CDC2000 Control in Communication Networks

Control in Communication Networks
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	Communication-Limited Stabilization Of Linear Systems Authors: Girish N. Nair, Robin J. Evans, Volume: 1, Page 1005 Paper number 1564 Abstract: This paper investigates the problem of stabilizing a linear, discrete-time plant using a digital link with a finite data rate. The plant model is infinite-dimensional and time-varying, with a real-valued output which is zero at negative times and distributed according to a probability density p at time zero. Finite and infinite horizon costs in terms of the m-th output moment are defined and the equations of the optimal, finite horizon coder-controller derived. Asymptotic quantization theory is then used to obtain the solution as the horizon tends to infinity, without needing to explicitly solve the finite horizon problem. It is shown that this limiting coder-controller is optimal with respect to the infinite horizon cost, provided that p satisfies certain technical conditions. This immediately leads to a necessary and sufficient condition for the existence of a coder-controller that takes the m-th output moment to zero asymptotically with time. If the open-loop plant is finite- dimensional and time-invariant, this condition simplifies to an inequality involving the data rate and the unstable system pole with greatest magnitude. Analagous results automatically hold for the related problem of state estimation with a finite data rate. CD001564.PDF (From Author) TOP Scheduling Of A Limited Communication Channel For Optimal Control Authors: Henrik Rehbinder, Martin Sanfridson, Volume: 1, Page 1011 Paper number 1513 Abstract: In this paper we outline a method for optimal off-line scheduling of a limited bandwidth communication channel that is used for control purposes. We study LQ-control of parallel control processes and describe how the theory for periodic control can be used for defining a cost functional that measures the performances of sampled data systems in relation to desired continuous time performances. This formulation results in a complex combinatorial optimization problem which is solved by exhaustive search and the solution can be viewed as an optimal allocation of the limited communication resources. The resulting optimal sequences are typically such that the sampling is nonuniform but the control law is time varying and computed to take this nonuniform sampling into account. In an example, two inverted pendulums with different closed loop performances that share a common communication resource are studied. The resulting optimal sequences are in agreement with the intuitive idea that the sampling resources should be focused to where they are needed the most, that is, to the controller with the fastest closed loop characteristics. CD001513.PDF (From Author) TOP Bootstrap Filtering for the Position Location Using Wireless Communication on Highways Authors: Sangwoo Cho, Joohwan Chun, Volume: 1, Page 1017 Paper number 9141 Abstract: We propose a new position location algorithm based on the bootstrap filtering using the time difference of arrival (TDOA) measurements. The proposed algorithm imposes nonlinear kinematic constraints on the state estimates without destabilizing the algorithm. Such constraints can be most naturally incorporated in the Bayesian bootstrap filtering framework. The proposed algorithm is verified through simulation, and the result demonstrates that our algorithm is more robust than the extended Kalman filter and the bootstrap filter without constraints. CD009141.PDF (From Author) TOP Robust Synchronizing Motion Control of Twin-Servo Systems Based on Network Modeling Authors: Bong Keun Kim, Wan Kyun Chung, Il Hong Suh, Volume: 1, Page 1019 Paper number 2149 Abstract: In this paper, a robust control method for synchronizing motions of a twin-servo system is proposed. Using the correspondence between the mathematical modeling and the circuit representation, a network representation of twin-servo system is proposed. And a stabilizing control input is designed based on robust internal-loop compensator for the separate system in the presence of uncertainty and disturbance. Skew motion compensating control input is also designed to maintain the synchronizing motion during high speed motion. The stability of the whole closed-loop system is proved based on passivity theory. Through experiments using a semiconductor chip mounting device, the performance of the proposed method is evaluated. CD002149.PDF (From Author) TOP Information Transmission by Adaptive Synchronization with Chaotic Carrier and Noisy Channel Authors: Boris Andrievsky, Alexander Fradkov, Volume: 1, Page 1025 Paper number 2053 Abstract: The signal transmission by means of a pair of synchronized chaotic systems (transmitter and receiver) is considered. The approach of adaptive observers is used for design of the receiver. Two kinds of adaptive algorithms are investigated in the presence of additive noise in the channel. The results are illustrated by a number of numerical examples of signal transmission based on the pairs of synchronized Chua, Duffing and Metzler systems. CD002053.PDF (From Author) TOP