CDC2000 Observers for Nonlinear Systems

Observers for 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 Design Using a New Class of Nonlinear Observers Authors: Murat Arcak, Petar V. Kokotović, Volume: 1, Page 778 Paper number 1484 Abstract: This paper analyzes the robustness of a nonlinear observer design recently introduced by the authors. For uncertainties in the nonlinearities, bounds are given within which the observer error gradually increases with an increase in the uncertainty. For dynamic modeling errors, a robust output-feedback design is developed using ISS small-gain tools. A jet engine compressor example is used to illustrate the design. CD001484.PDF (From Author) TOP Approximate High-Gain Observers For Uniformly Observable Nonlinear Systems Authors: Jaime Moreno, Alejandro Vargas, Volume: 1, Page 784 Paper number 1962 Abstract: A methodology for the design of continuous practical observers for nonlinear uniformly observable systems is presented. The system is first transformed into observability normal form, using the observability map semi-diffeomorphism. Since this normal form may have a non-Lipschitz continuous right hand side, a so called (epsilon)-approximate high-gain observer is designed for it, constituting the dynamic part of the observer. The inverse of the transformation is used as the static part. Convergence of the observer's state trajectory to a ball around the true state trajectory is guaranteed, with the radius of the ball as small as desired. CD001962.PDF (From Author) TOP Unknown Input Observers For SISO Nonlinear Systems Authors: Jaime Moreno, Volume: 1, Page 790 Paper number 1964 Abstract: The existence conditions for unknown input observers for LTI systems are well known and several methods for its design have been proposed in the literature. However, for nonlinear systems only sufficient conditions are known for certain classes of systems. In this paper sufficient conditions under which the construction of an state unknown input observer for nonlinear systems are derived. Furthermore, this conditions are also shown to be necessary, under some additional conditions. A method to design full order and reduced order unknown input observers is proposed, and its convergence is analyzed. Although in this paper the study is restricted to SISO systems, most of the results can be carried on to MIMO systems. These results are important in the design of Fault Detection and Isolation Filters, robust nonlinear observers, and decentralized control. CD001964.PDF (From Author) TOP Unknown Input Reduced Order Observer For Singular Bilinear Systems With Bilinear Measurements Authors: Michel Zasadzinski, Eric Magarotto, Mohamed Darouach, Volume: 1, Page 796 Paper number 2028 Abstract: In this paper, a method to design a reduced order unknown input observer for bounded control inputs singular bilinear system with bilinear measurements and subjected unknown disturbances is investigated. The design of this unknown input is divided into two parts. The first one consists in solving some algebraic constraints to obtain an observation error which is decoupled from the unknown disturbances. In the second part, an LMI is solved to ensure the exponential stability of the reconstruction error for all admissible control inputs and unmeasurable disturbances. CD002028.PDF (From Author) TOP Embedding For Exponential Observers Of Nonlinear Systems Authors: Alain Rapaport, Abdelmalek Maloum, Volume: 1, Page 802 Paper number 1329 Abstract: For nonlinear systems in R^n which admit an observability index m strictly larger than n, we show that under the existence of an injective immersion onto a manifold of R^m, one can build an exponential observer. The main point concerns the determination of a Lipschitz extension to R^m of the dynamics, which is defined only on a manifold of dimension n. We propose some constructive tools and illustrate their utility on a simple biological model. CD001329.PDF (From Author) TOP High Gain Observer For A Class Of Implicit Systems Authors: Hassan Hammouri, Nicolas Marchand, Volume: 1, Page 804 Paper number 2081 Abstract: Under some observability assumptions (uniform observability), a high gain observer for a class of implicit dynamical systems is given in this paper. Numerically, the computation of trajectories of such implicit systems usually necessitates the use of an optimization algorithm together with an ODE numerical method. This complicates the synthesis of an observer. The observer design proposed here leads to a classical dynamical system defined on some R^N, with N >= n, n being the dimension of the state space of the implicit system. CD002081.PDF (From Author) TOP Recursive Observer Design Beyond the Uniform Observability Authors: Hyungbo Shim, Jin Heon Seo, Volume: 1, Page 809 Paper number 1101 Abstract: We propose a novel recursive design scheme of state observer for lower triangular nonlinear systems. The design begins from the bottom dynamics and propagates to upper dynamics recalling the backstepping scheme for nonlinear control. The proposed class of systems is fairly general since it includes non-uniformly observable or detectable multi-output systems. The error convergence to zero is proved assuming the boundedness of input a posteriori, which is preferable whereas most results in the literature assume the boundedness a priori. A global observer is proposed with the global Lipschitz condition of the system. However, this condition is removed via the Lipschitz extension technique when the semi-global observer is of interest. CD001101.PDF (From Author) TOP