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Xie, Xiangpeng,Yue, Dong,Park, Ju H.,Li, Hongyi IEEE 2018 IEEE transactions on fuzzy systems Vol.26 No.5
<P>This paper deals with more relaxed designs of discrete-time Takagi–Sugeno fuzzy-model-based observers via two effective technical measures. Different from previous methods of this field, two effective technical measures are developed for obtaining more relaxed results, i.e., 1) A novel ranking-based switching mechanism is proposed by introducing a set of weighted variables so as to make use of the size differences information among normalized fuzzy weighting functions more freely. 2) A new slack variable method is proposed via the introduction of some extended representations for homogenous polynomials, and those major and minor relationships among all normalized fuzzy weighting functions are mapped to sole augmented multiindexed matrix for each homogeneous polynomial. Therefore, two positive results are provided in this paper, i.e., less conservative fuzzy observers can be given as a result of the above effective measures whilst a part of the online computational cost can be transferred to the offline implementation. Finally, two numerical examples are applied to illustrate the effectiveness of our approach.</P>
Jie Zhang,Da-Wei Ding,Xinmiao Sun,Xiangpeng Xie 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.5
In this paper, the fault-tolerant bipartite output regulation problem of linear multi-agent systems with two antagonistic subgroups and loss-of-effectiveness actuator faults has been solved by utilizing the output regulation theory. The aim of our study is to design a fault-tolerant controller such that bipartite tracking for the output of exosystem (also seen as the leader) in the presence of actuator faults can be achieved under a directed signed graph, where both collaboration and competition coexist in a multi-agent environment. Firstly, a simultaneous state and fault estimator is designed based upon local output estimation errors such that loss of actuator effectiveness of all followers can be accurately compensated. Then, a distributed adaptive exosystem observer is provided to obtain the information of exosystem since not all followers can directly access exosystem. By using the estimations of state, fault and exosystem, a new cooperative fault-tolerant bipartite output regulation framework with competitive interactions is eventually presented. Finally, we provide a numerical example to demonstrate the effectiveness of the designed fault-tolerant control law.
Jingshu Sang,Dazhong Ma,Xuguang Hu,Xiangpeng Xie 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.4
The mixed planting, as one of the diversification strategies, provides the substitute for many costly inputs, such as fertilizers, pesticides, imported pollinators and irrigation. However, the lack of the farming technology and the expansion of the farming scale have resulted in extremely mismatch between desired yield and manpower. This paper considers groups of agents orderly moving into precise regions, which is suitable for simultaneously planting of different crops. The hierarchical containment control strategy with group-aggregation behavior is proposed under the transformed three-layer topology. Particularly, the dynamic hierarchical containment control protocol is designed such that a novel group-aggregation cooperation in the convex hull can be achieved. A new coupling strength coefficient based on the transformed three-layer topology is defined in the proposed control protocol. Finally, two examples are provided to demonstrate the effectiveness of the proposed dynamic hierarchical containment control protocol for agricultural settings.
Reachable Set Estimation for Itô Stochastic Semi-Markovian Jump Systems Against Multiple Time Delays
Shaoxin Sun,Xin Dai,Ruipeng Xi,Yuliang Cai,Xiangpeng Xie,Chunhua Zhang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.9
The work deals with these issues of stochastic finite-time boundedness (SFTB), reachable set estimation with input-output finite-time mean square stabilization (IO-FTMSS) for multiple state delayed semi-Markovian jump models subject to uncertainties, stochastic process as well as input constraint. There are few attempts to perform related studies. Firstly, a nonlinear passive control mechanism is designed. Then, a closed-loop model could be acquired. Through stochastic Lyapunov function, these problems of SFTB, reachable set estimation with IO-FTMSS could be solved. In addition, these stability conditions are provided in the framework of linear matrix inequalities. These controller gain matrices, meanwhile, can be derived. At last, this availability of this described strategy can be proved through one simulation.
Dazhong Ma,Ke Cheng,Rui Wang,Sen Lin,Xiangpeng Xie 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.2
For the quasi-Z-source inverter (qZSI), capacitor voltage stability control, high performance of the inductor current reference tracking and fast response of the active/reactive power are key issues. Thus, a decoupled active/reactive power model predictive control (MPC) of the qZSI for distributed generations (DGs) is proposed to fulfill these requirements without additional control loops. Firstly, the digital observer is constructed to remove the utilization of the front voltage sensor and reduce the number of hardware equipment. Moreover, based on the advance determination of the system operation mode and the simplified cost function, the calculation complexity of the proposed MPC algorithm is simplified. Further, the proposed improved MPC method with the digital observer is proved to achieve the high accuracy and the zero prediction error, of which stability is demonstrated through Lyapunov stability criteria. Eventually, the proposed controller is compared with conventional MPC and PI controller in detail and its effectiveness is verified by both simulation and experimental results from a grid-connected qZSI.