CDC2000 Advanced Topics in Systems Theory

Advanced Topics in Systems Theory
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	Using Local Tests To Estimate Convergence Rates For Identification Authors: Albert Benveniste, Bernard Delyon, Volume: 1, Page 1985 Paper number 401 Abstract: Convergence rates and related Central Limit theorems have been the subject of numerous papers. In 1987, a systematic link was first established by the first author between 1/ system identification, and 2/ model validation or testing for small changes. Similarities and relations are discussed in the book by Benveniste, Metivier, and Priouret, part I, chap 5, and this so-called local approach has proved very successful in practical applications. In this paper, we first revisit and clarify this relationship, and propose in addition new simple proofs for stationary systems. Except for specific algorithms (e.g., regression models) estimating the convergence rate of an identification procedure is difficult. Even if there are general Central Limit Theorems available, building the corresponding estimators in practice is not easy. We propose a practical alternative, based on the relation between identification and local testing, and we propose a bootstrap-like estimator for the convergence rate. CD000401.PDF (From Author) TOP On the Identification of Recurrent Neural Nets Authors: Dietmar Trummer, Manfred Deistler, Volume: 1, Page 1991 Paper number 402 Abstract: In this paper observationally equivalence for so-called Jordan networks, which are a special class of recurrent networks, is analysed. We show this type of neural nets to belong to a wider class of mixed networks and use the description of observationally equivalence available for the latter class for obtaining the respective results for the first class. CD000402.PDF (From Author) TOP On The Parametrization Of J-Spectral Factors Authors: Siep Weiland, Andrea Gombani, Volume: 1, Page 1996 Paper number 403 Abstract: This paper considers a parametrization of a class of J spectral factors of a J spectral density. The notion of a J-stable spectral factor is introduced and it is shown how four extremal J-spectral factors can be derived from each other. Some applications of J-spectral factorizations in representation theory and H_(infinity) control theory are discussed. CD000403.PDF (From Author) TOP Pole Behaviour In Identification Authors: Laurent Baratchart, Reinhold Küstner, Volume: 1, Page 2001 Paper number 404 Abstract: We prove that the output error method with white noise input, when applied to a fractional filter with two cells, yields a model whose poles cluster to the hyperbolic geodesic between the two singularities. CD000404.PDF (From Author) CD000404.PDF (Scanned) TOP Some Links Between 2D Laplace Inverse Problems and Approximation in Hardy Classes: Constructive Identification and Stability Properties Authors: Slim Chaabane, Mohamed Jaoua, Juliette Leblond, Volume: 1, Page 2005 Paper number 405 Abstract: We consider the inverse problem of identifying a Robin coefficient on some part of the boundary of a smooth 2D domain from overdetermined data available on the other part of the boundary, for Laplace equation in the domain. Using tools from complex analysis and analytic functions theory, we provide a constructive and convergent identification scheme, together with a stability result for this inverse problem. CD000405.PDF (From Author) TOP Parameter Determination For Surface Acoustic Wave Filters Authors: Laurent Baratchart, Andrea Gombani, Martine Olivi, Volume: 1, Page 2011 Paper number 406 Abstract: Since many years now Surface Acoustic Wave filters have been used in electronic devices; nevertheless, some physical constraints make the optimal tuning an interesting mathematical problem. We investigate some aspects of this problem and its relation to the well-known Schur parameters which naturally arise due to the presence of internal reflectors. CD000406.PDF (From Author) TOP