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IEEE Conference on Decision and control

作者： D.E. Rivera M.D. Pew Department of Chemical and Materials Engineering Control Systems Engineering Laboratory Ira A.Fulton School of Engineering Arizona State University Tempe AZ USA

Supply chain management is concerned with the efficient movement of goods through a network of suppliers and retailers. As delayed dynamical systems, supply chains represent an excellent opportunity for illustrating the benefits of engineering control principles to what may normally be perceived as a "business" process. This paper describes an Excel modeling project developed by the authors for a first-year engineering course at Arizona State University that 1) introduces students to a meaningful application of control engineering principles, and 2) enables them to develop their computer-based problem-solving skills. The project contrasts standard inventory management policies based on traditional Economic Order Quantity (EOQ) approaches with a judiciously-designed Proportional-Integral-Derivative (PID) controller in the case of a single inventory in a supply chain. A well-tuned PID-based policy is able to generate effective decisions on orders that ultimately reduce the need for safety stock, eliminate backorders, and mitigate the "bullwhip effect"; such behavior in an actively managed supply chain represents desirable outcomes for the enterprise.

关键词： Three-term control Supply chain management Supply chains Delay systems control systems Application software control engineering Problem-solving Inventory management Pi control

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Towards control-relevant forecasting in supply chain management

Towards control-relevant forecasting in supply chain managem...

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American control Conference (ACC)

作者： J.D. Schwartz D.E. Rivera K.G. Kempf Control Systems Engineering Laboratory Department of Chemical and Materials Engineering Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA

The focus of this paper is understanding the effects of demand forecast error on a tactical decision policy for a single node of a manufacturing supply chain. The demand forecast is treated as an external measured disturbance in a multi-degree-of-freedom feedback-feedforward internal model control (IMC) based inventory control system. Because forecast error will be multifrequency in nature, the effect of error in different frequency regimes is examined. A mathematical framework for evaluating the effect of forecast revisions in an IMC controller is developed. A simultaneous perturbation stochastic approximation (SPSA) optimization algorithm is implemented to develop an optimal tuning strategy under these conditions. For the IMC-based inventory controller presented it is concluded that the most desirable performance may be obtained by acting cautiously (e.g. implementing small changes to factory starts) to initial forecasts and gradually becoming more aggressive on starts until the actual demand change is realized.

关键词： Supply chain management Demand forecasting Pulp manufacturing Supply chains Predictive models Inventory control Frequency Stochastic processes Approximation algorithms Tuning

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A novel model predictive control algorithm for supply chain management in semiconductor manufacturing

A novel model predictive control algorithm for supply chain ...

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American control Conference (ACC)

作者： Wenlin Wang D.E. Rivera K.G. Kempf Department of Chemical and Materials Engineering Control Systems Engineering Laboratory Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA

Supply chains in semiconductor manufacturing are characterized by integrating dynamics, nonlinearity and high levels of stochasticity. In this paper, we present a novel model predictive control (MPC) algorithm for supply chain management (SCM) in semiconductor manufacturing. A Type II filter is designed to attenuate the integrating noise such as that exhibited by unforecasted customer demand. The selection of the filter gain provides the flexibility to achieve better performance and robustness. The forecast of customer demand plays a critical role in the algorithm. The advantages of this novel MPC algorithm are demonstrated through case studies of a representative supply chain problem in semiconductor manufacturing which involve scenarios of customer demand forecast error and anticipated periodic demand.

关键词： Predictive models Predictive control Prediction algorithms Supply chain management Virtual manufacturing Semiconductor device manufacture Supply chains Filters Demand forecasting Pulp manufacturing

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HIERARCHICAL MODELLING IN bioLOGY: SYSTEMATIC BUILDING OF LIMB MODELS

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IFAC Proceedings Volumes 2005年第1期38卷 49-54页

作者： Cs. Fazekas Gy. Kozmann K.M. Hangos Department of Information Systems University of Veszprém Veszprém Hungary Department of Biomedical Engineering Research Institute for Technical Physics and Materials Sciences Budapest Hungary Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

A multi-level model, that provides a hierarchically structured description of a complex, multi-scale limb system is proposed in this paper for predicting and analyzing movement patters generated by various activation signals. The levels, the sub-models on each level and their interconnections are developed and described following a systematic modelling procedure. The computational properties (degree of freedom and differential index) of the developed model have been analyzed and a sub-model has been transformed to meet the index-one requirement for solving the resulting differential algebraic equation (DAE) model by standard methods implemented in MATLAB. The model is extensively verified against engineering expectations using parameter values found in the literature, and a good agreement was found. Parameter sensitivity analysis has also been performed.

关键词： biomedical system model hierarchical system muscle tendon aponeurosis pennation sarcomere

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Nonlinear control Analysis on Nonholonomic Dynamic systems with Affine Constraints

Nonlinear Control Analysis on Nonholonomic Dynamic Systems w...

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IEEE Conference on Decision and control

作者： Tatsuya Kai H. Kimura S. Hara Department of Mechanical Engineering Grad. School of Engineering Osaka University Japan Biological Control Systems Laboratory RIKEN Bio-Mimetic Control Research Center Japan Department of Information Physics and Computing Grad School of Information Science and Technology University of Tokyo Japan

This paper deals with nonholonomic control systems subject to affine constraints. We first derive several preliminary properties of nonholonomic dynamic systems with affine constraints (NDSAC). We then investigate local accessibility and local controllability of the NDSAC based on both Sussmann's theorem and linear approximation approaches. Conditions for local asymptotic stabilizability of the NDSAC by linear state feedback and nonlinear smooth state feedback are also derived. Finally, two physical examples are illustrated to confirm the results.

关键词： Nonlinear control systems control systems control system analysis Vehicle dynamics State feedback Linear approximation Kinematics controllability Linear feedback control systems biological control systems

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Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hybrid discrete event simulation with model predictive contr...

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Simulation Winter Conference

作者： H.S. Sarjoughian Dongping Huang G.W. Godding Wenlin Wang D.E. Rivera K.G. Kempf H.D. Mittelmann Arizona Center for Integrative Modeling & Simulation Computer Science & Engineering Department Arizona State University Tempe AZ USA Control Systems Engineering Laboratory Chemical & Materials Engineering Department Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Mathematics & Statistic Dept. Arizona State University Tempe AZ USA

Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

关键词： Discrete event simulation Predictive models Predictive control Virtual manufacturing Semiconductor device manufacture Mathematical model Analytical models Manufacturing processes Optimal control Uncertainty

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Unification of dynamic gait generation methods via variable virtual gravity and its control performance analysis

Unification of dynamic gait generation methods via variable ...

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2004 IEEE/RSJ International Conference on Intelligent Robots and systems (IROS) (IEEE Cat. No.04CH37566)

作者： F. Asano Zhi-Wei Luo M. Yamakita Environment Adaptive Robotic Systems Laboratory Bio-Mimetic Control Research Center RIKEN Nagoya Japan Department of Mechanical and Control Systems Engineering Tokyo Institute of Technology Tokyo Japan

The authors have clarified the mechanism of passive dynamic walking from the mechanical energy point of view, and reported its basic results. This paper then considers the generalization and unification of dynamic gait generation methods by introducing variable virtual gravity concept and some solution formulas as well as essential mechanical energy orbits. As two leading methods, energy tracking control and virtual passive dynamic walking are considered, and we analyze the control performances of robust stability and energy-efficiency criterions by numerical simulations. Finally we discuss the application possibility of the methods to actual walking machines from the ZMP point of view.

关键词： Gravity Performance analysis Legged locomotion Mechanical variables control control systems Mechanical energy Orbits Equations Robust stability Numerical simulation

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A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty

A model predictive control strategy for supply chain managem...

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American control Conference (ACC)

作者： W. Wang D.E. Rivera K.G. Kempf K.D. Smith Department of Chemical and Materials Engineering Control Systems Engineering Laboratory Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Components Automation Systems Intel Corporation Chandler AZ USA

Model predictive control (MPC) is presented as a tactical decision module for supply chain management in semiconductor manufacturing. A representative problem which includes distinguishing features of semiconductor manufacturing supply chains, such as material reconfiguration and stochastic product splits, is examined. Fluid analogies are used to model the supply chain dynamics, with stochasticity and nonlinearity occurring on the throughput time, yield and customer demand. Given inventory targets and capacity limits, MPC using linear time invariant models can make the system outputs track the targets and improve customer service levels. The flexibility provided by the choice of tuning parameters in MPC to achieve better performance and robustness in semiconductor manufacturing supply chain management is demonstrated.

关键词： Predictive models Predictive control Supply chain management Virtual manufacturing Semiconductor device manufacture Uncertainty Supply chains Semiconductor materials Stochastic processes Fluid dynamics

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Modeling and control for whole arm dynamic cooperative manipulation

Modeling and control for whole arm dynamic cooperative manip...

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2004 IEEE/RSJ International Conference on Intelligent Robots and systems (IROS) (IEEE Cat. No.04CH37566)

作者： F. Asano Zhi-Wei Luo K. Tahara M. Yamakita S. Hosoe Environment Adaptive Robotic Systems Laboratory Bio-Mimetic Control Research Center RIKEN Nagoya Japan Department of Mechanical and Control Systems Engineering Tokyo Institute of Technology Tokyo Japan Department of Electronic-Mechanical Engineering University of Nagoya Nagoya Japan

This paper studies modeling and bio-mimetic control of a 3D 8-dof whole arm cooperative manipulation system using sensitive skin. A sphere is considered here as a manipulated object. The control law is designed based on integration of voluntary and reflex movements considering the system's redundancy. The voluntary task for holding the object is realized by impedance control at the four contact points with the object using the contact force information from the sensitive skin. The reflection on the other hand is introduced as a regulation problem of the direction between the points of end-effectors and elbows. The solution for the redundant control is formulated and derived from the optimization point of view. The validity of the proposed method is investigated by numerical simulations.

关键词： Manipulator dynamics control systems Skin Robot sensing systems Friction Force control Elbow Numerical simulation Service robots Human robot interaction

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Robustness of dual-rate inferential MPC systems

Robustness of dual-rate inferential MPC systems

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American control Conference (ACC)

作者： J.A. Rossiter J. Sheng T. Chen S.L. Shah Department of Automatic Control & Systems Engineering Sheffield University Sheffield UK Coordinated Science Laboratory University of Illinois Urbana USA Department of Electrical & Computer Engineering University of Alberta Edmonton AB Canada Department of Chemical & Materials Engineering University of Alberta Edmonton AB Canada

This paper investigates the robustness of dual-rate MPC systems with a proposed inferential control strategy. It shows that for some scenarios where a high-frequency model plant mismatch is presented, such dual-rate i... 详细信息

关键词： Robustness Robust stability Predictive models Robust control control systems Predictive control Strontium control system analysis Integrated circuit modeling Time varying systems

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