CDC2000 New Progress in Synthesis of Nonlinear Systems II

New Progress in Synthesis of Nonlinear Systems II
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	H-Infinity Optimal Tracking Control Techniques for Nonlinear Underactuated Systems Authors: Gregory J. Toussaint, Tamer Bas;ar, Francesco Bullo, Volume: 1, Page 2078 Paper number 801 Abstract: This paper presents new techniques for controlling the motion of an underactuated vehicle when disturbances are present and only imperfect state measurements are available for feedback. A state feedback controller is developed and then it is converted to an imperfect state measurement feedback controller. The state feedback tracking control law uses an H-infinity-optimal design and produces a locally exponentially stable closed-loop system. The imperfect state measurement feedback controller combines the state feedback control law with an H-infinity-filter to estimate the states and achieves a modified form of disturbance attenuation. The state estimator exploits a unique structure in the nonlinear equations of motion to develop a direct solution. The Matlab simulations illustrate both control algorithms for an underactuated ship model. CD000801.PDF (From Author) TOP Robust Nonlinear Integral Control by Partial-State and Output Feedback Authors: Zhong-Ping Jiang, Iven M.Y. Mareels, Volume: 1, Page 2084 Paper number 802 Abstract: It is well-known from linear systems theory that an integral control law is needed for asymptotic set-point regulation under parameter perturbations. This paper presents a similar result for a class of nonlinear systems in the presence of an unknown equilibrium due to uncertain nonlinearities and dynamic uncertainties. Both partial-state and output feedback cases are considered. A procedure for robust nonlinear integral controller design is presented and illustrated via a practical example of fan speed control. CD000802.PDF (From Author) TOP Practical Output Tracking of Nonlinear Systems with Applications to Underactuated Mechanical Systems Authors: Chunjiang Qian, Wei Lin, Volume: 1, Page 2090 Paper number 803 Abstract: This paper shows that for a significant class of nonlinear systems with uncontrollable unstable linearization, global practical output tracking is achievable by smooth feedback, although asymptotic output tracking is usually not possible, even locally. Smooth tracking controllers are explicitly constructed via a modified adding a power integrator approach. This new design method also leads to solutions to various open control problems, including practical output tracking of an underactuated unstable two degrees of freedom mechanical system. CD000803.PDF (From Author) TOP Convergence of Extended Kalman Filters to Locate a Moving Target in Wild Life Telemetry Authors: Manjula S. Sugathadasa, Clyde F. Martin, Wijesuriya P. Dayawansa, Volume: 1, Page 2096 Paper number 804 Abstract: In wildlife telemetry and several other applications, some or all of the measurements consist of angles made with very poor accuracy. In these cases classical extended Kalman filtering, where the angles are treated as linear variables, tend to introduce errors in estimation on a sporadic basis due to incorrect handling of the angles. Here we propose a correction term in Kalman filtering equation which will ensure that the angular terms are treated in an invariant fashion. CD000804.PDF (From Author) CD000804.PDF (Scanned) TOP Lyapunov Stability Analysis for Nonlinear Delay Systems Authors: Frédéric Mazenc, Silviu-Iulian Niculescu, Volume: 1, Page 2100 Paper number 805 Abstract: Sufficient conditions ensuring that a nonlinear system with disturbances having a delay is delay independent globally asymptotically stable are given. The proof carried out relies extensively on a characterization of the stability property in term of Lyapunov function. The result is applied to some biological systems and neural networks. It is also used to construct a stabilizing memoryless controller for a second order system with state-delay. CD000805.PDF (From Author) TOP A New Definition Of The Minimum-Phase Property For Nonlinear Systems, With An Application To Adaptive Control Authors: Daniel Liberzon, A. Stephen Morse, Eduardo D. Sontag, Volume: 1, Page 2106 Paper number 806 Abstract: We introduce a new definition of the minimum-phase property for general smooth nonlinear control systems. The definition does not rely on a particular choice of coordinates in which the system takes a normal form or on the computation of zero dynamics. It requires the state and the input of the system to be bounded by a suitable function of the output and derivatives of the output, modulo a decaying term depending on initial conditions. The class of minimum-phase systems thus defined includes all affine systems in global normal form whose internal dynamics are input-to-state stable and also all left-invertible linear systems whose transmission zeros have negative real parts. We explain how the new concept enables one to develop a natural extension to nonlinear systems of a basic result from linear adaptive control. CD000806.PDF (From Author) TOP