CDC2000 Estimation and Closed Loop Identification

Estimation and Closed Loop Identification
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	Model Estimation And Controller Reduction: Dual Closed Loop Identification Problems Authors: Ioan Dore Landau, Alireza Karimi, Volume: 1, Page 1127 Paper number 1284 Abstract: Algorithms for direct controller reduction by identification in closed loop has been recently proposed. In this paper it is shown that the plant model identification in closed loop using closed loop output error identification algorithms and the direct estimation in closed loop of a reduced order controller feature a duality character. Basic schemes, algorithms and properties of the algorithms can be directly obtained by interchanging the plant model and the controller. In the last part of the paper the interaction between plant model identification in closed loop and direct controller reduction is emphasized. CD001284.PDF (From Author) TOP On Numerical Differentiation Algorithms for Nonlinear Estimation Authors: Sette Diop, Jessy W. Grizzle, Francois Chaplais, Volume: 1, Page 1133 Paper number 1876 Abstract: Practical methods of differentiating a signal known only through its on-line samples are much needed, given the numerous areas in control theory and practice where differentiation is encountered. This communication presents theoretical as well as implementation details on several numerical differentiation algorithms which may be useful in the area of nonlinear estimation. In particular, these algorithms may be used as ingredients for alternative solutions to the longstanding problem of observer design for nonlinear systems. CD001876.PDF (From Author) TOP Least-Squares Identification of Dynamic Systems in Closed Loop Authors: Wei Xing Zheng, Hai Feng Wang, Min Li, Volume: 1, Page 1139 Paper number 1050 Abstract: The bias-eliminated least-squares (BELS) methods have been recently proposed as the indirect approach to perform unbiased parameter estimation of closed-loop systems subject to colored noise. This paper introduces a direct approach version of the BELS algorithm for identification of dynamic systems with an ARMAX model structure operating under linear feedback. Built upon linear regression and with no need to estimate parameters of the noise model, the developed algorithm is very attractive computationally while being able to yield open-loop plant parameter estimates with good accuracy. The performance of the developed BELS algorithm is corroborated with simulation results. CD001050.PDF (From Author) TOP LMI-Based State Estimation of a Class of Uncertain Nonlinear Stochastic Systems Authors: Edwin Engin Yaz, Yvonne Ilke Yaz, Volume: 1, Page 1141 Paper number 9014 Abstract: A general class of discrete-time uncertain nonlinear stochastic systems corrupted by finite-energy disturbances is considered. Linear state estimators are designed according to a variety of performance criteria which include guaranteed-cost suboptimal versions of estimation objectives like H-2, H-infinity, stochastic passivity, etc. A common matrix inequality formulation is used in characterization of estimator design equations. CD009014.PDF (Scanned) TOP Global Estimation of n Unknown Frequencies Authors: Riccardo Marino, Patrizio Tomei, Volume: 1, Page 1143 Paper number 1458 Abstract: Given a measurable signal consisting of the sum of n sinusoids with unknown amplitudes, frequencies and phases, a dynamic algorithm is designed which is able to recover, asymptotically, the unknown values of the frequencies, for any initial condition and any value of the frequencies. CD001458.PDF (From Author) TOP Direct Closed-Loop Identification Approach To Unstable Plant Authors: Lianming Sun, Hiromitsu Ohmori, Akira Sano, Volume: 1, Page 1148 Paper number 99 Abstract: This paper deals with the problem of direct closed-loop identification for unstable plant models disturbed by stochastic noise. The unstable plant is stabilized by a digital feedback controller. Then by introducing the output inter-sampling scheme, the plant model is identified from the inter-sampled input-output data of the plant even though the external reference or the test signal does not hold persistently exciting property. Both time and frequency domain approaches are developed and numerical examples are performed to demonstrate the effectiveness of the proposed approaches. CD000099.PDF (From Author) TOP