CDC2000 Process Control Industry Applications

Process Control Industry Applications
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	A Simplified Probing Controller For Glucose Feeding In phEscherichia Coli Cultivations Authors: Mats AAkesson, Per Hagander, Volume: 1, Page 4520 Paper number 1890 Abstract: A strategy for control of the glucose feed rate in cultivations of phE.~coli is discussed. By making probing pulses in the feed rate it is possible to detect and avoid a characteristic saturation linked to undesirable by-product formation. A simplification of a previous algorithm is presented and analyzed. CD001890.PDF (From Author) TOP Observers for the Biotechnological Processes with Unknown Kinetics: Application to Wastewater Treatment Authors: Olivier Bernard, Zakaria Hadj-Sadok, Jean-Luc Gouzé, Volume: 1, Page 4526 Paper number 1489 Abstract: In this paper we present nonlinear observers for a class of biotechnological processes. These observers are an extension of the asymptotic observers (observers with unknown inputs) devoted to biotechnological systems for which some parts of the model are unknown. We take benefit of the outputs which are non linear functions of the state to design a close loop observer. The global convergence of these nonlinear observers is proven. The method is illustrated with an experimental application to a water treatment process. CD001489.PDF (From Author) TOP Robust Interval-Based SISO and SIMO Regulation for a Class of Highly Uncertain Bioreactors: Application to the Anaerobic Digestion Authors: Víctor Alcaraz-González, Abdelmalek Maloum, Jér^ome Harmand, Alain Rapaport, Jean-Philippe Steyer, Víctor González-Alvarez, Volume: 1, Page 4532 Paper number 1677 Abstract: A robust set-valued regulation law is proposed for the stabilization of an anaerobic digester for the treatment of wastewater. This process exhibits a highly nonlinear dynamic behavior. In addition, it must operate in an uncertain environment with the presence of unknown inputs. Supporting some structural and operational conditions, this regulation law exponentially stabilizes the two most important variables in the anaerobic digester: the Chemical Oxygen Demand concentration and the Volatile Fatty Acids concentration around a desirable steady state in the presence of kinetic uncertainties and input disturbances. Simulations are carried out handling operational conditions close to those used in a real plant. CD001677.PDF (From Author) TOP Adaptive Output Feedback Nonlinear Control of a pH Process with an Input Constraint Authors: Tae-Sik Kang, Tae-Woong Yoon, Dae Ryook Yang, Seong-Sik Yoon, Volume: 1, Page 4538 Paper number 1573 Abstract: In this paper an adaptive output feedback nonlinear control scheme is presented for a pH process, which is difficult to control due to the nonlinearities and uncertainties. A nonlinear controller is designed using a backstepping technique to handle the pH process with an input constraint. The backstepping-based controller is combined with state and parameter estimators to deal with unmeasurable state variables and unknown parameters, thereby resulting in an adaptive output feedback nonlinear controller. The input constraint mentioned above is considered in the controller and estimator designs. The stability properties of the proposed scheme are given, and simulation results show that uniform closed-loop performance is obtained despite the nonlinearity, the uncertainties of the parameters, and the unavailability of the state variables. CD001573.PDF (From Author) TOP Constrained Iterative Learning Control of Liquid Slosh in an Industrial Packaging Machine Authors: Mattias Grundelius, Bo Bernhardsson, Volume: 1, Page 4544 Paper number 1423 Abstract: This paper considers the problem of moving a container with liquid without too much slosh in an industrial packaging machine. There is no measurement of the slosh available in the machine to use for control, it is however possible to measure the slosh in a testbed. The problem is to determine the shape of the open loop acceleration reference that is programmed in the motion control system that controls the movement of the containers. In this paper the acceleration reference is calculated using iterative learning control where the results of an experiment are used to refine the acceleration reference to be used in the next iteration. CD001423.PDF (From Author) TOP Multi-Loop Control Of Temperature For TV Glass Furnace Authors: Un-Chul Moon, Kwang Y. Lee, Volume: 1, Page 4550 Paper number 1956 Abstract: This paper presents a practical application of the conventional multi-loop control method for the temperature control of a television glass furnace. To control the temperature of the TV glass furnace, major input-output variables are selected, and simple First-Order-Plus-Dead-Time(FOPDT)models are established with the process experimental data. Based on the FOPDT models, a multi-loop control, which is a combination of cascade and single loops, is used. Practical implementation using the Distributed Control System (DCS) showed satisfactory results of the proposed control algorithm for the 150-ton/day-production furnace. CD001956.PDF (From Author) TOP Dual Composition Control Of A Binary Distillation Columns Based On Nonlinear State Observer Authors: Ferenc Szigeti, Addison Ríos-Bolívar, Leonardo Rennola, Volume: 1, Page 4556 Paper number 9099 Abstract: Dual composition control of binary distillation columns is proposed and solved based on observer design and an elementary state elimination procedure. A particular observer allows us to recover the unmeasured feed composition, which is used in the controller design in order to maintain desired compositions. The method is an alternative against the disturbance decoupling. CD009099.PDF (From Author) TOP