CDC2000 Robust Control Methods and Applications

Robust Control Methods and 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	Guaranteed Multi-Loop Stability Margins And The Gap Metric Authors: Keith Glover, Glenn Vinnicombe, George Papageorgiou, Volume: 1, Page 4084 Paper number 9007 Abstract: The gap metric and nu-gap metric have many appealing properties for assessing the uncertainty in a plant in a feedback configuration. This short paper addresses the question of relating these generalised stability margins to more traditional single-loop and multi-loop robustness measures. In particular we show that when a system is controlled by a controller which provides a stability margin of epsilon in the gap metric for the weighted plant then if the weighting matrices are diagonal the plant will have robust stability to easily interpreted simultaneous gain and phase variations at all the inputs and outputs. CD009007.PDF (From Author) TOP Robust Pole Placement With Widely Adjustable Parameter Authors: Keiji Watanabe, Zhi-Wei Luo, Guido Izuta, Volume: 1, Page 4086 Paper number 57 Abstract: This paper develops robust pole placement that satisfies mixed sensitivity specification and places pole of the closed-loop system in pre-assigned half plane simultaneously. The feature of the proposed method is that the pre-assigned half plane is broad in comparison with that of affine transformation of standard H-infinity control and multipurpose H-infinity synthesis in LMI. Theoretical background and illustrative numerical example are presented CD000057.PDF (From Author) CD000057.PDF (Scanned) TOP Topological Structure of the Set of Non-Strongly-Stabilizable SISO Systems Authors: Myung-Gon Yoon, Hidenori Kimura, Volume: 1, Page 4092 Paper number 102 Abstract: We study on the robustness of non-strongly stabilizable SISO plants under small perturbations in graph topology. From a new notion of pole-zero shifting, we show that there are two types of non-strongly stabilizable plants: one that can be made strongly stabilizable by arbitrary small perturbations and the other that is essentially non-strongly stabilizable. We provide a simple criterion for this classification and examine its relevance to the simultaneous stabilization problem. CD000102.PDF (From Author) TOP Noncausal Robust Set-Point Regulation Of Nonminimum-Phase Scalar Systems Authors: Aurelio Piazzi, Antonio Visioli, Volume: 1, Page 4098 Paper number 1109 Abstract: In this paper we propose a method, based on dynamic inversion, for the set-point regulation of uncertain nonminimum-phase scalar systems. In particular, the worst-case settling time is minimized taking into account an amplitude constraint on the control variable and limits on the overshoot and undershoot of the output function. The application of the devised methodology yields to the connected design of both the controller and the reference command input. The latter is obtained by solving a special stable inversion problem on the nominal dynamic system that leads to a noncausal signal, causing the so-called ``preaction control''. Eventually, an optimization problem arises and its solution is gained by means of genetic algorithms. A simulation example shows the effectiveness of the overall methodology, despite the inherent difficulty of the addressed problem. CD001109.PDF (From Author) TOP Robust Reflection Coefficients Placement By Quadratic Programming Authors: Ülo Nurges, Ennu Rüstern, Volume: 1, Page 4104 Paper number 1016 Abstract: A new version of pole placement controller design, called robust reflection coefficients placement, is proposed for discrete-time systems. Instead of a single stable point a stable simplex must be preselected in the closed loop characteristic polynomial coefficient space. A constructive procedure for generating simplexis inside the "nice stability region" is given starting from the unit hypercube of reflection coefficients of monic polynomials. This procedure is quite straightforward because, first, an appropriate stable point has to be chosen and then the edges of the stable simplex will be generated by a linear Schur invariant transformation. The procedure of robust controller design by quadratic programming makes use of a stability measure defined as the minimal distance between a preselected stable simplex and vertices of the uncertain interval plant. CD001016.PDF (From Author) TOP Uniform Invariance Principle and Synchronization: Robustness with Respect to Parameter Variation Authors: Newton G. Bretas, Luís Fernando Costa Alberto, Volume: 1, Page 4110 Paper number 1455 Abstract: The object of this work is to obtain uniform estimates, with respect to parameters, of the attractor and of the basin of attraction of a dynamical system and to apply these results to analyze the roughness of the synchronization of two subsystems. These estimates are obtained through an uniform version of the Invariance Principle of La Salle which is stated and proved in this work. CD001455.PDF (From Author) TOP Robust Gain-Scheduled Control In Web Winding Systems Authors: Hakan Koç, Dominique Knittel, Michel de Mathelin, Gabriel Abba, Volume: 1, Page 4116 Paper number 2086 Abstract: The plant is a web transport system with winder and unwinder. Due to a wide-range variation of the radius and inertia of the rollers the system dynamics change considerably. Two different control strategies for web tension and linear transport velocity are presented. The first is an H infinity robust control strategy with varying gains based on a particularity of the plant. The second is an LPV control strategy with smooth scheduling of controllers synthesized for different operating points. The quadratic stability and the quadratic performance of the closed loop system are analyzed. The LPV control strategy gives better results on an experimental setup, for the rejection of the disturbances introduced by velocity variations. CD002086.PDF (From Author) TOP