CDC2000 Control in Communication Systems

Control in Communication 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	Multi-Parameter Modulation for Secure Communication via Lorenz Chaos Authors: Yanxing Song, Xinghuo Yu, Volume: 1, Page 42 Paper number 1235 Abstract: In this paper, a multi-parameter modulation scheme is proposed for secure communication via Lorenz chaos using an adaptive learning mechanism. It is proved using the Lyapunov method that under the scheme, the tracking performance of the scheme can be guaranteed. It is also shown that by incorporating a low pass filter structure into the structure of the receiver, good tracking performance can be achieved when the signals to be transmitted contain noises. Simulation studies are provided to demonstrate the effectiveness of the method proposed. CD001235.PDF (From Author) TOP Predictive Congestion Control of ATM Networks: Multiple Sources/Single Buffer Scenario Authors: Sarangapani Jagannathan, Jayasree Talluri, Volume: 1, Page 47 Paper number 1342 Abstract: This paper proposes an predictive congestion control methodology for the Available Bit Rate (ABR) service class in an ATM network for the case of multiple node single buffer scenario. Adaptive controller is developed to control traffic where sources adjust their transmission rates in response to the feedback information from the network nodes. Specifically, the dynamics of the buffer is modeled as a nonlinear system and an autoregressive moving average based (ARMAX) adaptive controller is designed to predict the explicit values of the transmission rates of the sources so as to prevent network congestion. Stability analysis of the closed-loop system is presented. Simulation results are provided to justify the theoretical conclusions. CD001342.PDF (From Author) TOP Statistical-Learning Control of an ABR Explicit Rate Algorithm for ATM Switches Authors: Chaouki T. Abdallah, Marco Ariola, Ray Byrne, Volume: 1, Page 53 Paper number 9127 Abstract: This paper illustrates the application of statistical-learning control results for the design of an Available Bit Rate (ABR) congestion control algorithm. The proposed methodology allows us to take into account the nonlinearities of the model and the uncertainty of the parameters in the design phase. Some simulation results are shown. CD009127.PDF (From Author) TOP Call Allocation in Cellular Communication Systems with Overlapping Coverage Authors: Christos G. Panayiotou, Christos G. Cassandras, Volume: 1, Page 55 Paper number 1164 Abstract: This paper addresses the problem of increasing the capacity of a Cellular Communication System. Rather than using the traditional channel allocation schemes, this paper tries to increase the system capacity by utilizing the unavoidable overlap between the coverage areas of adjacent base stations and allocate new calls to the ``least sensitive'' base station. Several simulation results are included that show the benefits of the proposed algorithms compared to the algorithms that already exist in the literature. CD001164.PDF (From Author) TOP Fairness Analysis of TCP/IP Authors: Eitan Altman, Chadi Barakat, Emmanuel Laborde, Patrick Brown, Denis Collange, Volume: 1, Page 61 Paper number 1483 Abstract: Bandwidth sharing between multiple TCP connections has been studied under the assumption that the windows of the different connections vary in a synchronized manner. This synchronization is a main result of the deployment of Drop Tail buffers in network routers. The deployment of active queue management techniques such as RED will alleviate this problem of synchronization. We develop in this paper a mathematical model to study how the bottleneck bandwidth will be shared if TCP windows are not synchronized. This permits to evaluate the improvement in fairness and utilization brought by the deployment of active buffers. Also, this indicates how much a synchronization-based study underestimates the performance of TCP in a non-synchronized environment. CD001483.PDF (From Author) TOP Stability of Hop-by-Hop Congestion Control Authors: Stephan Bohacek, Volume: 1, Page 67 Paper number 1799 Abstract: A hop-by-hop congestion control method is developed. Unlike other hop-by-hop schemes, this method does not require the router to keep track of per-virtual circuit information. Hence, this method puts little computational burden on the router. The method is hop-by-hop based, hence, it allows the flows to quickly adjust to changes in the available bandwidth. The network is modeled as an LPV system. However, standard LPV techniques prove too conservative and alternative methods are applied. It is shown that for certain feedback gains, the system is exponentially stable. CD001799.PDF (From Author) TOP Performance Comparison Of Adaptive And Robust Predictors For Long Range Dependent Signals Authors: Rene K. Boel, Iven M.Y. Mareels, Matthew R. James, Volume: 1, Page 73 Paper number 2048 Abstract: In the context of long range dependent processes we compare robust and adaptive prediction/filtering. The intuitive observation that adaptation achieves optimality asymptotically and outperforms in the long run robust filtering is quantified through the estimation of convergence rates and levels of achievable performance. CD002048.PDF (From Author) TOP