CDC2000 Nonlinear Time Varying Systems

Nonlinear Time Varying 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	UGAS Of Nonlinear Time-Varying Systems: A Delta-Persistency Of Excitation Approach Authors: Antonio Loría, Elena Panteley, Andrew R. Teel, Volume: 1, Page 3489 Paper number 1314 Abstract: We study the problem of stability analysis for certain nonlinear systems. Our contributions are new tools to guarantee uniform global asymptotic stability (UGAS) of nonlinear time-varying (NLTV) systems. Firstly, we provide new definitions of persistency of excitation (PE). In particular, we give here a new definition of uniform delta-PE which, though conceptually equivalent to the original one introduced earlier by the authors, in the ECC '99, is mathematically less conservative. We also provide with some properties of delta-PE pairs (functions) and contribute with a result which establishes UGAS of NLTV systems under uniform delta-PE. CD001314.PDF (From Author) TOP New Stability Results for Time-Varying Systems Based on a Modified Detectability Condition Authors: Ti-Chung Lee, Ching-Hung Lee, Volume: 1, Page 3495 Paper number 1764 Abstract: The uniformly asymptotical stability is investigated from the output-to-state viewpoint for general nonlinear time-varying systems. Several criterions are proposed using some integral inequalities involving the output function and a new detectability condition. Furthermore, the existing results using the Lyapunov direct method such as the Krasovskii-LaSalle invariance principle, a theorem of Aeyels and a theorem of Khalil for time-varying systems are shown to be deduced for the proposed scheme. From these applications, it can be seen that as the invariance principle of LaSalle is used in studying the stability of time-invariant systems, our results can be also used in studying the stability of time-varying systems. CD001764.PDF (Scanned) TOP On Input-to-State Stability for Time Varying Nonlinear Systems Authors: Heather A. Edwards, Yuandan Lin, Yuan Wang, Volume: 1, Page 3501 Paper number 1983 Abstract: Input-to-state stability (ISS, for short) was introduced in the late 1980's by E.D. Sontag. This property naturally incorporates an important concept ``finite gain'' frequently used in engineering with the classic stability notation used in ordinary differential equations, replacing the linear gain functions for general nonlinear systems by nonlinear gain functions. However, most theoretical developments dealt mainly with time invariant systems. On the other hand, it is very often the case that the systems under consideration are time varying. Such a situation often arises from, e.g., trajectory tracking problems. It is thus natural to understand the ISS property for time varying systems. In this work, we focus on the Lyapunov characterizations of input-to-state stability for time varying nonlinear systems, and in particular, for periodic time varying systems. We show that a periodic time varying system is ISS if and only if it admits an ISS-Lyapunov function V(t, x) that is also periodic in the variable t. A small gain theorem for time varying nonlinear systems is also presented in this work. CD001983.PDF (From Author) TOP On the Existence of Common Lyapunov Triples for ISS and iISS Switched Systems Authors: José Luis Mancilla Aguilar, Rafael Antonio García, Volume: 1, Page 3507 Paper number 1300 Abstract: In this paper we present converse Lyapunov theorems for input-to-state stable (ISS) and integral-input-to-state stable (iISS) switched nonlinear systems. Their proofs are based on existing converse Lyapunov theorems for input-output-to-state stable (IOSS) and iISS nonlinear systems, and on the association of the switched system with a nonlinear system with inputs and disturbances that take values in a compact set. CD001300.PDF (From Author) TOP A Unified Characterization And Solution Of Input-To-State Stabilization Via State-Dependent Scaling Authors: Hiroshi Ito, Volume: 1, Page 3513 Paper number 1431 Abstract: The paper shows new solutions to input-to-state stabilization and integral input-to-state stabilization problems for nonlinear systems based on the novel concept of state-dependent scaling design. Both state-feedback and output-feedback controllers are constructed in a unified way. The method provides global solutions whenever the system is in the strict-feedback or output-feedback form. The paper encompasses input-to-state stabilization and integral input-to-state stabilization in the presence of structured, static and dynamic uncertainties. CD001431.PDF (From Author) TOP New State-Dependent Scaling for Uncertain Dynamics: Nonlinear Global Stabilization and Performance Authors: Hiroshi Ito, Volume: 1, Page 3519 Paper number 1376 Abstract: This paper proposes a simple and systematic design approach to global robust stabilization of nonlinear systems in the presence of dynamic and static uncertainties. An extended concept of state-dependent scaling is newly introduced for robustification of feedback control against dynamic uncertainties. This paper presents a recursive design procedure which provides a global stabilizing state-feedback controller whenever the system belongs to a new class of strict-feedback systems allowing both dynamic and static uncertainties. The state-dependent scaling method reduces problems of robust L_2 disturbance attenuation and robust almost disturbance decoupling to a special case of the robust stabilization design. CD001376.PDF (From Author) TOP On Formulating Nonlinear Dynamics in LPV Form Authors: Douglas J. Leith, William E. Leithead, Volume: 1, Page 3526 Paper number 1659 Abstract: The shortcomings of a popular LPV gain-scheduling design approach are demonstrated by a simple counter-example. It is shown that, for a very general class of nonlinear systems, such an ad hoc design approach is unnecessary since soundly-based methods exist for transforming the plant dynamics into LPV/quasi-LPV form. CD001659.PDF (From Author) TOP