The paper describes a new, open control paradigm for discrete, repetitive shop floor production, designed as a solution for agile manufacturing reengineering through (a) multi-agent robot service reconfiguring and (b)...
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The paper describes a new, open control paradigm for discrete, repetitive shop floor production, designed as a solution for agile manufacturing reengineering through (a) multi-agent robot service reconfiguring and (b) implementing the robot service access model (RSAM) in a distributed, semi-heterarchical production planning, scheduling and execution control architecture. This distributed architecture integrates two layers with generic functionalities: (1) Dynamic reconfiguring of the resource (robot-vision) service access model RSAM through a multi-agent system organization; (2) Holonic manufacturing scheduling (robot allocation), control and tracking based on the PROSA holarchy and the Intelligent Product technology - implemented through intelligent embedded devices (acting as Active Holon Entities) which use OpenEmbedded Linux as real-time operating system. Experimental results are reported from production scenarios tested in the two shop-floor platforms of the Laboratories AIP-PRIMECA (University of Valenciennes) and CIMR (University Politehnica of Bucharest) composed by robot-vision workstations.
The paper presents a new design method for low-cost fuzzy control systems used in mechatronics, characterized by second-order dynamics of integral type, controlled by two-degree-of-freedom Pi-fuzzy controllers. The me...
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ISBN:
(纸本)1424408296;97
The paper presents a new design method for low-cost fuzzy control systems used in mechatronics, characterized by second-order dynamics of integral type, controlled by two-degree-of-freedom Pi-fuzzy controllers. The method, referred to as delta domain design, consists of three design steps based on continuous-time linear case design results expressed in terms of the Extended Symmetrical Optimum method applied in the delta domain, followed by the transfer of these results to the fuzzy case. The new design method and Mamdani Pi-fuzzy controllers are validated by real-time experiments in controlling a nonlinear servosystem.
作者：
Y. WakasaY. YamamotoDept. of Applied Analysis and Complex Dynamical Systems
Graduate School of Informatics Kyoto University Kyoto Japan. Yuji Wakasa was born in Okayama
Japan in 1968. He received the B.S. and M.S. degrees in engineering from Kyoto university Japan in 1992 and 1994 respectively. From 1994 to 1998 he was a Research Associate in the Department of Information Technology Okayama University. Since April 1998 he has been a Research Associate in the Graduate School of Informatics Kyoto University. His current research interests include robust control and control system design via mathematical programming. Yutaka Yamamoto received his B.S. and M.S. degrees in engineering from Kyoto University
Kyoto Japan in 1972 and 1974 respectively and the M.S. and Ph.D. degree in mathematics from the University of Florida in 1976 and 1978 respectively. From 1978 to 1987 he was with Department of Applied Mathematics and Physics Kyoto University and from 1987 to 1997 with Department of Applied System Science. Since 1998 he is a professor at the current position. His current research interests include realization and robust control of distributed parameter systems learning control sampled-data systems and digital signal processing. Dr. Yamamoto is a receipient of the Sawaragi memorial paper award (1985) the Outstanding Paper Award of SICE (1987) Best Author Award of SICE (1990) the George Axelby Outstanding Paper Award of IEEE CSS in 1996 Takeda Paper Prize of SICE in 1997. He is a Fellow of IEEE. He was an associate editor of Automatica. He is currently an associate editor of IEEE Transactions on Automatic Control Systems and Control Letters and Mathematics of Control Signals and Systems. He is a member of the IEEE the Society of Instrument and Control Engineers (SICE) and the Institute of Systems Control and Information Engineers.
This paper presents a design method of control systems such that a designer can flexibly take account of tradeoffs between evaluated uncertainty ranges and the level of control performance. The problem is reduced to a...
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This paper presents a design method of control systems such that a designer can flexibly take account of tradeoffs between evaluated uncertainty ranges and the level of control performance. The problem is reduced to a BMI problem and approximately solved by LMIs. The convergence of the proposed approximation is proved in a modified sense. A numerical example shows the effectiveness of the proposed method in comparison with the standard robust control.
The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into a...
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The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.
The paper indicates an analytic computing relation for the solution to Riccati differential matrix equation and -based on that- it establishes the weight matrices influence on the solution of the equation and on the L...
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The paper indicates an analytic computing relation for the solution to Riccati differential matrix equation and -based on that- it establishes the weight matrices influence on the solution of the equation and on the LQ-Problem’s criterion minimum value either. It indicates also an efficient way for the optimal controller implementation.
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