CDC2000 Nonlinear Dynamical Systems

Nonlinear Dynamical 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	Averaging With Respect To Arbitrary Closed Sets: Closeness Of Solutions For Systems With Disturbances Authors: Andrew R. Teel, Dragan Nesić, Luc Moreau, Volume: 1, Page 4361 Paper number 1177 Abstract: We consider two different definitions of "average" for systems with disturbances: the "strong" and "weak" averages that were recently introduced in the literature. We generalize the existing definitions as we use the distance to an arbitrary closed set (cal) A instead of the Euclidean norm for states in the definitions of averages. This generalization allows us to deal with more general cases of averaging for systems with disturbances, such as partial averaging. Under appropriate conditions, the solutions of a time-varying system with disturbances are shown to converge uniformly on compact time intervals to the solutions of the system's average as the rate of change of time increases to infinity. CD001177.PDF (From Author) TOP An Advanced Algorithm Based On Differential Algebra For Disturbance Decoupling Of Nonlinear Systems Authors: Markus Bröcker, Jan Polzer, Markus Lemmen, Volume: 1, Page 4367 Paper number 1117 Abstract: The behaviour of nonlinear systems can be affected by undesired inputs -- the disturbances. To decrease or to decouple the influence of those disturbances this paper deals with an advanced algorithm which solves the disturbance decoupling problem. Based on the mathematical foundations of differential algebra, the algorithm determines if a system is decouplable or not and which disturbance decoupling controller can be applied. The algorithm is restricted to rational systems. To handle analytical systems as well, a system transformation is introduced in order to receive a rational substitute system. The disturbance decoupling problem can then be solved for this substitute system. CD001117.PDF (From Author) TOP From Lipschitzian to Non-Lipschitzian Characteristics: Continuity of Behaviors Authors: M.K. Çamlibel, M.K.K. Cevik, W.P.M.H. Heemels, J.M. Schumacher, Volume: 1, Page 4373 Paper number 1836 Abstract: Linear complementarity systems are used to model discontinuous dynamical systems such as networks with ideal diodes and mechanical systems with unilateral constraints. In these systems mode changes are modeled by a relation between nonnegative, complementarity variables. We consider approximating systems obtained by replacing this non-Lipschitzian relation with a Lipschitzian function and investigate the convergence of the solutions of the approximating system to those of the ideal system as the Lipschitzian characteristic approaches to the (non-Lipschitzian) complementarity relation. It is shown that this kind of convergence holds for linear passive complementarity systems for which solutions are known to exist and to be unique. Moreover, this result is extended to systems that can be made passive by pole shifting. CD001836.PDF (From Author) TOP Consistent Hierarchies Of Nonlinear Abstractions Authors: George J. Pappas, Slobodan N. Simić, Volume: 1, Page 4379 Paper number 1733 Abstract: In this paper, we consider the problem of constructing hierarchies of nonlinear control systems that preserve reachability properties, and, in particular, local accessibility. In this hierarchical framework, showing local accessibility of the higher level abstracted model of the nonlinear control system is equivalent to showing local accessibility of the, more detailed, lower level model. Hierarchies of consistent nonlinear abstractions can therefore result in significant complexity reduction in determining the reachability properties of nonlinear systems. CD001733.PDF (From Author) TOP Fliess Operators On L_P Spaces: Convergence And Continuity Authors: W. Steven Gray, Yuan Wang, Volume: 1, Page 4385 Paper number 1278 Abstract: Fliess operators as input-output mappings are particularly useful in a number of fundamental problems concerning nonlinear realization theory. In the classical analysis of these operators, certain growth conditions on the coefficients in their series representations insure uniform and absolute convergence, provided each admissible input is uniformly bounded by some fixed upperbound. In some emerging applications of this theory, however, it is more natural to consider other classes of inputs. In this paper, L_p function spaces are considered. In particular, growth conditions are developed which provide sufficient conditions for convergence and continuity, and insure that any realization of the operator yields a well defined state space model on the input space. CD001278.PDF (From Author) TOP Study of Lasers as Nonlinear Dynamical Systems Authors: Shahram M. Shahruz, Volume: 1, Page 4391 Paper number 8017 Abstract: The rate equations of a large class of lasers are considered. These equations represent the evolution of photon and carrier densities in the laser, where the laser output is proportional to the photon density. By applying techniques from the theory of dynamical systems to the rate equations, four important properties of the lasers are rigorously proved. These properties are: (P1) for nonnegative and bounded inputs, the laser outputs are bounded; (P2) for a positive constant input, the laser output settles at a positive steady-state value; (P3) for positive constant inputs, the laser does not exhibit a limit cycle behavior; (P4) for positive constant inputs, the relaxation oscillations in the laser output can be attenuated if the coefficient of the spontaneous emission is increased. CD008017.PDF (Scanned) TOP A Nonlinear Phylosophy for Nonlinear Systems Authors: Alexander Fradkov, Volume: 1, Page 4397 Paper number 2043 Abstract: A framework for system analysis and design is described based on nonlinear system models and nonperiodic signals generated by nonlinear systems. The proposed approach to analysis of nonlinear systems is based on excitability index - a nonlinear counterpart of magnitude frequency response of linear system. It can be used for stability analysis of fully nonlinear cascade systems similarly to absolute stability analysis of Lur'e systems. Speed-Gradient algorithms of creating feedback resonance in nonlinear multi-DOF oscillators are described. For strictly dissipative systems bounds of energy and excitability change by feedback are established. CD002043.PDF (From Author) TOP