A Novel Control Method for Drum Level and Pressure Basing on Dynamic Surface

Yuanwei Jing,Hongxia Yu,Xiaoyu Sun 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.6

A novel drum level and pressure simultaneously control method is developed using the dynamic surface control method in this paper which takes account of the output power of units and load change .Certain first-order low-pass filters are introduced into the designing process to avoid the occurrence of high-order derivatives of elements in the system which makes it easy to implement in practical applications. The proposed control method is effective in compensating for the disturbance of load and fuel. Simulation results show that the dynamic surface control method still ensures an accurate result, even if the loads change in a great and parameters of the controlled plant change significantly.

ATM Rate Based Traffic Control with Bode Principle

Yuanwei Jing,Hui Zeng,Qingshen Jing,Ping Yuan 대한전기학회 2008 International Journal of Control, Automation, and Vol.6 No.2

Bode principle is applied to carry out traffic control for rate based ATM network, which guarantees the higher buffer utilization, buffer overflow-free, and well utilization of bandwidth. The principle confirms the relationship between the threshold of buffer queue and the network bandwidth, as well as the relationship between the threshold of buffer and source input rate. Theoretic warrant of the buffer threshold is proposed. The reference range of source input rate is provided in theory, which makes the source end respond to the change of network state rapidly and dynamically, and then the effect of time delay to the traffic control is avoided. Simulation results show that the better steady and dynamic performances of networks are obtained by Bode principle.

Robust Control for a Class of T-S Fuzzy Systems with Interval Time-varying Delay

Shengtao Li,Yuanwei Jing,Xiaomei Liu 제어·로봇·시스템학회 2012 International Journal of Control, Automation, and Vol.10 No.4

The problem of delay-dependent stability analysis and controller design for a class of T-S fuzzy systems with interval state time-varying delay is considered. Based on Lyapunov stability theory, defining a new Lyapunov-Krasovskii functional and introducing some free-weighting matrices, a new delay-dependent criterion is given to ensure the systems asymptotically stable. The merit of the pro-posed conditions lies in the less conservativeness than the existing ones, which is achieved by consid-ering the mean of time-delay interval and the introduction of the free variables. By the concept of par-allel distributed compensation (PDC), a delay-dependent condition for the existence of a fuzzy state feedback control law with memory is proposed. Another merit is the consideration of the memory of the controller. All conditions are shown in terms of linear matrix inequalities (LMIs), which can be solved efficiently by using the LMI optimization techniques. Two numerical examples are given to il-lustrate the feasibility and validity of the proposed approach.

Fixed-time Congestion Tracking Control for a Class of Uncertain TCP/AQM Computer and Communication Networks

Jindong Shen,Yuanwei Jing,Georgi Marko Dimirovski 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.3

The fixed-time congestion control problem of TCP/AQM networks with UDP flows and un-modeled uncertainties has been studied thoroughly in this paper. The fluid-flow based TCP/AQM network system model is analyzed, and a fixed-time adaptive congestion control algorithm is proposed for the nonlinear network system model with unknown UDP flows and un-modeled uncertainty. The new control algorithm was derived using combined requirements for the fixed-time control and the prescribed performance control by employing the backstepping technique and the fuzzy approximation methodology. The universal approximation property of fuzzy-logic system models is used to deal with the external disturbance and the uncertainty that may appear in the network system. Using the prescribed performance technology, the transient and steady state performances of the tracking error are shown to have been enforced to meet the design requirements. Using the back-stepping methodology, a fixedtime AQM controller is designed so as to ensure that the fixed time of the closed-loop system response remains bounded. The obtained simulation results demonstrate the extent of effectiveness and superiority of the proposed design relative to known previous results.

A new method based on LPP and NSGA-II for multiobjective robust collaborative optimization

Haiyan Li,Mingxu Ma,Yuanwei Jing 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.5

The multiobjective robust collaborative optimization framework consists of optimization both at the system and autonomous subsystem levels. Linear physical programming is used in the system level optimization, which avoids the difficulty in choosing the multidimensional Pareto set. The non-dominated sorting genetic algorithm (NSGA-II) is used in the subsystem optimization with physical objectives. The interdisciplinary incompatibility function and physical objectives have different priority levels. At the first priority level, the best individual should be in the feasible region of the subsystem. At the second priority level, the interdisciplinary incompatibility function of the best individual should be no more than the feasibility threshold. The physical objectives are improved after the achievement of the above levels. A method for producing initial population with feasibility and diversity is proposed to improve the calculation efficiency and accuracy of the subsystem optimization at the first priority level. A method for setting dynamic feasibility threshold is proposed for the non-dominated sorting to help the physical objectives to obtain better solutions at the second priority level. Finally,the results of the speed reducer show that the presented method is efficient.

Study on Multi-Source Localization of Wireless Sensor Network Based on Quantitative Information

Yunting Liu,Hui Guo,Yuanwei Jing,Siying Zhang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.4

Against the problem that quantitative localization is concentrated on single-source localization, this paper studies the quantitative multi-source localization methods based on wireless sensor network. Firstly, the log-quantization strategy which reflects the characteristics of acoustic source is proposed. The sensor node transmits the quantized information to base station according to the measurements and log-quantization strategy. Secondly the based station estimates the location of the sources according to the proposed method termed as multiple source localization based on possibilistic C means clustering algorithm. Finally the efficient of the proposed method is verified by the simulation under different parameters. The simulation results show that the proposed method could accurately estimate the location of source. And the proposed method is robust to the packet loss rate.

Super Twisting Observer-based Arbitrary Convergence Time Sliding Mode Control for Uncertain System

Xuelei Qi,Chen Li,Yuanwei Jing,Hongjun Ma 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3

The problem of integral sliding mode control with arbitrary convergence time for nonlinear uncertainsystems with matched disturbances is studied. In this paper, the prescribed performance arbitrary convergence timeintegral sliding mode controller based on the super twisting disturbance observer is designed to overcome the overshoot problem of the system state response curve at the prescribed time. Compared with the existing similar results,this paper introduces the super twisting disturbance observer into the integral sliding mode controller, which caneffectively compensate the matching disturbance while avoiding the high-frequency chattering problem and ensurethe free-will arbitrary time stable (FATS) of the closed-loop system. In addition, this paper uses the prescribed performance control (PPC) technology to obtain better transient performance. Finally, the effectiveness of the proposedcontrol method is verified through MATLAB simulations.

THE DOMAIN OF ATTRACTION FOR A SEIR EPIDEMIC MODEL BASED ON SUM OF SQUARE OPTIMIZATION

Xiangyong Chen,Chunji Li,Jufang Lu,Yuanwei Jing 대한수학회 2012 대한수학회보 Vol.49 No.3

This paper is estimating the domain of attraction for a class of susceptible-exposed-infectious-recovered (SEIR) epidemic dynamic mo\-dels by using sum of squares optimization. First, the stability is analyzed for the equilibriums of SEIR model, and the domain of attraction in the endemic equilibrium is estimated by using sum of squares optimization. Finally, a numerical example is examined.

THE DOMAIN OF ATTRACTION FOR A SEIR EPIDEMIC MODEL BASED ON SUM OF SQUARE OPTIMIZATION

Chen, Xiangyong,Li, Chunji,Lu, Jufang,Jing, Yuanwei Korean Mathematical Society 2012 대한수학회보 Vol.49 No.3

This paper is estimating the domain of attraction for a class of susceptible-exposed-infectious-recovered (SEIR) epidemic dynamic models by using sum of squares optimization. First, the stability is analyzed for the equilibriums of SEIR model, and the domain of attraction in the endemic equilibrium is estimated by using sum of squares optimization. Finally, a numerical example is examined.