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43rd Chinese control Conference, CCC 2024

作者： Lu, Qizhe Tang, Wenbin Pang, Zitong Zhang, Yahui Jiao, Xiaohong Yanshan University School of Electrical Engineering Qinhuangdao066004 China Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China Yanshan University School of Mechanical Engineering Qinhuangdao066004 China

ISBN: (纸本)9789887581581

Considering the slow-moving and energy-consuming issues that tend to occur when truck fleets drive, this paper proposes a hierarchical energy management strategy (EMS) for the hybrid electrical truck (HET) fleet, including speed planning and energy management. The speed threshold range that allows the whole fleet to pass through the traffic light is computed in the upper-layer speed planning. Within the model predictive control framework, a multi-objective optimization function is constructed for speed planning to find the optimum solution. In the lower-layer energy management, an offline model is established for power allocation between the Integrated Starter Generator and the Electric Motor and gear shift selection of automated manual transmission to reduce the dimensionality of the control variables. Then, an adaptive equivalent consumption minimum strategy (A-ECMS) is designed based on the fleet's optimal speed provided. In the offline part, the transformation relationship between the co-state and equivalence factor is established based on Pontryagin's minimum principle (PMP), and PMP obtains the globally optimal control sequence in the historical driving cycle to train a back-propagation neural network (BPNN). The BPNN model predicts the current optimal co-state in the online part, transformed into a real-time optimal equivalence factor to guide the A-ECMS online application. The simulation results indicate that the fuel economy of the proposed EMS is comparable to that of the global optimization method PMP and superior to that of Fixed EF-ECMS and PI-ECMS. Additionally, it enables the HET fleet to pass through traffic lights without stopping, thereby ensuring queue continuity and improving the passage efficiency of the fleet. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Predictive control systems

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Motion control of Underactuated Mechanical System via Singular Perturbations 41

Motion Control of Underactuated Mechanical System via Singul...

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第41届中国控制会议

作者： ZHOU Zhen GENG Chenchen CUI Ruogeng XIAO Jinzhuang WANG Hongbin College of Electronic Information Engineering Hebei University Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this work,a novel two-time-scale control structure is proposed to perform the motion control problem of the underactuated mechanical *** allows us to analyze the system dynamics in each time scale ***,the underactuated mechanical system is divided into the actuated and the unactuated parts,since that the singular perturbations theorem could be applied ***,in order to facilitate the different speed of convergence,a small positive constant is designed in the auxiliary control variable of actuated *** the low gains can make sure that the actuated states can converge to the desired position in its domain ***,the PD controller with high gains in contrast could have a fast speed,meanwhile the reference trajectory is settled for the unactuated ***,the final controller constructed by incorporating the characteristics of system model has a low *** results on the underactuated system are given to verify the efficacy of the strategy.

关键词： Underactuated mechanical systems Decoupled control Singular perturbations Motion cotrol

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Event-Triggered Robust Model Predictive control for Multi-Agent Systems Under Hybrid Attacks 42

Event-Triggered Robust Model Predictive Control for Multi-Ag...

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42nd Chinese control Conference, CCC 2023

作者： Yin, Yongxin Li, Jianxiong Gao, Chongyi Fang, Yiming Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China Tangshan University Department of Electromechanical Engineering Tangshan063002 China

ISBN: (纸本)9789887581543

In this paper, the consensus control problem for multi-agent systems (MASs) suffering hybrid attacks is discussed, in which the hybrid attacks include randomly occurring deception attacks on system dynamic behavior and denial-of-service attacks (DoS). An event-triggered robust model predictive control (RMPC) method is presented to achieve the consensus of MASs under hybrid attacks. It can be proved that the consensus errors can be asymptotic with prescribed H∞ performance, the sufficient condition for stability can be given in terms of linear matrix inequalities (LMIs), and the controller gains are obtained by solving an optimization problem involving some LMIs. Employing the event-triggered mechanism with maximum trigger interval, not only can not only save computation time and facilitate the efficiency of the shared resources but also can effectively be responsible for the negative impact of cyber-attacks on system performance. Finally, simulation results are given to illustrate the validity and effectiveness of the proposed method. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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Fixed-Time Sliding Mode Fault-Tolerant Consensus control for Second-Order Multi-Agent System with Actuator Fault 41

Fixed-Time Sliding Mode Fault-Tolerant Consensus Control for...

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第41届中国控制会议

作者： Jing Wang Yi-ming Fang Jian-xiong Li Kun-da Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problems of immeasurable leader state and actuator fault for second-order multi-agent system(MAS),the distributed robust sliding mode fault-tolerant control method based on fixed-time state observer(FTSO) is adopted to realize the fixed time fault-tolerant consensus tracking control for the *** MAS is under the undirected communication *** actuator fault is including partial loss of effectiveness(PLOE) fault and bias ***,a fixed time state observer is designed for each follower to obtain the state information of the ***,for followers with actuator faults,the distributed fixed-time robust sliding mode fault-tolerant controller is designed to realize fault-tolerant consensus tracking ***,the Lyapunov stability theorem is used to prove that the observation error and the consensus control error converge to zero in a ***,the effectiveness of the designed FTSO and fixed-time robust sliding mode fault-tolerant control algorithm is verified by numerical simulation.

关键词： fixed-time state observer fixed-time fault-tolerant control multi-agent systems consensus tracking control

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Energy Efficiency Maximization for Hybrid Access Femtocell Networks via Incentive Mechanism and Power control Strategy 13

Energy Efficiency Maximization for Hybrid Access Femtocell N...

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13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Liu, Xuelin Wang, Weimin Liu, Zhixin School of Control Science and Engineering Dalian University of Technology Dalian116023 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China

ISBN: (纸本)9798350315196

Femtocell network has a great development space in increasing coverage and capacity of wireless network. In order to meet the quality of service (QoS) requirements of MUEs in MBS coverage, we propose a seed channel incentive mechanism in the two-tier femtocell network, where the MBS provides sub-channels to FBSs to motivate them to serve for the MUEs within the MBS coverage. To maximize the energy efficiency of femtocell layer after hybrid access, the optimization problem is modeled. The combined method of worst-case, Dinkelbach and continuous convex approximation is developed to make the optimization problem solvable. In addition, in order to realize the practical application of the proposed scheme, an optimization algorithm combining sub-channel and power allocation is developed. The numerical results show that the proposed algorithm is effective in improving the energy efficiency of the femtocell layer. © 2023 IEEE.

关键词： Femtocell

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A Novel A-ESO Composited Non-Recursive control Methodology for Complex High-Order Disturbed Nonlinear Systems 42

A Novel A-ESO Composited Non-Recursive Control Methodology f...

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42nd Chinese control Conference, CCC 2023

作者： Zhang, Cong Liu, Shiji Liu, Shuang School of Electrical Engineering Yanshan University Hebei Qinhuangdao066004 China Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Qinhuangdao066004 China

ISBN: (纸本)9789887581543

This paper mainly focuses on a disturbance rejection control methodology for a series of mismatched and matched disturbed complex systems. Firstly, a novel finite-time arbitrary-order extended state observer (A-ESO) is proposed to accurately estimate the system states, disturbances, and their corresponding order derivatives. And then, a novel concise nonrecursive control ideology utilizing all the estimations of A-ESO is proposed to strictly guarantee finite-time stability and convergence of the whole closed-loop system. Significantly, compared with the existing nonrecursive control methods, the essential characteristic is that all the estimation information is utilized to construct the composite controller. This will be tremendously conducive to cost-saving and promoting practical implementations. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Disturbance rejection

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Optimal Time and Power Allocation in Full-Duplex Wireless-Powered Cognitive Radio Networks 13

Optimal Time and Power Allocation in Full-Duplex Wireless-Po...

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13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Feng, Zhenyu Su, Ming Zhou, Meihua Liu, Zhixin School of Electrical Engineering Yanshan University Qinhuangdao066004 China Training Center of Liren College Yanshan University China Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China

ISBN: (纸本)9798350315196

In this paper, we integrate wireless powered communication networks (WPCNs) with cognitive radio networks (CRNs) in order to develop wireless powered CRNs (WP-CRNs). The hybrid access point (HAP) is used to broadcast radio-frequency signals to the devices at the downlink stage, and to receive information from these devices. The HAP has two antennas to achieve full-duplex: one is for downlink wireless power transfer and the other is for receiving uplink information transmission from the users simultaneously in the uplink. In the underlay paradigms. The SUs can harvest energy to transmit data when the interference to primary users (PUs) does not exceed a tolerable threshold. To tackle the above network issues, an optimal resource allocation method is proposed to maximize the secondary system uplink throughput. The optimization problem with respect to time and power allocation is formulated including the constraint of energy causality and interference level. The non-convex problem is transformed into an equivalent convex optimization problem, then the joint optimal power and time allocation (JOPTA) algorithm is presented to determine the optimal solutions. The effectiveness of the proposed algorithm is verified in the simulations. © 2023 IEEE.

关键词： Cognitive radio

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Design and Analysis of Polynomial Positive Fuzzy System controllers Based on Markov Transitions

Design and Analysis of Polynomial Positive Fuzzy System Cont...

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Chinese Automation Congress (CAC)

作者： Sen Chang Xiaomiao Li Fucai Liu Zhiyong Bao Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

This study explores polynomial Markov positive fuzzy systems, formulating controllers for these systems by examining the prerequisites for positivity and stochastic stability. Initially, polynomials are incorporated into the Markov positive fuzzy system to represent nonlinear elements better and enhance its capacity to model nonlinear systems. Concurrently, the study discusses the non-convex scenarios encountered in the stability analysis of the closed-loop system once the positive fuzzy system controller is integrated and confirms the stability of the Markov polynomial positive fuzzy system. Ultimately, the effectiveness of the proposed approaches is demonstrated through a numerical simulation example.

关键词： Automation Stochastic processes Numerical simulation Stability analysis Polynomials Numerical models Closed loop systems Nonlinear systems Numerical stability Fuzzy systems

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Predictive Cruise control for Connected Autonomous Vehicles Considering Communication Delay in Mixed Traffic

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IFAC-PapersOnLine 2024年第29期58卷 172-177页

作者： Xinyu Li Jin Zhang Jiaqi Xue Lin Qi Wenbin Tang Xiaohong Jiao Institute of Electrical Engineering Yanshan University Qinhuangdao China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 Hebei Province China

The stochastic behaviors of human-driven vehicles (HDVs) and the communication delay of Vehicle-to-Everything (V2X) technique present challenges to the advancement of connected autonomous vehicles (CAVs) in mixed traffic comprising CAVs, uncertain numbers of HDVs and connected HDVs (CHDVs). Consequently, a predictive cruise control strategy based on V2X communication is proposed for CAVs in a mixed platoon. Firstly, a long-short-term memory (LSTM) network combined with a conditional linear Gaussian (CLG) model is adopted for speed prediction of the preceding vehicle considering the communication delay. Subsequently, the CAV's speed planning is conducted for passing continuous signalized intersections without stopping. Then, the planned speed is tracked in energy-efficient, safe, and comfortable manners under a stochastic model predictive control (SMPC) framework. The simulation results validate the effectiveness and advantages of the proposed strategy.

关键词： Connected autonomous vehicles Mixed traffic Communication delay Predictive cruise control

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Distributed Resilient Frequency control Based on Estimation of Sensor and Actuator Attacks in AC Microgrids 48

Distributed Resilient Frequency Control Based on Estimation ...

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48th Annual Conference of the IEEE industrial Electronics Society, IECON 2022

作者： Ma, Kai Dong, Yufei Zhao, Peng Yang, Jie Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China Yanshan University School of Electrical Engineering Qinhuangdao China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

The consensus based distributed frequency control strategy makes all measurements and control units in microgrids vulnerable to false data injection (FDI) attacks. This paper presents an observer-based resilient frequency control for estimating and compensating for FDI attacks on sensors and actuators in AC microgrids. Firstly, attacks of sensors and actuators are estimated online simultaneously by observers. Then a distributed H∞ output feedback protocol is used to ensure that the frequency consensus tracking is achieved with cooperative uniform ultimate boundedness. The control strategy is completely distributed and does not require any quantitative information about attacks. Furthermore, there is no limit to the number and location of attacked units. Several case studies are provided to verify the effectiveness of the proposed resilient frequency control strategy. © 2022 IEEE.

关键词： Frequency estimation

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