CDC2000 Implicit and Descriptor Systems

Implicit and Descriptor Systems
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 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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	Stability And Stabilization Of Implicit Systems Authors: Izumi Masubuchi, Volume: 1, Page 3636 Paper number 127 Abstract: This paper is concerned with stability and stabilization of implicit systems. Stability criteria are provided in terms of the Kronecker form, Lyapunov equation and inequality and conditions on extended rank and invertibility of the system pencil. Then stabilization of implicit systems via interconnection is considered based on the notion of initial-freedom preservation as a formulation of regularity of interconnection. To analyze stabilization with initial-freedom preservation, we define complete-stabilizability and zero-detectability. It is shown that stabilizability via interconnection with initial-freedom preservation is equivalent to complete-stabilizability and zero-detectability. Thus standard results on output feedback stabilization of state-space and descriptor systems are generalized to stabilization of implicit systems via interconnection. CD000127.PDF (From Author) TOP More About Non Square Implicit Descriptions For Modelling And Control Authors: Moisés Bonilla-Estrada, Michel Malabre, Volume: 1, Page 3642 Paper number 1323 Abstract: We extend here some of our previous results on non square implicit descriptions which can be used for modelling broader classes of linear systems, for instance systems with internal switches. We introduce ladder systems, for which, though the input-output behaviour can vary from a first order to nth order system (depending on the position of the internal switches), the non square (flat) implicit description is unique. When some conditions are satisfied (on the basis some of our previous results), it is possible to control such an implicit system so that it behaves as a pre-specified model. Our presentation here is mainly oriented towards modelling, with a particular example extracted from agronomical applications. CD001323.PDF (From Author) CD001323.PDF (Scanned) TOP A New Algorithm for Solving Cross-Coupled Algebraic Riccati Equations of Singularly Perturbed Nash Games Authors: Hiroaki Mukaidani, Hua Xu, Koichi Mizukami, Volume: 1, Page 3648 Paper number 8021 Abstract: In this paper, we study the linear quadratic Nash games for infinite horizon singularly perturbed systems. In order to solve the problem, we must solve a pair of cross-coupled algebraic Riccati equations with a small positive parameter. As a matter of fact, we propose a new algorithm, which combines Lyapunov iterations and the generalized Lyapunov equation direct method, to solve the cross-coupled algebraic Riccati equations. The new algorithm ensures that the solution of the cross-coupled algebraic Riccati equations converges to a positive semidefinite stabilizing solution. Furthermore, in order to solve the cross-coupled algebraic Riccati equations, we propose a new Riccati iterations method different from existing method. As another important feature of this paper, our method is applicable to both standard and nonstandard singularly perturbed systems. CD008021.PDF (From Author) TOP Asymptotic Behaviour of the Norm of Input-Output Operators Corresponding to Singularly Perturbed Systems with Multiplicative White Noise Authors: Vasile Dragan, Toader Morozan, Peng Shi, Volume: 1, Page 3654 Paper number 1582 Abstract: In this paper, we study the problem of asymptotic property of the norm of input-output operators related to a class of singularly perturbed stochastic linear systems. The system is under perturbation of multiplicative white noise. By using reduction order and boundary layer techniques, it is shown that the norm of the operator of the perturbed system is less than a given number (gamma) when the small perturbation (varepsilon) tends to zero, if both the related norms of the reduced subsystem and the boundary layer subsystem are less than (gamma). CD001582.PDF (From Author) TOP Disturbance Decoupling In Descriptor Systems Via Output Feedback ---A Parametric Eigenstructure Assignment Approach Authors: G.R. Duan, G.P. Liu, S. Thompson, Volume: 1, Page 3660 Paper number 1724 Abstract: Based on a recently proposed complete parametric approach for eigenstructure assignment in descriptor linear systems via output feedback, disturbance decoupling using output feedback in descriptor linear systems is investigated. Both the dynamical and static disturbance decoupling problems are tackled. Necessary and sufficient conditions for both problems are proposed in terms of the closed-loop eigenvalues and eigenvectors. By arranging these conditions into constraints on the design parameters provided by eigenstructure assignment, the disturbance decoupling problems are converted into eigenstructure assignment problems with extra parameter constraints. The approach guarantees closed-loop regularity, offers certain flexibility and can provide all the degrees of design freedom. An example is investigated to show the effect of the proposed approach. CD001724.PDF (From Author) TOP Strictly Positive Real Lemma for Discrete-Time Descriptor Systems Authors: Li Lee, Jian Liung Chen, Volume: 1, Page 3666 Paper number 1435 Abstract: In this paper, the strictly positive real (SPR) lemma for discrete-time descriptor systems is addressed. The relationship between strict positive realness and bounded realness (BR) of transfer matrices for such systems is developed. Based on this development, an LMI-based necessary and sufficient condition for a descriptor system being admissible and simultaneously SPR is established. CD001435.PDF (From Author) TOP Anticipation Of Linear Systems With State - Feedbacks Authors: Tadeusz Kaczorek, Volume: 1, Page 3668 Paper number 1010 Abstract: The concepts of anticipatory discrete-time and continuous-time systems for singular linear systems are introduced. Necessary and sufficient conditions for anticipation of the linear systems are established. It is shown that the anticipation of singular systems is not invariant under state-feedbacks. A procedure is presented for a suitable choice of state feedback for anticipatory (not anticipatory) system such that the closed loop system is not anticipatory (is anticipatory). CD001010.PDF (From Author) TOP