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SimIShopF: An agent-supported simulation tool for intelligent manufacturing systems

SimIShopF: An agent-supported simulation tool for intelligen...

引用

2009 Spring Simulation Multiconference, SpringSim 2009

作者： Ruiz, Nancy Giret, Adriana Botti, Vicente Feria, Victor Department of Information Systems and Computation Polytechnic University of Valencia Valencia46022 Spain Department of Engineering Projects Polytechnic University of Valencia Valencia46022 Spain

The manufacturing field is an area where the application of simulation is an essential tool to validate methods and architectures before applying them on the factory floor. Despite the great number of simulation tools that are available, most of them do not take into account the specific requirements for the "new manufacturing era". Multiagent System technology has demonstrated its utility in manufacturing system modeling and implementation. Agenthood features such as proactivity, reactivity, and sociability may also be useful to associate them with the specific simulation needs of the new manufacturing requirements. In this paper, we present an Agent-supported Simulation Tool for Intelligent Manufacturing systems. The different roles that will be played by agents are defined taking into account the specific manufacturing simulation requirements and the requirements of new manufacturing era. The interaction scenarios are specified to facilitate manufacturing simulation in an appropriate and flexible way.

关键词： Multi agent systems

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Analysis of Two Robust Learning control Schemes in the Presence of Random Iteration-Varying Noise

Analysis of Two Robust Learning Control Schemes in the Prese...

引用

American control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper deals with the design problem of robust iterative learning control (ILC), in the presence of noise that is varying randomly from iteration to iteration. Two ILC schemes are considered: one adopts the previous iteration tracking error (PITE) and the other adopts the current iteration tracking error (CITE), in the updating law. For both schemes, the convergence results are obtained by using a frequency-domain approach, and a comparison between them is presented from the viewpoints of the convergence condition, robustness against plant uncertainty, and delay compensation. It shows that sufficient conditions can be derived to bound the tracking error and make its expectation monotonically convergent in the sense of L_(2)-norm, which work effectively with robustness for all admissible plant uncertainties. Furthermore, the sufficient conditions for both schemes can also be formulated in terms of two complementary functions, which do not depend on the delay time as well as the plant uncertainty and, thus, make them convenient to be checked and solved using the frequency-domain tools. Numerical simulations are included to illustrate the effectiveness of the two proposed ILC schemes.

关键词： Iterative learning control monotonic convergence previous iteration tracking error current iteration tracking error random iteration-varying noise delay compensation delay compensation monotone convergence iterative methods Iterative learning control follow error Scheme design problems Delay time Sufficient conditions learning control

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L_(2)-L_(infinity) Filter Design for Neutral Stochastic Time-Delay systems

L_(2)-L_(infinity) Filter Design for Neutral Stochastic Time...

引用

2010 49th IEEE Conference on Decision and control

作者： Lin Li Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424477456

This paper is concerned with the problem of L_(2)-L_(infinity) filtering for a class of neutral stochastic systems with both discrete and distributed time-varying delays. The purpose is focusd on the design of a full order filter such that the resulting filtering error system is stochastically asymptotically stable in the mean square with a prescribed L_(2)-L_(infinity) disturbance attenuation level satisfied. By employing Lyapunov functional and stochastic stability theory, a delay-dependent sufficient condition for the existence of such a filter is obtained in terms of linear matrix inequalities (LMIs). The desired filter can be obtained by solving two LMIs.

关键词： Stochastic delay systems Filters mean square filter design stochastic systems error system stability theory Delay systems Filtration

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A New Resampling Algorithm for Generic Particle Filters

A New Resampling Algorithm for Generic Particle Filters

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American control Conference

作者： X. Fu Y. Jia J. Du F. Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper is devoted to the resampling problem of particle filters. We firstly demonstrate the performance of classical Resampling algorithm (also called as systematic resampling algorithm) using a novel metaphor, through which the existing defects of Resampling algorithm is vividly reflected simultaneously. In order to avoid these defects, the exquisite resampling (ER) algorithm is induced which involves some exquisite actions such as comparing the weights by stages and generating the new particles based on quasi-Monte Carlo method. Simulations indicate that the proposed ER algorithm can reduce the sample impoverishment effectively and improve the accuracy of estimation evidently, which confirm that ER algorithm is a competitive alternative to Resampling algorithm.

关键词： resampling algorithm Particle filters

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Observer-Based L_(2)-L_(infinity) control for a Class of Stochastic systems with Time-Varying Delay

Observer-Based L_(2)-L_(infinity) Control for a Class of Sto...

引用

2010 49th IEEE Conference on Decision and control

ISBN: (纸本)9781424477456

This paper is devoted to the problem of L_(2)-L_(infinity) control for a class of stochastic time-delay systems via observer-based feedback control. The considered observer contains no time-delay. The purpose is to design an observer-based feedback stabilizing controller such that the augmented closed-loop system is stochastically asymptotically stable with a prescribed L_(2)-L_(infinity) performance satisfied. Based on the stochastic stability theory, a delay-dependent sufficient condition is derived in terms of linear matrix inequalities (LMIs). The observer and controller design method is proposed, while the corresponding explicit expression for the observer and controller gain matrices is also given. Finally, numerical examples and simulation results are included to illustrate the effectiveness of the proposed results.

关键词： stochastic systems system clock time varying stability theory Stochastic delay systems controller gain Closed loop systems

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Model Matching control for MIMO systems with Multiple Time Delays and Its Applications in Adaptive Scheme

Model Matching Control for MIMO Systems with Multiple Time D...

引用

American control Conference

作者： Haixia Su Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper considers the model matching problem of multiple-input multiple-output (MIMO) systems with multiple time delays. The reference model is chosen to be the diagonal delay transfer function matrix. A controller is designed for nominal systems. Furthermore, an adaptive control scheme is proposed for uncertain systems with parameter variation. The resulting scheme can guarantee the global stability of the closed-loop systems and the convergence of the tracking errors. A simulation example is included to illustrate the proposed scheme.

关键词： control system synthesis MIMO Delay effects Programmable control Adaptive control Transfer functions control systems Uncertain systems Stability Convergence

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Non-Fragile control for Trajectory Tracking of Nonholonomic Mobile Robots

Non-Fragile Control for Trajectory Tracking of Nonholonomic ...

引用

American control Conference

作者： Na Ni Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper is devoted to the non-fragile controller design for the trajectory tracking of nonholonomic mobile robots. Using non-linear state feedback and proper coordinate transformation, the model of nonholonomic mobile robots is exactly linearized. Based on which, the non-fragile controller is designed by employing the linear matrix inequality (LMI) approach. Simulation examples are included to illustrate the effectiveness of the proposed controller.

关键词： Trajectory Mobile robots control systems Tracking Robot kinematics Orbital robotics State feedback Error correction Sliding mode control Laboratories

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Networked control of MIMO systems

Networked control of MIMO systems

引用

2009 7th Asian control Conference, ASCC 2009

作者： Albertos, Pedro García, Pedro Cuenca, Ángel Department of Systems Engineering and Control Technical University of Valencia Spain

ISBN: (纸本)9788995605691

In Networked control systems, delays are unavoidable. Moreover, loss of data should be taken into account. Smith-like predictor is the most common approach to cope with delays, but open loop stability is required to ensure internal stability. Some recent results allow dealing with these systems, if a SISO structure is concerned. In this paper, the design of a predictor-observer for possible unstable MIMO delayed systems is proposed. Also, a missing data reconstruction approach is proposed. The main result is illustrated by the networked control of an unstable chemical reactor. ©2009 ACA.

关键词： MIMO systems

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Optimization of proof test policies for safety instrumented systems using multi-objective genetic algorithms

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作者： Torres-Echeverria, A.C. Martorell, S. Thompson, H.A. Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Department of Chemical and Nuclear Engineering Polytechnic University of Valencia Valencia Spain

ISBN: (纸本)9780415485135

This paper addresses the optimization of proof testing policies for safety instrumented systems with redmidant parallel architectures. Testing policies include both the test interval and the test strategy. The approach addresses the requirements of the standard IEC 61508. The Average Probability of Failure on Demand, a measure of system safety integrity, Spurious Trip Rate and Lifecycle Cost are the three objectives used for the optimization. This gives as a resuh optimally balanced testing policies that consider the main aspects for decision making about safety system implementation: safety, reliability and cost. A new model is used for quantification of the time dependent PFD, capable of modelling explicitly different test intervals and different test strategies. It also approaches the issues of common cause failure and diagnostic coverage. The optimization is implemented using tíie NSGA-II genetic algorithm. The method is illustrated through an application case of a system implementing a protective fimction on a chemical reactor. ©2009 Taylor & Francis Group.

关键词： Safety testing

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Modelling test strategies effects on the probability of failure on demand for safety instrumented systems

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ISBN: (纸本)9780415485135

This paper presents a new approximation for modelling the time dependent Probability of Failure on Demand (PFD) for parallel redundant safety systems, focussed on the analysis of the impact that different test strategies have on the system dependability. The model permits to evaluate explicitly the effects of simultaneous, sequential and staggered test strategies, diverse common cause failure rates and diagnostic coverage. It has been developed based on the different evaluation intervals that a module goes periodically through its time in service: test, repair and time between tests. It includes quantification of both detected and undetected failures, and puts special emphasis on the quantification of the contribution of the common cause failure to the system PFD as an additional component. The effectiveness of the model is demonstrated with a practical application case. Additionally, the impact of different common cause failure rates in the system and different diagnostic coverage in the components is analyzed through a sensitivity analysis. © 2009 Taylor & Francis Group.

关键词： Failure analysis

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