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Closed-loop P-type Iterative Learning Control of uncertain Linear Distributed Parameter Systems

IEEE/CAA Journal of Automatica Sinica 2014年第3期1卷 267-273页

作者： Xisheng Dai Senping Tian Yunjian Peng Wenguang Luo the School of Electrical and Information Engineering Guangxi University of Science and Technology the School of Information and Electrical Engineering Shandong University of Science and Technology the School of Automation Science and Engineering South China University of Technology

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 *** 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 ***,the convergence of the tracking error in L2 and W1,2 space is proved by using Gronwall-Bellman inequality and Sobolev *** the end,a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Algorithm design and analysis Closed loop systems Iterative methods Learning (artificial intelligence) uncertainty Iterative learning control closed-loop P-type learning algorithm distributed parameter system plant uncertain Distributed parameter systems Algorithm design and analysis Iterative learning control follow error uncertainty Closed loop systems iterative methods

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Interval method for Solving Multibody System Dynamic Equation with uncertain parameters 6th

Interval method for Solving Multibody System Dynamic Equatio...

引用

The sixth Asian Conference on Multibody Dynamics(ACMD 2012)

作者： Jinglai Wu Yunqing Zhang Liping Chen Zhen Luo Nong Zhang National Engineering Research Centre for CAD School of Mechanical Science and Technology Huazhong University of Science and Technology School of Mechanical and Mechatronic Engineering University of TechnologySydney UltimoNSW 2007Australia

＜正＞Modern multibody systems containing such as mechanisms,robotics,vehicles,and machines *** often very complex and consist of many components interconnected by mechanical joints and force elements. The governing equations of such systems are often governed by index-3 differential algebraic equations （DAEs）.Although mathematical modeling tools for multibody dynamics simulation have experienced a tremendous growth,most researches were based on the assumption that all parameters of multibody systems are ***,the realistic engineering multibody systems often operate under some degree of uncertainty which may be resulted from variability in their geometric or material parameters,or caused by the

关键词： uncertainty manufacturing tolerances plant uncertain INTEGRATION TIME bar linkage Series expansions material parameter interval method parameters CHEBYSHEV FUNCTIONS scanning method dynamic equation assembly process nonlinear equations

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