CDC2000 New Approaches to H-Infinity Control II

New Approaches to H-Infinity Control II
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	Robust H-Infinity Control of Uncertain Linear Systems via Parameter-Dependent Lyapunov Functions Authors: Carlos E. de Souza, Alexandre Trofino, José de Oliveira, Volume: 1, Page 3194 Paper number 9505 Abstract: This paper addresses the problems of robust H-infinity performance analysis and control synthesis for linear systems subject to uncertain real time-varying parameters. The uncertain parameters enter affinely in the matrices of the system state-space model and the admissible values of the parameters and their rates of variation are supposed to belong to a given polytope. New LMI based methods of robust H-infinity analysis and control design via state feedback are proposed using parameter-dependent Lyapunov functions. CD009505.PDF (From Author) TOP Constantly Scaled H-Infinity Control Problems For Pseudo Full Information Problems Authors: Toru Asai, Volume: 1, Page 3200 Paper number 1825 Abstract: This paper deals with the constantly scaled H-infinity control problem. In general, the solvability condition for this problem is non-convex. However, it is known that the state feedback (SF) and the full information (FI) problems can be reduced to convex problems. In this paper, we consider a class of problems including the SF and the FI problems as the special cases. The class is characterized by an additional assumption called a pseudo full information (PFI) condition. Assuming the PFI condition, we first derive a solvability condition. This condition involves fewer number of variables than the standard solutions for the constantly scaled H-infinity control problem. Based on this condition, we further give a convex sufficient condition for the solvability. The convex solvability condition for the SF and the FI problems can be regarded as the extreme cases of the derived sufficient condition. Moreover, we show that there exists a simple formula of a possible controller, if the PFI condition is assumed. CD001825.PDF (From Author) TOP H-Infinity Control And Frequency Analysis For Systems With Mixed Continuous-Time And Discrete-Time Measurements Authors: Olof Lindgärde, Bengt Lennartson, Volume: 1, Page 3206 Paper number 1939 Abstract: Feedback control using both continuous-time and discrete-time measurements is considered in this paper. A design method including both H-infinity-synthesis and frequency analysis is suggested. It includes a strategy for selecting weighting filters in the control design. The presented frequency analysis method is then a powerful tool in the design process. CD001939.PDF (From Author) TOP Hierarchical Optimization in the Presence of an Intelligent Adversary - an H_(infinity) Approach Authors: Muralidhar Ravuri, Chung-Yao Kao, Alexander Megretski, Volume: 1, Page 3212 Paper number 1915 Abstract: In this paper, we consider the H_(infinity) optimization problem for systems with a hierarchical structure. We propose an iterative algorithm to treat the problem. In each iteration of our algorithm, we need to solve a problem of H_(infinity) optimization feature, but with a much smaller dimension. We also show that the solution of the optimization problem in each iteration can be obtained by solving a set of Linear Matrix Inequalities (LMIs). CD001915.PDF (From Author) TOP H-Infinity Control of Unstable, Uncertain Systems Using Horowitz Bounds Authors: Carl-Magnus Fransson, Bengt Lennartson, Claes Breitholtz, Anders Bondeson, Yueqiang Liu, Volume: 1, Page 3218 Paper number 2071 Abstract: A constrained, two step optimization procedure based on H-inf loop shaping is suggested for highly unstable plants with large parametric uncertainties. With the proposed controller synthesis, optimality is inherited from the H-inf design, and robustness to uncertainties is guaranteed by use of Horowitz bounds. This implies that specifications can be made for the worst case of the sensitivity, the complementary sensitivity, and the controller sensitivity functions. The method is applied to a Tokamak fusion reactor for two different types of sensors, and in this example, optimization of one plant design parameter and one controller tuning parameter will illustrate the procedure. The results are validated by theory for performance limitations of unstable plants, as well as with a manual search over the two dimensional design and tuning parameter space. CD002071.PDF (From Author) TOP Robust And Non-Fragile H-Infinity Controller Design For Affine Parameter Uncertain Systems Authors: Sang Hyun Cho, Ki Tae Kim, Hong Bae Park, Volume: 1, Page 3224 Paper number 1855 Abstract: This paper describes the synthesis of robust and non-fragile H-infinity state feedback controllers for linear time varying systems with affine parameter uncertainties and static state feedback controller with polytopic uncertainty. The sufficient condition of controller existence, the design method of robust and non-fragile H-infinity static state feedback controller, and the region of controllers which satisfies non-fragility are presented. Also using some change of variables and Schur complements, the obtained condition can be rewritten as parameterized Linear Matrix Inequalities (PLMIs), that is, LMIs whose coefficients are functions of a parameter confined to a compact set. We show that the resulting controller guarantees the asymptotic stability and disturbance attenuation of the closed loop system in spite of controller gain variations within a resulted polytopic region. CD001855.PDF (From Author) TOP On Stable H_(infinity) Controller Parameterization Using Doubly Coprime Fractional Representation Authors: Youngjin Choi, Wan Kyun Chung, Youngil Youm, Volume: 1, Page 3230 Paper number 2164 Abstract: Suboptimal H_(infinity) controller is said to internally stabilize the closed loop transfer matrix. However, the stability of controller is not assured in conventional H_(infinity) control theory. Unstable controller can damage the whole system when the sensor fails or actuator saturates. The sufficient condition for the existence of stable H_(infinity) controller is suggested. This paper presents the stable n-dimensional H_(infinity) controller and its parameterization based on the suggested sufficient condition for the linear time invariant systems using doubly coprime factorization. The stability of H_(infinity) controller and closed-loop stability are guaranteed if the positive semi-definite solutions for the suggested three Riccati equations exist. CD002164.PDF (From Author) TOP