CDC2000 Control of Nonlinear Systems

Control 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	Design of Linear Dynamic Controllers for a Class of Nonlinear Systems Authors: Jure Medanic, Volume: 1, Page 3375 Paper number 42 Abstract: Integral transformations are applied to a fourth order nonlinear system with two nonlinearities. The stabilizing control is developed based on an asymptotic analysis that defines the appropriate controller structure, one in which all variables remain bounded and approach well defined limits. The results are generalized to higher order systems with a similar structure, and are the basis for the design of a dynamic controller to stabilize a related class of nonlinear systems. CD000042.PDF (Scanned) TOP Linearization By Prolongations Of Two-Input Driftless Systems Authors: Enric C. Fossas, Jaume B. Franch, Sunil K. Agrawal, Volume: 1, Page 3381 Paper number 1475 Abstract: This communication deals with the problem of linearization by prolongations of two-input driftless systems. For general two-input systems, the number of computations needed to check if a system is linearizable by prolongations is quite large. However, for driftless systems, the conditions presented in this paper require very few computations. The methodology is illustrated for some engineering systems which fulfill these conditions, e.g., a unicycle, a planar robot, and a hopping robot. CD001475.PDF (From Author) TOP Control Design Using Jordan Controllable Canonical Form Authors: Krishna K. Busawon, Volume: 1, Page 3386 Paper number 123 Abstract: In this paper, we present a new control design strategy for a class of single-input nonlinear dynamical systems. The design consists in transforming the system into a new controllable canonical form which we call the Jordan controllable canonical form (JCCF). In fact, the Brunowski controllable canonical form is an special case of the JCCF. We first show that any controllable pair can be transformed into the JCCF. We next, extend the result to a controllable pair which is state dependent. Using this extended Jordan controllable canonical form we propose a control design strategy for a class of single-input control affine systems. The design is simple and systematic and provides two degrees of freedom to fix the convergence of the closed-loop system. An example is given to illustrate the control design. CD000123.PDF (From Author) TOP Series Expansions for Analytic Systems Linear in the Controls Authors: Francesco Bullo, Volume: 1, Page 3392 Paper number 1360 Abstract: This paper presents a series expansion for the evolution of nonlinear systems which are analytic in the state and linear in the controls. An explicit recursive expression is obtained assuming that the input vector fields are constant. Additional simplifications take place in the analysis of systems described by second order polynomial vector fields. Sufficient conditions are derived to guarantee uniform convergence over the finite and infinite time horizon. The treatment relies only on elementary notions on analytic functions, number theory and operator norms. CD001360.PDF (From Author) TOP Discretization of a Non-Linear, Exponentially Stabilizing Control Law Using an L_p-Gain Approach Authors: Guido Herrmann, Sarah K. Spurgeon, Christopher Edwards, Volume: 1, Page 3398 Paper number 9504 Abstract: This paper considers the input-output stability of exponentially stable, non-linear systems with sampled-data output. Results for linear systems are generalized showing that the Lp-gain with respect to the sampled-data output exists and converges to the Lp-gain associated with the continuous-time output when the sampling period approaches +0. The results are applied to a non-linear control configuration and compared to a Lyapunov function analysis based approach previously developed for a non-linear sliding-mode like control. In contrast to the Lyapunov function technique, the sampling-time constraint vanishes for a stable plant if no control is used. CD009504.PDF (From Author) TOP Irreducibility Conditions For Nonlinear Input-Output Difference Equations Authors: Ülle Kotta, Volume: 1, Page 3404 Paper number 1863 Abstract: The purpose of this paper is to present a new necessary and sufficient condition for irreducibility of nonlinear input-output (i/o) difference equation which extends directly the corresponding condition for the linear case. The condition is presented in terms of the common left factors of two polynomials describing the behavior of the system; the basic difference is that unlike the linear case the polynomials related to the nonlinear system belong to a non-commutative polynomial ring. This condition provides a bases for finding the minimal (irreducible) equivalent representation of the i/o equation which is a suitable starting point for constructing a minimal state space representation. CD001863.PDF (From Author) TOP Homogeneous State Feedback Stabilization Of Homogeneous Systems Authors: Lars Grüne, Volume: 1, Page 3409 Paper number 8 Abstract: We show that for any asymptotically controllable homogeneous system in euclidian space (not necessarily Lipschitz at the origin) there exists a homogeneous control Lyapunov function and a homogeneous, possibly discontinuous state feedback law stabilizing the corresponding sampled closed loop system. We also show the relation between the degree of homogeneity and the bounds on the sampling rates which ensure asymptotic stability. CD000008.PDF (From Author) TOP