CDC2000 Sensitivity Design, Analysis and Limitations

Sensitivity Design, Analysis and Limitations
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	Generalized Stability Preserving Maps Authors: Theodore E. Djaferis, Volume: 1, Page 4972 Paper number 1158 Abstract: Matrix stability preserving maps can be used to provide a different characterization of the existence of a fixed order controller that robustly stabilizes a family of plants. In addition, stability preserving map tests can be used as the basis for robust controller synthesis/design methods. In this paper we develop additional stability preserving map tests and demonstrate their use for the robust stabilization of a physical system. Earlier work restricted the order of the controller to be one less than the order of the plant family. Here we allow controllers to have arbitrary order and show how this leads to the concept of a generalized stability preserving map. We conclude the paper with a discussion about tests for such maps. CD001158.PDF (From Author) TOP Fundamental Limits for Sensitivity Reduction in Multiple-Input Multiple-Output Plants Authors: Thomas S. Brinsmead, Graham C. Goodwin, Volume: 1, Page 4978 Paper number 1179 Abstract: By applying known operator theoretic tools for the minimisation of the weighted H-infinity norm of sensitivity, explicit, closed form expressions involving Blaschke products are obtained for fundamental limits on the output feedback control of linear multivariable systems. These depend on both right-hand plane poles and zeroes, and their relative alignment. CD001179.PDF (From Author) TOP Extended Argument Principle and Integral Design Constraints, Part I: A Unified Formula for Classical Results Authors: Jie Chen, Gang Chen, Zhang Ren, Li Qiu, Volume: 1, Page 4984 Paper number 1575 Abstract: In this paper we study Bode and Poisson type integral relations. We call for attention to a link between the well-known argument principle and Bode and Poisson integrals, which seems to have been unnoticed previously. We show how various integral constraints may be unified under an extended version of the argument principle. This enables us to derive the classical Bode and Poisson integral relations in a simple manner, and further to discover new integral formulas of significance for analysis of control design limitation and tradeoff. CD001575.PDF (From Author) CD001575.PDF (Scanned) TOP On The Relationship Between Logarithmic Sensitivity Integrals And Limiting Optimal Control Problems Authors: Richard H. Middleton, Julio H. Braslavsky, Volume: 1, Page 4990 Paper number 1985 Abstract: Two seemingly independent streams of control systems research have examined logarithmic sensitivity integrals and limiting linear quadratic optimal control problems. These apparently diverse problems yield some results with an identical right hand side. The main contribution of this paper is to directly explain the commonality between these streams. This explanation involves the use of Parseval's theorem to derive tight inequality bounds between frequency domain logarithmic sensitivity integrals, and the achievable quadratic performance of a linear time invariant system. CD001985.PDF (From Author) TOP Effects of Radial Shifts of Eigenvalues on Norms of Linear Systems Authors: Jure Medanic, Volume: 1, Page 4996 Paper number 41 Abstract: We show that for linear systems represented in the controllable canonical form there are simple and systematic changes in the input/output properties of the closed-loop system, from the disturbance input to the system output, when controls are applied to produce a radial displacement of all the closed-loop poles. In particular this is true for the transfer function and the impulse response of the system. This in turn leads to a better understanding of how such changes in the control gains affect the induced L2 norm (the H-infinity norm) and the induced L-infinity norm (the L1 norm) of the system. 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