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

作者： Ma, Kai Yao, Shijie Guo, Shiliang Yang, Bin Li, Shuai Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350315196

Job-shop scheduling problem is the core link and key technology to realize smart factory and develop smart manufacturing technology. Among them, the flexible job-shop scheduling problem (FJSP) which is more consistent with the actual production and processing mode has been focused. This paper proposes an improved seagull optimization algorithm(ISOA) for solving the FJSP. The ISOA uses chaos initialization and reverse learning to optimize initial population, and introduces Q-learning to change the fitting parameters to balance global search and local search. In addition, we propose a local search model that is adaptive iterative process to enhance the algorithm's optimization search capability. The results of the experiment proved that the algorithm is superior in terms of optimization speed and scheduling results. © 2023 IEEE.

关键词： Iterative methods

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Relaxed Stability Analysis and Event-Triggered controller Design for Discrete-Time Positive T-S Fuzzy Networked control Systems 49

Relaxed Stability Analysis and Event-Triggered Controller De...

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49th Annual Conference of the IEEE industrial Electronics Society, IECON 2023

作者： Wang, Xiaoxiao Li, Xiaomiao Bao, Zhiyong Liu, Fucai Du, Yuehao Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350331820

This paper deals with the relaxation stability analysis and event-triggered controller design of discrete-time positive Takagi-Sugeno (T-S) fuzzy networked control systems (FNCSs). The constraints of positive conditions in NCSs bring significant challenges to stability analysis and controller design. A 1-norm event-triggered scheme is proposed for the positive system, which can effectively reduce the frequency of network communication. Since the event-triggered T-S fuzzy controller (ETTSFC) can only observe the latest transmission state after the triggering action, the ETTSFC selects the premise variables different from the T-S fuzzy model, improving design and implementation flexibility. Using the linear copositive Lyapunov function (LCLF), the design criteria of the event-triggered controller to ensure the positivity and stability of the closed-loop system are derived. To relax the sum-of-squares (SOS) based conservative condition, we adopt the Taylor series membership functions (TSMFs) and introduce TSMFs and their approximation error into the stability conditions. Finally, an example is given to illustrate the effectiveness of the design. © 2023 IEEE.

关键词： Lyapunov functions

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An Improved NSGAII Algorithm for Flexible Job-shop Scheduling Problem Based on A New Decoding Mechanism 13

An Improved NSGAII Algorithm for Flexible Job-shop Schedulin...

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

作者： Li, Man Ma, Kai Guo, Shiliang Li, Shuai Yang, Bin Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350315196

The flexible job-shop scheduling problem (FJSP) is a famous combinatorial optimization problem. FJSP is widely used in process manufacturing industry, so it is of great significance to study FJSP to improve production efficiency. In this paper, a non-dominated sorting genetic algorithm II based on a new decoding mechanism (NSGAII-NDM) is proposed. Firstly, the opposite-based learning strategy is introduced on the basis of NSGAII, and the sufficiency of global search is improved by generating the opposite value. Secondly, an improved adaptive crossover and mutation probability strategy is added, which can dynamically adjust the inherent crossover and mutation probability with the number of iterations and improve the convergence speed of the algorithm. Furthermore, based on fully active scheduling strategy, a new decoding mechanism is proposed, which can get a better scheduling scheme by arranging the machines and starting time of each process more reasonably. Finally, the improved algorithm is tested in a standard test case, which verifies the superiority of NSGAII-NDM in solving the flexible job-shop scheduling problem. © 2023 IEEE.

关键词： Production efficiency

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T-S model based fault tree analysis on the hoisting system of rubber-tyred girder hoister

T-S model based fault tree analysis on the hoisting system o...

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2010 WASE International Conference on Information engineering, ICIE 2010

作者： Yao, Chengyu Zhang, Yingyi Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9780769540801

Hoisting system is the key part of the girder hoister, and its reliability determines the stability and security of the girder hoister directly. Hoisting system consists of mechanical, electrical and hydraulic components. Owing to the multiple and complex failure modes and mechanisms of the components, the hoisting system's reliability evaluation is accomplished by Fault Tree Analysis (FTA) based on T-S model. Failure probabilities can be described as fuzzy possibilities and fault degrees are expressed in terms of fuzzy numbers, while events' relationships are described by T-S gates instead of conventional logic gates. A method to acquire knowledge about the premise and consequent events is given, in terms of fuzzy rules of T-S gates made up of fuzzy possibilities and fault degrees of components. Fuzzy possibilities of the intermediate events and the top event are computed by MATlab. in terms of information about field experiences and expert data. Considering the influence of fault degrees to the system at the same time, it offers reference to find and improve relevant weaknesses of the system, thus the dependability of the whole hoisting system is improved. © 2010 IEEE.

关键词： Fault tree analysis

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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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2024 China Automation Congress, CAC 2024

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

ISBN: (纸本)9798350368604

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. © 2024 IEEE.

关键词： Fuzzy systems

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Bandwidth Allocation with Minimum Rate Constraints in Cluster-based Femtocell Networks

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International Journal of Automation and computing 2015年第1期12卷 77-82页

作者： Kai Ma Liang Li Jie Yang Zhi-Xin Liu Xin-Bin Li Xin-Ping Guan School of Electrical Engineering Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education

Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell clusters by constructing a weighted interference graph and allocate bandwidth to each cluster based on a Nash bargaining solution(NBS). Simulation results show that the cluster-based bandwidth allocation algorithm can reduce the inter-femtocell interference and meet the minimum rate constraint of each cluster.

关键词： Femtocell cluster inter-femtocell interference bandwidth allocation Nash bargaining solution(NBS)

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Relay Selection and Power control for Mobile Underwater Acoustic Communication Networks: A Dual-Thread Reinforcement Learning Approach

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green Communications and Networking 2024年第2期9卷 1-1页

作者： Dai, Jun Li, Xinbin Han, Song Yu, Junzhi Liu, Zhixin Key Lab of Industrial Computer Control Engineering of Hebei Province China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China

This paper deals with a cooperation communication problem (relay selection and power control) for mobile underwater acoustic communication networks. To achieve satisfactory transmission capacity, we propose a reinforcement-learning-based cooperation communication scheme to efficiently resist the highly dynamic communication links and strongly unknown time-varying channel states caused by the mobility of Autonomous Underwater Vehicles (AUVs). Firstly, a particular Markov decision process is developed to model the dynamic relay selection process of mobile AUV in the unknown scenario. In the developed model, an experimental statistical-based partition mechanism is proposed to cope with the greatly increasing dimension of the state space caused by the mobility of AUV, reducing the search optimization difficulty. Secondly, a dual-thread reinforcement learning structure with actual and virtual learning threads is proposed to efficiently track the superior relay action. In the actual learning thread, the proposed improved probability greedy policy enables the AUV to strengthen the exploration for the reward information of potential superior relays on the current state. Meanwhile, in the virtual learning thread, the proposed upper-confidence-bound-index-based uncertainty estimation method can estimate the action-reward level of historical states. Consequently, the combination of actual and virtual learning threads can efficiently obtain satisfactory Q value information, thereby making superior relay decision-making in a short time. Thirdly, a power control mechanism is proposed to reuse the current observed action-reward information and transform the multiple unknown parameter nonlinear joint power optimization problem into a convex optimization problem, thereby enhancing network transmission capacity. Finally, simulation results verify the effectiveness of the proposed scheme. IEEE

关键词： Convex optimization

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Dynamic event-triggered formation control for multiple quadrotor UAVs 37

Dynamic event-triggered formation control for multiple quadr...

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37th Chinese control Conference, CCC 2018

作者： Hongbin, Wang Zhen, Zhou Yueling, Wang Mingquan, Zhang Xiaojun, Xue Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China

ISBN: (纸本)9789881563941

This paper deals with the formation control problem for a group of quadrotor unmanned aerial vehicles (UAVs) through a modified dynamic event-triggered control protocol. The stability proof for the state space origin of the overall closed-loop system is derived from the singular perturbation method and Lyapunov stability theory. An event-triggered formation control protocol in terms of a dynamically varying threshold parameter is delicately carried out while acquiring satisfactory resource efficiency, and Zeno behavior of triggering time sequences is excluded. Finally, simulations on four quadrotor UAVs are given to verify the effectiveness of the theoretical results. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Closed loop systems

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Fuzzy adaptive control for multi-machine power system based on ant colony algorithm

Fuzzy adaptive control for multi-machine power system based ...

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International Conference on Natural Computation

作者： Wu, Zhong-Qiang Yao, Yuan Dou, Chun-Xia Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

ISBN: (纸本)9781424459612

Based on multi-machine excitation control models, using fuzzy adaptive theory and considering the muti-machine nonlinear system whose states are not availab.e, observer-based adaptive fuzzy output feed back control schemes are proposed. In this paper, the ant colony algorithm is used to optimize the fuzzy control rules. The simulation result shows that the controller can effectively improve power system stability under big disturbance. © 2010 IEEE.

关键词： Fuzzy control

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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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