CDC2000 Estimation in Action

Estimation in Action
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	Identification Of Averaged Dynamics Of A Controlled Combustion Instability Authors: Kartik B. Ariyur, Andrzej Banaszuk, Miroslav Krstić, Volume: 1, Page 2017 Paper number 1667 Abstract: Attenuation of thermoacoustic oscillations by active control has lately received considerable attention. In the present work, we identify the averaged dynamics or the dynamics of the amplitude of a controlled thermoacoustic instability. The identification is performed on a lean premixed combustor which has feedback control incorporated to attenuate the amplitude of the thermoacoustic oscillation. For the purpose of control, acoustic pressure in the combustor is sensed and fuel flow actuated by a phase-shifted version of the measured pressure signal. This control strategy, used by several authors in the literature, is motivated by the famous Rayleigh criterion for growth/attenuation of thermoacoustic oscillations. The averaged model we identify consists of a map of equilibrium amplitudes parametrized by the control phase shift, to which all the amplitudes settle exponentially fast from all initial conditions. An equilibrium map is obtained by fitting a curve through the equilibria equilibria found from steady state experiments, and decay rates at these equilibria are estimated from cumulative averaging of several step responses (the steps are in the controller parameter) to eliminate noise. The identified closed-loop model can be used to optimize feedback and for simulation studies. CD001667.PDF (From Author) TOP Shape-Based Optimization of a Plasma Etching Process Authors: Jordan M. Berg, Nan Zhou, Volume: 1, Page 2023 Paper number 2157 Abstract: This paper considers the problem of determining a finite number of discrete parameters appearing in a nonlinear partial differential equation describing a curve evolution process. The method is applied to the plasma etching of thin films for semiconductor manufacturing. Results are obtained within the mathematical framework of level set methods. Here, the evolution of the curve under study is captured through the evolution of a level set function. The underlying physics of the process are completely contained in a scalar function called the speed function. The degree of difficulty of treating the evolution equation depends on the functional dependencies of the speed function. This paper presents optimal estimation and design techniques based on analytical gradient computations for a class of position and orientation dependent speed functions. The technique is demonstrated on a plasma etching model taken from the literature. Only simulation results are presented here, but the model under study has been shown to reproduce experimental data with reasonable accuracy. In the estimation problem, parameters in the model are fit to best match the feature shape measured in experiments. In the optimal design problem, parameter values are selected to most closely attain a desired feature shape. CD002157.PDF (From Author) TOP Model-Based Estimation of Metal Analysis in Steel Converters Authors: Andreas Johansson, Alexander Medvedev, Daniel Widlund, Volume: 1, Page 2029 Paper number 1867 Abstract: A nonlinear observer is developed for metal analysis in the top blown converter process. It is shown that the observer is asymptotically stable and a region of attraction, where the estimation error converges, is derived. Using real plant data from the converter at SSAB Oxelösund AB, the observer is shown to provide accurate estimates of the carbon content. CD001867.PDF (From Author) TOP Decentralized Estimation Of Power System Dynamic Models Authors: V. Venkatasubramanian, Meng Shen, Volume: 1, Page 2035 Paper number 1975 Abstract: The paper proposes a new framework for decoupled on-line estimation of power system dynamic components in the form of input-output models. Feasibility of the framework is illustrated in the paper by successful parameter estimation of traditional generator dynamic models in a 39 bus power system. CD001975.PDF (From Author) TOP Synthetic Attitude and Heading Reference for Saab Gripen Authors: Mats Lundberg, Per-Johan Nordlund, Karin Staahl-Gunnarsson, Volume: 1, Page 2040 Paper number 1063 Abstract: In future versions of Saab Gripen, the mechanical artificial horizon will be replaced by a computer calculated attitude and heading, independent of the inertial navigation system (INS). The system uses data from sensors already existing in the aircraft, which are easily available in a highly integrated, 4th generation combat aircraft such as the Gripen. The sensor information used is a three-axis magnetic detector, true airspeed, angle of attack, barometric altitude, flight control rate gyros and load factor. The sensor data is fused together in an Extended Kalman filter (EKF). Each sensor by itself is of relatively poor quality. For instance, the accuracy of the rate gyros is in the order of degrees per second, rather than degrees per hour as is the case in gyros dedicated for navigational use. However, when all data are combined, they provide an attitude and heading estimate with sufficient quality for its purpose; to cross-monitor the INS, and to serve as a backup in case the INS fails or data can not be displayed. The system is called Synthetic Attitude and Heading Reference System (SAHRS), and is a Saab patent. A similar system is developed and operational in the Saab Viggen. CD001063.PDF (From Author) TOP Observability Conditions of Induction Motors at Low Frequencies Authors: Carlos Canudas de Wit, Ayman Youssef, Jean-Pierre Barbot, Philippe Martin, Francois Malrait, Volume: 1, Page 2044 Paper number 1293 Abstract: The paper studies the observability conditions for the induction motor. We first review the sufficient condition derived by from the classical geometrical analysis, then we present some particular case where these conditions turn out to be also necessary. The purpose of the paper is to clarify observability problems found in particular when the machine is operating at low frequencies. The observability analysis also clarifies the fact that the observability problems are physically due to low frequency operation conditions, rather than to low rotational speed operation (even if these two cases coincides in absence of torque load). CD001293.PDF (From Author) TOP