. School of Engineering University of California Merced MercedCA United States

ISBN: (纸本)9783902823625

In many future applications, such as pesticide spraying, unmanned aerial systems (UASs) are expected to operate cooperatively in a swarm configuration. A cyber-physical framework based on Centroidal Voronoi Tessellations (CVT) has been shown to provide optimal placement for sensors or actuators and can be used effectively for the control of a diffusion process such as a pathogen infection. However, previous work did not consider real-world constraints such as the effect of the UASs health on swarm utilization. While health degradation over time is inevitable, mismanaged swarms face expedited health degradation from over-utilization of one UAS over others. In this paper, a novel smart health balancing (SHB) system is implemented to extend the life of the most heavily taxed UASs and thus extending the life of the entire UAS swarm. The effectiveness of the proposed system is demonstrated with simulation results. © IFAC.

关键词： Networked control systems

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Guest Editorial for Special Issue on Fractional Order systems and Controls

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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 255-256页

作者： Yang Quan Chen Dingy Xue Antonio Visiol IEEE Mechatronics Embedded Systems and Automation (MESA) Lab School of Engineering University of California School of Information Sciences and Engineering Northeastern University Department of Mechanical and Industrial Engineering University of Brescia

*** FRACTIONAL calculus is about differentiation and integration of non-integer *** integer-order models and controllers for complex natural or man-made systems is simply for our own convenience while the nature runs in a fractional order dynamical *** integer order traditiona tools for modelling and control of dynamic systems may resul in suboptimum performance,that is,using fractional order calculus tools,we could be'more optimal'as already doc-

关键词： Guest Editorial for Special Issue on Fractional Order systems and Controls

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