CDC2000 Biomedical System Control

Biomedical System Control
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	Optimal Control Theory Applied To The Anti-Viral Treatment Of AIDS Authors: Jose A. M. Felippe De Souza, Marco Antonio Leonel Caetano, Takashi Yoneyama, Volume: 1, Page 4839 Paper number 1703 Abstract: This work concerns a particular application of the Optimal Control Theory to a model related to HIV infection dynamics. The mathematical model adopted in this work was proposed by Nowak et al., 1996 and describes the dynamics of viral concentration in terms of interaction with CD4 cells and the cytotoxic T lymphocytes, which are responsible for the immune defense of the organism. The control variable is the drug dose, which, in turn, affects the rate of infection of CD4 cells by HIV virus. The cost function to be minimized is a weighted sum of the final viral load and the accumulated side effects. Simulation results show that the optimal control scheme can achieve improved quality of the treatment in terms of reduction in the viral load and quantity of administered drugs, but has the inconvenience related to the necessity of frequent and periodic laboratory analysis to provide feedback information to adjust the doses. CD001703.PDF (From Author) TOP On A Synthesis Of Controls For A Mathematical Model Of Cancer Chemotherapy Authors: Urszula A. Ledzewicz, Heinz M. Schättler, Volume: 1, Page 4845 Paper number 61 Abstract: A simple mathematical model for cancer chemotherapy from the literature is given by an optimal control problem over a finite horizon with control constraint and dynamics given by a bilinear system. We describe some aspects of its synthesis of optimal controls for the cases of an L_1- respectively L_2-objective in the control. In the first case optimal controls are bang-bang while a saturated smooth control is optimal for the quadratic objective. CD000061.PDF (From Author) TOP Optimal Control Applied to Drug Administration in Cancer Chemotherapy: the Case of Several Toxicity Constraints Authors: Alexey S. Matveev, Andrey V. Savkin, Volume: 1, Page 4851 Paper number 2155 Abstract: Cancer chemotherapy for the case of one drug is studied. The negative and inhibiting effect of the tumor on normal cells is taken into account. Under certain assumptions, we determine the optimal regimen that minimizes the tumor burden at the end of a fixed period of therapy, while maintaining certain normal cell populations above prescribed levels. More precisely, it is demonstrated that the optimal strategy corresponds to injection of the drug at the maximal rate. CD002155.PDF (From Author) TOP Multi-Objective Optimal Control of a Heart Assist Device Authors: Dehou Liu, J. Robert Boston, Marwan A. Simaan, James F. Antaki, Volume: 1, Page 4857 Paper number 1740 Abstract: Heart assist devices play an important role in the treatment of heart disease. One of the key issues with these devices is the control of pump speed to satisfy multiple clinical requirements such as providing adequate cardiac output at appropriate left atrial pressure and systolic arterial pressure. A controller based on a multi-objective performance criterion is being developed at the University of Pittsburgh to fulfill these requirements. This paper describes the criterion and the penalty functions from which it is derived. The algorithm was applied to simulated cardiovascular data and to data from animals with implanted assist devices, and some preliminary results on the shape of the non-inferior set defined by the penalty functions were obtained. CD001740.PDF (From Author) TOP Managing Type 1 Diabetes Mellitus In Ambulatory Patients Authors: Lucia Santoso, Iven M.Y. Mareels, Volume: 1, Page 4859 Paper number 1974 Abstract: We present a direct adaptive control/management idea for assisting patients suffering from type 1 diabetes mellitus. It is argued that a static non-linear feedback law is all that can reasonably be implemented given the paucity of the measurement data. CD001974.PDF (From Author) TOP