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Rui Cheng,Qiong Zou,Xiaohua Zhang,Chunhui Xiao,Longfei Sun,Jinhua Chen 대한화학회 2014 Bulletin of the Korean Chemical Society Vol.35 No.8
Nitrogen-doped short tubular carbons (N-STCs) with big inner diameter have been successfully synthesized via carbonization of polydopamine (PDA) wrapped halloysite nanotubes (HNTs). The obtained N-STCs have average length of 0.3 μm with big inner diameter (50 nm), thin wall (2-3 nm) and large surface area (776 m2 g−1), and show excellent electrochemical properties. As an example in electrochemical applications, N-STCs were used to electrochemically detect hydrogen peroxide (H2O2) and glucose. The results showed that the N-STCs modified glassy carbon (N-STCs/GC) electrode had much better analytical performance (lower detection limit and wider linear range) compared to the acid-treated carbon nanotubes (AO-CNTs) based GC electrode. The unique structure endows N-STCs the enhanced electrochemical performance and promising applications in electrochemical sensing.
Ruicheng Ma,Haozhe Pang,Lulu Fu,Yetian Fan 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.4
This paper investigates the reduced-order switched observers for switched linear systems with unknown inputs when none subsystems are strongly detectable under dwell time switching. A time-varying disturbancedecoupling state coordinate transformation is first utilized to decouples the unknown input from a subset of the transformed state coordinates. Secondly, a linear coordinate transformation is constructed to decompose the system state into directly available state component parts and non-direct available state component parts. The existence conditions of the reduced-order switched observers are derived by both restricting the upper bounds and the lower bounds of dwell time, decreasing the energy of switched systems at switching times, and confining the growth of subsystems’ Lyapunov functions, and the reduced-order switched observers are constructed. Stability analysis of switched error dynamics is also presented. Then, the proposed reduced-order switched observers asymptotically converges to the state under the designed dwell time switching signal. Finally, an example confirms the effectiveness of the proposed method.
Detecting Fraudulent Financial Information of a Company Using Hidden Markov Model
Ruicheng Yang,Ailing Zuo,Qing Shen 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.9
Using Hidden Markov Model (HMM), this paper detects some fraudulent financial information of a company. The research index MBSPM (Main Business Service Profit Margin) ratio of company is used to test the effectiveness of HMM. Due to the shortage of the fraudulent data, based on the MBSPM index data we generate the artificial fraudulent financial information data by Poisson process and Uniform distribution, that is, we use the Poisson process to simulate the arrival times of the fraudulent financial information and the Uniform distribution to simulate their fraudulent sizes. By embedding the artificial fraudulent financial information data into the non-fraudulent MBSPM data, we form the sample data series. Applying Henderson filter method, we derive the research sample data by getting rid of the sample data series trends. We do some experiments to test the validity of HMM for detecting the fraudulent financial information, and further make some comparisons with other detecting techniques: logistic regression and ANNs. The detected results show that the HMM approach can significantly improve the identification accuracy.
Finite-time Stabilization with Output-constraints of A Class of Highorder Nonlinear Systems
Ruicheng Ma,Bin Jiang,Yan Liu 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3
In this paper, the finite-time stabilization with output-constraint is investigated for a class of high-order nonlinear systems with the powers of positive odd rational numbers by constructing a Barrier Lyapunov function. First, sufficient conditions on characterizing the nonlinear functions of the considered systems are derived. Then, based on the technique of adding one power integrator, the global finite-time stabilizers of individual subsystems are systematically constructed to guarantee global finite-time stability with output constraints of the closed-loop nonlinear system. Finally, an example is provided to demonstrate the effectiveness of the proposed result.
Prescribed-time Stabilization for a Class of Nonlinear Systems with Control Singularities
Lulu Fu,Ruicheng Ma,Jun Fu 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.2
This paper studies the prescribed-time stabilization of a class of nonlinear systems with control singularities. The settling time is independent of not only the design parameters but also the initial conditions, and can be set according to per our will. By using backstepping, we simultaneously construct a control Lyapunov function (CLF) with singularity and a control law to prescribed-time stabilize the equilibrium point of the studied system in settling time, and avoid all trajectories from crossing the control singularity set. Further, the feasibility region is consistent with the attraction region, and the attraction region is also maximized. That is, the positive invariance condition is achieved. Finally, two examples are presented to illustrate the effectiveness of our proposed method.
Pu Yang,Ruicheng Guo,Xu Pan,Tao Li 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.5
For a class of uncertain discrete-time systems with time varying delay, the problem of robust faulttolerantcontrol for such systems is studied by combining the design of sliding mode control (SMC) and modelpredictive control (MPC). A sliding mode fault tolerant predictive control based on multi agent particle swarmoptimization (PSO) is presented, and the design, analysis and proof of the scheme are given in detail. Firstly,the sliding mode prediction model of the system is designed by assigning poles of the output error of the system. The model has time varying characteristics, and it can improve the motion quality of the system while ensuringthe sliding mode is stable. Secondly, a new discrete reference trajectory considering time-delay systems subjectedsimultaneously to parameter perturbations and disturbances is proposed, which not only can ensure that the stateof the system has good robustness and fast convergence in the process of approaching sliding mode surface, butalso can inhibit chattering phenomenon. Thirdly, the multi agent PSO improves the receding-horizon optimization,which can quickly and accurately solve the control laws satisfying the input constraints, and can effectively avoidfalling into local extrema problem of the traditional PSO. Finally, the theoretical proof of robust stability of theproposed control scheme is given. Experimental results of quad-rotor helicopter semi physical simulation platformshow that the state of uncertain discrete-time systems with time varying delay is stable under the action of theproposed control scheme in this paper. The advantages of fast response, less overshoot and small control chatteringprove the feasibility and effectiveness of the proposed control scheme.
Prescribed-time Stabilization with Time-varying Output Constraints for Switched Nonlinear Systems
Xiaoyi Tian,Yichen Li,Ruicheng Ma 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.5
This paper studies the problem of the prescribed-time stabilization for a class of switched nonlinear systems with time-varying output constraints. Firstly, a new coordinate design of the output enables the constraints to be incorporated into the original system. Secondly, a fractional term will be played an essential role in achieving prescribed-time stabilization. Then, based on the method of Barrier Lyapunov function (BLF) and backstepping, a recursive algorithm is developed to construct a controller to achieve the prescribed-time stabilization with timevarying output constraints. Finally, two examples are provided to show the effectiveness of the proposed results.
Fanghui Liu,Zhe Gao,Chao Yang,Ruicheng Ma 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.9
In order to improve the estimation accuracy of the state information and save the computing time for fractional-order systems containing correlated and uncorrelated process and measurement noises, this paper investigates fractional-order extended Kalman filters for continuous-time nonlinear fractional-order systems using the method of fractional-order average derivative. Compared with Grünwald-Letnikov difference, the estimation accuracy is improved via the fractional-order average derivative method. Meanwhile, the computing time in the stateestimation is saved. To deal with the correlated and uncorrelated process and measurement noises, two kinds of extended Kalman filters for nonlinear fractional-order systems are given. Finally, the effectiveness of the proposed fractional-order extended Kalman filters based on fractional-order average derivative is validated by two examples.
Yan Liu,Fuli Wang,Yulu Xiong,Zhenyu Liu,Ruicheng Ma,Fei Chu 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3
To improve the accuracy of feature representation and abnormal condition identification, a new abnormal condition identification method, named integrating multiple binary neural networks based on condition-relevantinformation (CRI-MBNN), is presented for the electro-fused magnesia smelting process in this study. Firstly, thefeatures related to each specific abnormal condition, which is named condition-relevant information (CRI), are analyzed and extracted from the multi-source heterogeneous information with the help of limited and consensus domainknowledge. Then, the CRI is fused at the feature-level to provide a comprehensive representation of each abnormalcondition. Furthermore, for each abnormal condition, a binary neural network (BNN) is established based on thefused feature. They are further integrated according to the frequency of each condition in the actual productionprocess to form the final abnormal condition identification network, i.e., CRI-MBNN. Finally, the effectiveness andfeasibility of the proposed CRI-MBNN are verified by the electro-fused magnesia smelting process.