CDC2000 Output Feedback of Nonlinear Systems

Output Feedback of Nonlinear 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	Robust Output Feedback Control Of Incompletely Observable Nonlinear Systems Without Input Dynamic Extension Authors: Manfredi Maggiore, Kevin Passino, Volume: 1, Page 2902 Paper number 1741 Abstract: We introduce a new output feedback controller for general MIMO nonlinear systems which are only observable on regions of the state and input spaces. Unlike previous approaches, we do not add integrators at the input side of the system, and thus avoid the need to design a stabilizing control law for a higher order system. Robustness with respect to a class of time-varying disturbances is guaranteed, and the performance of any state feedback controller designed to achieve closed-loop stability with respect to a set (e.g., a robust controller) is recovered. CD001741.PDF (From Author) TOP Global Finite-Time Stabilization: From State Feedback to Output Feedback Authors: Yiguang Hong, Guowu Yang, Linda G. Bushnell, Hua O. Wang, Volume: 1, Page 2908 Paper number 1670 Abstract: This paper addresses the problem of global finite-time design via dynamic output feedback. The results are obtained in the form of the so-called "separation principle", i.e., the design methods for the finite-time output feedback laws are based on finite-time state feedback laws and finite-time observers, which can be designed separately. Conditions are given to assure that the constructed output feedback laws render the closed-loop systems globally finite-time convergent or even finite-time stable. CD001670.PDF (From Author) TOP Global Adaptive Output Feedback Controllers with Application to Nonlinear Friction Compensation Authors: Giovanni Luca Santosuosso, Patrizio Tomei, Volume: 1, Page 2914 Paper number 1609 Abstract: In this paper we consider a class of nonlinear systems in which a set of constant parameters is unknown and some state variables are not available for measurement. For such systems we provide a constructive procedure for the solution of the global adaptive tracking problem with dynamic partial state feedback. We illustrate an application of the control strategy to the adaptive nonlinear friction compensation of a DC motor servomechanism. We improve previous results in two directions: we allow for a subset of the unmeasurable states to enter in the system nonlinearly; we consider systems which are linearly parametrized with respect to a set of unknown constant parameters. CD001609.PDF (From Author) TOP Static Output Feedback Stabilization Of Linear And Nonlinear Systems Authors: Alessandro Astolfi, Patrizio Colaneri, Volume: 1, Page 2920 Paper number 1140 Abstract: The static output feedback stabilization problem for linear and nonlinear (affine) systems is discussed. A novel necessary and sufficient condition for linear systems is proposed. For nonlinear systems a sufficient condition is established and a (partial) converse is also discussed. The nonlinear formulation is used to derive a simple characterization of stabilizing static output feedback control laws for linear systems in terms of the intersection of two convex sets and a (generally) non-convex set. This characterization is used to establish a series of simple obstructions to the solvability of the problem for linear SISO systems. A fully worked out example complete the paper. CD001140.PDF (From Author) TOP Robust Output Feedback Stabilization Of Nonlinear Systems Authors: Teddy M. Cheng, Ray P. Eaton, David J. Clements, Volume: 1, Page 2926 Paper number 1138 Abstract: This paper describes a direct way to solve the robust output feedback stabilization problem for a class of uncertain nonlinear systems with nonlinear parameterization using the backstepping technique. The backstepping method is performed in a batch way rather than recursively. The paper begins with the stabilization of a system containing a series of integrators with unknown gains. The solution of the problem is then used to solve the output feedback stabilization problem of the nonlinear system. CD001138.PDF (From Author) TOP Time-Varying Output Feedback Stabilization of a Class of Nonholonomic Hamiltonian Systems via Canonical Transformations Authors: Kenji Fujimoto, Jacquelien M.A. Scherpen, Volume: 1, Page 2928 Paper number 1453 Abstract: This paper is concerned with the output feedback stabilization of a class of nonholonomic systems in port-controlled Hamiltonian formulae via generalized canonical transformations. In order to obtain a dynamic feedback, an integrator is added to the system firstly. Then the generalized canonical transformation is utilized to let the integrator play the role of an estimator of the unmeasurable state based on passivity. This technique can derive a time-varying output feedback stabilizing controller under a certain assumption. Furthermore the effectiveness of the proposed technique is demonstrated via a well known knife edge example. CD001453.PDF (From Author) TOP On The Output Feedback Control Of Passive Nonlinear Systems With Input Perturbations Authors: Ilya G. Polushin, Volume: 1, Page 2934 Paper number 9087 Abstract: Two problems concerned with output feedback control of passive nonlinear systems under input affine perturbations are considered. The first one is the problem of input-to-state stabilization of passive system with respect to "perturbation" input with semiglobal ISS gain assignment. The second problem is ultimate boundedness control of nominally passive nonlinear systems with structured uncertainties satisfying a matching condition. The key assumption is output-to-state stability of the system. It is shown that under this assumption both problems are solvable by almost smooth static output feedback. CD009087.PDF (From Author) TOP