CDC2000 Disturbance Rejection

Disturbance Rejection
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 Controller Order Reduction By Identification In Closed Loop Applied To An Active Suspension Authors: Ioan Dore Landau, Aurelian Constantinescu, Alireza Karimi, Volume: 1, Page 4479 Paper number 1281 Abstract: After briefly reviewing some algorithms for direct controller order reduction by identification in closed loop using simulated and real data, validation tests are proposed. Then the methodology is illustrated by its application to controller order reduction for an active suspension system. Experimental results are presented. CD001281.PDF (From Author) TOP Robust Broadband Control of Acoustic Duct Authors: Atul G. Kelkar, Hemanshu R. Pota, Volume: 1, Page 4485 Paper number 1657 Abstract: Passivity-based robust controller design methodology is presented for a broad-band control of acoustic duct. Controller design is based on finite-dimensional approximation and is shown to be robust to unmodeled dynamics and parametric uncertainties. The acoustic duct model being inherently non-passive, passification techniques are used to render the system passive. The control design methodology exploits inherent robustness of passivity-based controllers and selective mode attenuation capability of resonant mode controllers. The resulting controller is low-order, robust, broadband, and has guaranteed stability. CD001657.PDF (From Author) TOP Modelling And Control For Vibration Suppression In A Large Flexible Structure With Jet Thrusters And Piezoactuators Authors: Francesco Casella, Arturo Locatelli, Nicola Schiavoni, Volume: 1, Page 4491 Paper number 1068 Abstract: Active control of vibrations is a fundamental subject in the field of large flexible space structures. This paper discusses the problem of modelling and simulation of a laboratory structure equipped with both air jet thrusters and piezoactuators, which is not a trivial issue in the latter case, and proposes four different control systems, both centralised and decentralised, using either or both kind of actuators, in order to exploit their specific features at their best. Some experimental results are also presented. CD001068.PDF (From Author) TOP A Design of Low-Order Active Noise Controllers in a Small Cavity Authors: Tae-Jin Chung, Chan-Soo Chung, Volume: 1, Page 4500 Paper number 1628 Abstract: In this paper we designed low-order controllers for active control of acoustic noise in a small cavity. The conventional robust control synthesis methods usually give controller with the same or higher order than the generalized plants, and these controllers are difficult to handle and to be implemented. Any implementation error would make the performance of the system degraded, or even make the closed loop system unstable. Therefore, it is necessary, if possible, to find a lower order controller with a similar performance of a full order controller. We use a convex optimization algorithm with a nonlinear equality constraint to find a controller with predetermined order. To verify the performances, the designed controllers are implemented with TMS320C31 DSP, and their performances are compared with that of the full order controller. The results show that the low order controllers have almost same performances as the full order one. Therefore, the designed low-order controller could be used more efficiently in practice. CD001628.PDF (From Author) TOP Solving Signal Decoupling Problems Through Self-Bounded Controlled Invariants Authors: Federico Barbagli, Giovanni Marro, Domenico Prattichizzo, Volume: 1, Page 4506 Paper number 2112 Abstract: This paper deals with decoupling problems of unknown, measurable and previewed signals. First the well known solutions of unknown and measurable disturbance decoupling problems are recalled. Then new necessary and sufficient constructive conditions for the previewed signal decoupling problem are proposed. The discrete time case is considered. In this domain previewing a signal by p steps means that the k-th sample of the signal to be decoupled is known p steps in advance. The main result is to prove that the stability condition for all of the mentioned decoupling problems does not change, i.e. the resolving subspace to be stabilized is the same independently of the type of signal to be decoupled, being it completely unknown (disturbance), measured or previewed. The problem has been studied through self-bounded controlled invariants, thus minimizing the dimension of the resolving subspace which corresponds to the infimum of a lattice. Note that reduced dimension on resolving controlled invariant subspace yields to reduce the order of the controller units. CD002112.PDF (From Author) TOP A Unified Algorithmic Setting For Signal-Decoupling Compensators And Unknown-Input Observers Authors: Giovanni Marro, Domenico Prattichizzo, Elena Zattoni, Volume: 1, Page 4512 Paper number 1488 Abstract: A standard geometric-type environment, where only the very basic tools of the geometric approach are used (those supported by well-settled and well-tested computational aids) enables the development of algorithms for numerous control and estimation problems in the discrete-time case. These are: measurable or previewed signal localization problems, perfect or almost perfect tracking (right inversion), and, by duality, perfect or almost perfect unknown-input estimation with possible postknowledge and input reconstruction (left inversion). It is also shown that the devices obtained (compensator and observer), that may be noncausal when specific stability requirements are not met, can be implemented as dynamical systems including finite-horizon convolutors or finite impulse response (FIR) systems. CD001488.PDF (From Author) TOP Equivalence of Disturbance Observer Structures for Linear Systems Authors: Erwin Schrijver, Johannes Van Dijk, Henk Nijmeijer, Volume: 1, Page 4518 Paper number 9090 Abstract: Several techniques exists to incorporate disturbance rejection requirements in a linear controller design. Contrary to, for example the H-infinity controller design technique where only one degree of freedom is available to obtain both disturbance rejection and performance, a Disturbance Observer adds a degree of freedom, thereby enabling a separate design of the disturbance rejection and the performance. There are many ways to design,implement and represent disturbance observers. In this paper, we focus on two design methodologies and their corresponding representations. It can be shown that, in case the (SISO) plant is linear, the methodologies result in an equivalent disturbance observer. In this paper, we will use this equivalence to relate some properties well-known for one methodology to the other methodology, and vice versa. CD009090.PDF (From Author) TOP