CDC2000 Discrete Time Systems

Discrete Time 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 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	On Reachability of Positive Linear Discrete-Time Systems with Scalar Controls Authors: Ventsi G. Rumchev, Volume: 1, Page 3159 Paper number 1075 Abstract: Positive systems are defined as systems in which the state trajectory is always positive (or at least non-negative) whenever the initial state is positive (non-negative). Positive linear systems are defined on cones and not on linear spaces and that is why the reachability and controllability tests for linear systems prove to be false. In this paper necessary and sufficient condition for reachability of discrete-time positive linear systems with scalar input is proved. Criteria for recognizing the reachability property of such systems are presented and complete characterizations of the generic structure of reachable non-negative pair (A, b) in both algebraic and graph-theoretic forms are developed. The paper gives a new general treatment of reachability properties of scalar-input positive linear systems. CD001075.PDF (From Author) TOP Self-Bounded (A,B)-Invariant Polyhedra Of Discrete-Time Systems Authors: Carlos E.T. Dórea, Jean-Claude Hennet, Volume: 1, Page 3163 Paper number 1194 Abstract: This work extends the concept of self-bounded (A,B)-invariant subspaces to convex polyhedral sets. Self-bounded (A,B)-invariant polyhedra are defined and characterized. Necessary and sufficient conditions under which a given polyhedron is self-bounded are established in the form of linear matrix relations. It is then shown that the class of self-bounded sets contained in a given region has an infimum, that is, a self-bounded set which is contained in any set of this class. The infimal set is characterized and a numerical method is proposed for its computation in the polyhedral case. It is also shown how these results can be extended to systems subject to control constraints and bounded additive disturbances. A numerical illustrative example is finally presented. CD001194.PDF (From Author) TOP On Discrete Time Nonnegative Storage Functions And State Functions Authors: Osamu Kaneko, Takao Fujii, Volume: 1, Page 3169 Paper number 1340 Abstract: In this paper, we study discrete time dissipativeness. Particularly, we focus on storage functions. Differently from the continuous time case, every storage function is not necessarily a state function in discrete time. For this problem, this paper shows that a every nonnegative storage function is a state function in discrete time. In addition, we provide some of the necessary and sufficient conditions for the existence of the nonnegative storage function. CD001340.PDF (From Author) TOP Nonnegative Linear Systems In The Behavioral Approach: The Autonomous Case Authors: Maria Elena Valcher, Volume: 1, Page 3175 Paper number 1207 Abstract: Nonnegative linear systems, which have been traditionally investigated within the state-space framework, are here introduced and analyzed by means of the behavioral approach. Starting from certain definitions and results which have been presented in a recent paper by Nieuwenhuis (Nieuwenhuis, J.W.. "When to call a linear system nonnegative". Linear Algebraamp; its Appl., vol. 281, pp.43-58, 1998), we have explored the general autonomous case, by deriving an extended set of necessary and sufficient conditions for an autonomous behavior to be nonnegative. CD001207.PDF (From Author) TOP Dead-Beat Control Laws For Impacting Systems In Presence Of Uncertainties Authors: Laura Menini, Antonio Tornambè, Volume: 1, Page 3181 Paper number 1025 Abstract: The problem of regulating the position of a simple mechanical system subject to non-smooth impacts in finite time is considered. A simple solution based on a discrete-time formulation of the problem is given for the nominal system. After studying the problems arising with such a compensator if a perturbation in the position of the constraint is not taken into account, a different control law is proposed in order to overcome such difficulties. CD001025.PDF (From Author) TOP Observers Design For Linear Time-Varying Systems Authors: Mohamed Boutayeb, Mohamed Darouach, Volume: 1, Page 3183 Paper number 124 Abstract: In this note we give some results on the convergence of the Kalman Filter (K.F.) when used as an observer for linear time-varying systems. Based on the block-input / block-output state model, we prove that the state observer given in [7] is equivalent to the K.F. algorithm. One of the main features, however, is that no assumption on the invertibility of the state matrix, namely Ak in the paper, is needed and the computational requirements are reduced. Furthermore, the obtained result can be extended, by duality, to resolve the state feedback control problem. CD000124.PDF (From Author) TOP (cursive-l)_1 Controller Design For A High-Order 5-Pool Irrigation Canal System Authors: Pierre-Olivier Malaterre, Mustafa Khammash, Volume: 1, Page 3188 Paper number 2005 Abstract: The aim of this work is to present an application of recent methods for solving the l1 design problem, based on the Scaled-Q approach, on a high-order, non-minimum phase system. We start by describing the system which is an open-channel hydraulic system (e.g.: an irrigation canal). From the linearization and discretization of the set of two partial-derivative equations, a state-space model of the system is generated. This model is a high-order MIMO system (five external perturbations w, five control inputs u, five controlled outputs z', five measured outputs y, 65 states x) and is non-minimum phase. A controller is then designed by minimizing the l1 norm of the impulse response of the transfer matrix between the perturbation w and the output z=[z'; z''], where the five additional variable z'' are defined as z''=D_u.u. Considering this additional transfer (w to z'') in the minimization problem leads to a better posed problem and provides much better robustness margins. Time-domain template constraints are added in order to force integrators into the controller. The numerical resolution of the problem proved to be efficient, despite of the characteristics of the system. The obtained results are compared in the time-domain to classical PID and LQG controllers, both on linear and non-linear simulated plants. The results proved to be very good in terms of performance and robustness, in particular for the rejection of the worst-case perturbation. CD002005.PDF (From Author) TOP