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| 1 | Closed-loop P-type Iterative Learning Control of Uncertain Linear Distributed Parameter Systems显示文摘An iterative learning control problem for a class of uncertain linear parabolic distributed parameter systems is discussed,which covers many processes such as heat and mass transfer,convection diffusion and transport.Under condition of allowing system state initially to have error in the iterative process a closed-loop P-type iterative learning algorithm is presented,and the sufficient condition of tracking error convergence in L2 norm is given.Next,the convergence of the tracking error in L2 and W1,2 space is proved by using Gronwall-Bellman inequality and Sobolev inequality.In the end,a numerical example is given to illustrate the effectiveness of the proposed method. | Xisheng Dai Senping Tian Yunjian Peng Wenguang Luo | 2014 | IEEE/CAA Journal of Automatica Sinica2014，1，3： | 8 |
| 2 | pth moment exponential stability of general nonlinear discrete-time stochastic systems显示文摘Dear editor,This study researches the pth moment exponential stability of general discrete-time nonlinear stochastic system x_(k+1)=F_(k)(x_(k),w_(k)),F_(k)(o,·)■0Since Lyapunov initiated his stability theory,stability analysis has been one of the most important research topics in mathematics and modern control theory. | Xiushan JIANG Senping TIAN Weihai ZHANG | 2021 | Science China(Information Sciences)2021，64，10： | 3 |
| 3 | Closed-Loop Iterative Learning Control for Discrete Singular Systems with Fixed Initial Shift显示文摘This paper deals with the problem of iterative learning control for a class of discrete singular systems with fixed initial shift. According to the characteristics of the discrete singular systems, a closed-loop learning algorithm is proposed and the corresponding state limiting trajectory is presented.It is shown that the algorithm can guarantee that the system state converges uniformly to the state limiting trajectory on the whole time interval. Then the initial rectifying strategy is introduced to the discrete singular systems for eliminating the effect of the fixed initial shift. Under the action of the initial rectifying strategy, the system state can converge to the desired state trajectory within the pre-specified finite time interval no matter what value the fixed initial shift takes. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach. | GU Panpan TIAN Senping LIU Qian | 2019 | Journal of Systems Science & Complexity2019，32，2： | 1 |
| 4 | Existence and Stability of Positive PeriodicSolution of Delay Logistic Ecosystem with Feedback Control and Diffusion | XIE Zhendong(Department of Automation, Sollth China university of TeChnology, Guangzhou 510640, PRC)TIAN Senping(Department of Industrial Equipment and Control EngilleeTing, South Chilla University ofTechnologyl Guangzhou 510640, PRC)LIU Yongqing(Departm | 1999 | Systems Science and Systems Engineering1999，9，2： | 0 |
| 5 | On a novel tracking differentiator design based on iterative learning in a moving window显示文摘Differential signals are key in control engineering as they anticipate future behavior of process variables and therefore are critical in formulating control laws such as proportional-integral-derivative(PID).The practical challenge,however,is to extract such signals from noisy measurements and this difficulty is addressed first by J.Han in the form of linear and nonlinear tracking differentiator(TD).While improvements were made,TD did not completely resolve the conflict between the noise sensitivity and the accuracy and timeliness of the differentiation.The two approaches proposed in this paper start with the basic linear TD,but apply iterative learning mechanism to the historical data in a moving window(MW),to form two new iterative learning tracking differentiators(IL-TD):one is a parallel IL-TD using an iterative ladder network structure which is implementable in analog circuits;the other a serial IL-TD which is implementable digitally on any computer platform.Both algorithms are validated in simulations which show that the proposed two IL-TDs have better tracking differentiation and de-noise performance compared to the existing linear TD. | Xiangyang Li Rafal Madonski Zhiqiang Gao Senping Tian | 2023 | Control Theory and Technology2023，21，1： | 0 |
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