http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
On P-type Fractional Order Iterative Learning Identification
Yan Li,YangQuan Chen,Hyo-Sung Ahn 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
This paper discusses a practical order identification method for fractional order linear and nonlinear systems, which can adapt and benefit any order dependent system identification methods. Based on the adaptive fractional order iterative learning control (FOILC) results, the P-type fractional order iterative learning identification (FOILI) strategy is applied to estimate the system order iteratively and accurately. Associated with the order sensitivity functions, a series of convergence conditions are derived to optimize the learning gains and to guarantee the monotonic decrease of error bounds. Two illustrative examples are provided to validate the concepts.
Fractional Order Iterative Learning Control
Yan Li,YangQuan Chen,Hyo-Sung Ahn 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, we first discuss in time domain the convergence of the iterative process for fractional order linear systems. Fractional order iterative learning up dating schemes are considered. Moreover, fractional order iterative learning control for time-varying systems in convolution form are analyzed, where generalized fractional order time varying system is proposed. Finally, on esimulation result is provided for illustration.
Autopilots for Small Unmanned Aerial Vehicles: A Survey
HaiYang Chao,YongCan Cao,YangQuan Chen 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.1
UAV users. The UAV flight control basics are introduced first. The radio control system and autopilot control system are then explained from both the hardware and software viewpoints. Several typical off-the-shelf autopilot packages are compared in terms of sensor packages, observation approaches and controller strengths. Afterwards some open source autopilot systems are introduced. Conclusion is made with a summary of the current autopilot market and a remark on the future development.
Exact Maximum Singular Value Calculation of an Interval Matrix
Ahn, Hyo-Sung,Chen, YangQuan IEEE 2007 IEEE transactions on automatic control Vol.52 No.3
<P>In this note, we present a method for calculating the maximum singular value of an interval matrix. First, we provide an algorithm for calculating the maximum singular value of a square interval matrix. Then, based on this algorithm, we extend the result to non-square interval matrix case and to the case of computing the minimum singular value. Through numerical examples, the validity of the suggested methods is illustrated. Particularly, we compare the newly-proposed method with an existing method to show that the new method finds the correct bound of the maximum singular value with no exception</P>
Iterative Learning Control for Multi-agent Formation
Hyo-Sung Ahn,YangQuan Chen 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper employs iterative learning control scheme to generate as equence of control signals for multi-agent formation control. It is assumed that individual agent of a group of multi-agents is governed by nonlinear dynamics, which could be known in part; in such case, we would like to find control sequences of individual agents such that they form a desired formation with respect to other agents, from initial starting points to final stop points. That is, we would like to ensure that the multi-agents form relative desired states with respect to other agents along the desired trajectory. The algorithm established in this paper can beused to find a control sequence of multi-agent systems for keeping relative formation, in off-line tuning manner. The utility of the algorithm established in this paper can be the refore used for finding optimal control strategy of nonlinear dynamic systems with patially available system information.
Periodic Adaptive Compensation of State-dependent Disturbance in a Digital Servo Motor System
Hyo-Sung Ahn,YangQuan Chen,Wonpil Yu 대한전기학회 2007 International Journal of Control, Automation, and Vol.5 No.3
This paper presents an adaptive controller for the compensation of state-dependent disturbance with unknown amplitude in a digital servo motor system. The state-dependent disturbance is caused by friction and eccentricity between the wheel axis and the motor driver of a mobile robot servo system. The proposed control scheme guarantees an asymptotical stability for both the velocity and position regulation. An experimental result shows the effectiveness of the adaptive disturbance compensator for wheeled-mobile robot in a low velocity diffusion tracking. A comparative experimental study with a simple PI controller is presented.
Input-output Finite-time Stability of Switched Singular Continuous-time Systems
Tian Feng,Baowei Wu,Yue-E Wang,YangQuan Chen 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.5
This paper is concerned with the problem of input-output finite-time stability (IO-FTS) for a class of switched singular continuous-time systems. First, the concept of IO-FTS is extended to switched singular systems. Then, by using the average dwell time switching approach and constructing multiple Lyapunov functions, a sufficient condition of IO-FTS for the considered system is presented in the form of linear matrix inequalities (LMIs). Furthermore, based on the derived conditions, a suitable state feedback controller is designed to stabilize the switched singular systems. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed technique.
Zhenlong Wu,Fan Zhang,Gengjin Shi,Ting He,Donghai Li,YangQuan Chen 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
Superheated steam temperature (SST) systems face many control difficulties caused by unknown disturbances and high order dynamics. This is becoming more and more severe due to the rapid growing of intermittent renewable generation. To improve the tracking and disturbance rejection performance of SST systems, a modified active disturbance rejection control (ADRC) is proposed. Based on its equivalent structure, this paper develops the frequency-domain analysis of the modified ADRC to present the influence of parameters on the control performance. Then the modified ADRC based on the frequency-domain analysis is applied to the SST control to verify the superiority of the modified ADRC. Based on the results of the simulation and the field application on a power plant simulator, the modified ADRC can obtain the best tracking performance with a small overshoot and short settling time compared with other comparative controllers. Besides, the modified ADRC has the smallest fluctuation range of SST under the input disturbance and load varying conditions. The superiority of the modified ADRC ensures the satisfactory control performance and shows a great potential in industrial applications.