CDC2000 Adaptive Disturbance / Noise Compensation

Adaptive Disturbance / Noise Compensation
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	Direct Adaptive Disturbance Accommodation Authors: Robert J. Fuentes, Mark J. Balas, Volume: 1, Page 4921 Paper number 1994 Abstract: Given any finite set of persistent disturbances that can be represented by a finite sequence of bounded, piecewise continuous functions, it is shown that stable disturbance rejection is possible for command generator tracker (CGT) model reference adaptive control if certain conditions are satisfied. If the system in question is disturbance-free, the addition of disturbance accommodating adaptive gains into the control law will not impede the asymptotic convergence of the tracking error. The special case of adaptive rejection only is derived and almost periodic disturbances are explored. CD001994.PDF (From Author) TOP Global Adaptive Compensation Of Noises With Unknown Frequency Authors: Riccardo Marino, Patrizio Tomei, Volume: 1, Page 4926 Paper number 1461 Abstract: Given an asymptotically stable, observable linear system affected by an additive sinusoidal disturbance with unknown magnitude, phase and frequency, entering where the control input enters (matching case), the problem of designing an output feedback compensator which drives the output to zero for any initial condition is addressed. CD001461.PDF (From Author) TOP An Adaptive Filter For Calibration And Estimation Of Redundant Signals Authors: Asok Ray, Shashi Phoha, Volume: 1, Page 4928 Paper number 8007 Abstract: This paper presents formulation of an adaptive filter for real-time calibration of redundant signals consisting of sensor data and/or analytically derived measurements. The measurement noise covariance matrix is adjusted as a function of the a posteriori probabilities of failure of the individual signals. An estimate of the measured variable is obtained as a weighted average of the calibrated signals. The weighting matrix is recursively updated in real time instead of being fixed a priori. The filter software is presently hosted in a Pentium platform and is portable to other commercial platforms. The filter can be used to enhance the Instrumentationamp; Control System Software in tactical and transport aircraft, and nuclear and fossil power plants CD008007.PDF (From Author) TOP Robust Adaptive Control of Bilinear Plants with High-Order Perturbation Uncertainties Authors: Furong Gao, Cheng Shao, Fuli Wang, Wei Wang, Volume: 1, Page 4934 Paper number 1195 Abstract: The robust adaptive control issue is considered for a class of bilinear plants with uncertainties of high-order unmodelled dynamics and bounded disturbances. The generalized minimum variance control strategy is first employed to give a basic optimal control law, followed by modification of introducing the modelling error estimate to the control law. Modified least-squares scheme with a relative dead zone is developed to work with the control law to form a novel robust adaptive control algorithm, without much priori knowledge of the plant. The resulting closed loop system is proven theoretically to be robustly stable to high-order unmodelled dynamics and bounded disturbances. CD001195.PDF (From Author) TOP Adaptive L_2 Disturbance Attenuation of Hamiltonian Systems with Parametric Perturbation and Application to Power Systems Authors: Tielong Shen, Romeo Ortega, Qiang Lu, Shengwei Mei, Katsutoshi Tamura, Volume: 1, Page 4939 Paper number 50 Abstract: This paper deals with the problem of L_2 disturbance attenuation for Hamiltonian systems. We first show that the L_2 gain from the disturbance to a penalty signal may be reduced to any given level if the penalty signal is defined properly. Then, an adaptive version of the controller will be presented to compensate the parameter perturbation. When the perturbed parameters satisfy a suitable matching condition, it is easy to introduce the adaptive mechanism to the controller. Another contribution of this paper is to apply the proposed method to the excitation control problem for power systems. An adaptive L_2 controller for the power system is designed using the proposed method and a simulation result with the proposed controller is given. CD000050.PDF (Scanned) TOP