CDC2000 Manufacturing Systems

Manufacturing Systems
Home Full List of Titles 1: Proceedings of CDC2000 Discrete Event Systems Control in Communication Systems Optimal Control and Applications I Optimisation Approaches and Methods Model Predictive Control Advances in Linear Estimation Stochastic and Uncertain Systems Nonlinear Control and Applications Nonlinear Estimation and Filtering Formation Control and its Applications New Approaches to Fuzzy Control Manufacturing Systems Automotive Applications Stability Issues in Hybrid Control Recent Advances in Stochastic Networks Optimal Control and Applications II Robust Controller Design - mu, L1 and H2 Constrained and Receding Horizon Control Identification and Control around the World Markov Decision Processes Nonlinear Optimisation Observers for Nonlinear Systems Motion Planning Neural / Fuzzy Stability and Control Motor Control Control of Quantum Phenomena I Hybrid Systems Methods Control in Communication Networks Robustness and Optimisation Bumpless Transfer, Antiwindup and Saturation Adaptive Control: Linear Systems Estimation and Closed Loop Identification Control of Markov Processes Nonlinear Filtering and Control Modelling, Identification and Validation of Nonlinear Systems Differential Geometric Control Theory for Mechanical Systems Nonlinear Output Feedback Control Pneumatics and Compression Systems Control of Quantum Phenomena II Stability of Hybrid Systems Performance Analysis in Communication Networks Adaptive Control of Nonlinear Systems LMI Methods in Design Robust Control of Time Delay Systems Subspace Identification Methods Nonlinear Stochastic Filtering and Estimation Bifurcations, Chaos and Control I New Progress in Synthesis of Nonlinear Systems I Implementation Issues of Sliding Mode Control Theory Control of Mixing in Shear Flows Novel Neural Network Control Techniques for Industrial Motion Control Systems Physiological Control Systems Optimal Control of Hybrid Systems Stochastic Models for Communication Networks Control and Stabilisation of Nonlinear Systems New Directions in Robust Control Linear Systems Theory Advanced Topics in Systems Theory Estimation in Action Bifurcations, Chaos and Control II New Progress in Synthesis of Nonlinear Systems II Numerical Design and Analysis Techniques for Nonlinear Systems Analysis and Control of Underactuated Systems Sliding Mode Control I Challenges in the Application of Control to Computer Systems Estimation and Diagnosis of Discrete Event Systems Communications and Games Optimal Control Stochastic Systems Model Reduction Methodologies Identification and Subspace Methods Applications of Nonlinear Adaptive Control Advances in Nonlinear Output Feedback Design The Behavioural Approach to Systems and Control Vision Based Estimation and Control: Recent Advances and Open Problems Agile Control of Military Operations Sliding Mode Control II Model-based Fault Diagnosis of Industrial Processes Discrete Event Systems / Petri Nets System Identification and Confidence Estimation New Approaches to H-Infinity Control I Probabilistic Approaches to Robust Control Time Delay System Stabilisation Identification Methods Controlled Stochastic Processes Output Feedback of Nonlinear Systems Topics in Nonlinear Stabilisation Mobile Robots: Tracking Control Robust Control of Nonlinear Systems Power Systems Stabilisation and Control Disk Drive Control Hybrid Control Applications Discrete Time Systems New Approaches to H-Infinity Control II Linear Systems with Saturating Actuators New Theories in Distributed Parameter Systems Applications of Estimation and Identification Stochastic Control and Tuning Methodologies Control of Nonlinear Systems Iterative Learning and Control Coordinating Robot Systems Nonlinear Time Varying Systems Novel Applications of Neural Networks Aerospace Applications Switched Systems Implicit and Descriptor Systems LQG Periodic Systems and Disturbances New Horizons for Distributed Parameter Systems State Estimation Learning and Neuro-Control Nonlinear Control and Stabilisation I Tracking Vision Servoing Controllability of Nonlinear Systems Control of Flexible Systems Electro-Mechanical Systems Robust Control Methods and Applications Fault Detection and Diagnosis Optimisation and Applications Robust Stability Analysis Numerical Methods in Control Filtering in Continuous Time Stochastic Systems Interplay between Control and Signal Processing Fault Detection and Analysis Nonlinear Dynamical Systems Nonlinear Time Delay Systems Computational Issues in Nonlinear Control Disturbance Rejection Process Control Industry Applications Linear Parameter Varying Systems Linear Control Systems Dynamic and Nonlinear Programming Model Reduction Applications New Techniques for Control and Systems: Numerical Linear Algebra Estimation and Identification using Hidden Markov Models Applications of Stochastic Control Topics in Linear Design Nonlinear Control and Stabilisation II Ambulatory Robot Systems Chaotic and Oscillatory Systems Biomedical System Control Integrated Control and CPU Scheduling Linear Design Techniques Adaptive Disturbance / Noise Compensation Nonlinear Model Predictive Control Sensitivity Design, Analysis and Limitations Analysis of Linear Systems Linear Matrix Inequalities in Design Lyapunov's 2nd Method Robotics: Tracking Control Lagrangian and Hamiltonian Theory Variable Structure Control Machine Vision Signal Processing Methods in Control Applied Nonlinear Control Author Index A B C D E F G H I J K L M N O P Q R S T U V W X Y Z	Customer Demand Satisfaction in Production Systems: a Due-Time Performance Approach Authors: Jingshan Li, Semyon M. Meerkov, Volume: 1, Page 400 Paper number 1224 Abstract: The problem of customer demand satisfaction in production systems with unreliable machines and finite Finished Goods Buffers (FGB) is addressed. The measure of customer demand satisfaction, referred to as the Due-Time Performance (DTP), is characterized by the probability to ship to the customer a required number of parts during a fixed time interval. A method for DTP calculation is developed and applied within a case study. CD001224.PDF (From Author) TOP On-Line Concurrent Estimation Of Priority Queueing Systems With Feedback Controlled And Non-Renewal Input Streams Authors: Fumio Ishizaki, Volume: 1, Page 406 Paper number 1851 Abstract: We consider a discrete-time single-server priority queueing system where the arrival process is comprised of feedback controlled streams and non-renewal streams. Such a priority queueing system frequently appears in various applications. For the priority queueing systems, we develop an on-line concurrent performance estimation technique, which uses a proportional relation between the stationary distributions of the queueing systems with different buffer capacity. Our technique is useful to various controls for dynamic buffer allocation in multimedia networks. CD001851.PDF (From Author) TOP Synthesis of Hierarchical Procedural Controllers Authors: Ross Baird, Maria Celeste Colantonio, Sandro Macchietto, Volume: 1, Page 412 Paper number 1862 Abstract: This paper introduces Hierarchical Procedural Control Theory. It builds on the properties of Decomposition Theory to provide a mechanism to tackle large scale problems in synthesising sequential controllers for discrete-event batch operations. The generic behaviour of all the controllers is modelled as a finite state machine (FSM), enabling them to be combined and operated in series and parallel by other sequential controllers in a hierarchical structure. An application to a Clean in Place process in a Batch Pilot Plant is shown. CD001862.PDF (From Author) TOP Model Aggregation For Hierarchical Control Synthesis Of Discrete Event Systems Authors: Haoxun Chen, Hans-Michael Hanisch, Volume: 1, Page 418 Paper number 1096 Abstract: A model aggregation approach is developed for discrete event systems described by condition/event automata, a class of condition/event systems. It is based on input-output equivalence of the systems. With the approach, a higher level model of a plant in the hierarchical control synthesis of discrete event systems can be derived from a lower level model by hiding insignificant states and events while keeping the input-output behaviour of the plant invariant in view of the higher level. CD001096.PDF (From Author) TOP Petri Net Monitor Design with Control and Observation Costs Authors: Francesco Basile, Pasquale Chiacchio, Alessandro Giua, Volume: 1, Page 424 Paper number 1920 Abstract: The classical partition of the event set into controllable and uncontrollable events from supervisory control theory is replaced by introducing the concept of control and observation cost of an event. This leads naturally to consider an optimal control problem for a given logical control specification. Here the case of generalized mutual exclusion constraint is considered for a Petri net plant. It has been shown that a constraint of this kind may be enforced via a monitor place. In this paper we propose an integer programming approach to synthesize the optimal monitor so as to minimize a given cost. CD001920.PDF (From Author) TOP Performance Optimization Of Discrete Event Systems With Failures Using Fluid Petri Nets Authors: Xiaolan Xie, Volume: 1, Page 430 Paper number 1456 Abstract: Performance evaluation and optimization of failure-prone discrete event systems are addressed in this paper. Our analysis is based on a fluid stochastic event graph model that is a decision-free Petri net. In a fluid Petri nets, each place holds a continuous flow instead of discrete tokens of conventional Petri nets. A transition can be in operating state or in failure state. A transition in operating state can fire at its maximal speed and a transition in failure state cannot fire. Jumps between failure and operating states are independent of the firing conditions and the sojourn time in each state is a random variable of general distribution. For performance evaluation, a set of evolution equations that determines continuous state variables at epochs of discrete events is established. Based on the evolution equations, we prove that the cumulative firing of transitions are Lipschitz continuous, non-decreasing and concave functions of system parameters including maximal firing rates and the initial marking. Gradient estimators of the cumulative firings with respect to the system parameters are derived and their properties established. Finally, an optimization problem of the system parameters that maximizes a concave function of throughput rate and the system parameters is addressed. CD001456.PDF (From Author) TOP Optimal Flow Control For Manufacturing Systems Modelled By Continuous Petri Nets Authors: Dimitri Lefebvre, Volume: 1, Page 436 Paper number 1008 Abstract: This work deals with optimal flow control for manufacturing systems that are modelled by continuous Petri nets. The control design consists in defining the time intervals while the machines are working and the time intervals while they are not, in order to minimise the production cost. Results are discussed and compared with the ones obtained with the Wilson model. CD001008.PDF (From Author) TOP