CDC2000 Sliding Mode Control II

Sliding Mode Control 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	An LMI Approach for Designing Sliding Mode Observers Authors: Chee Pin Tan, Christopher Edwards, Volume: 1, Page 2587 Paper number 1145 Abstract: This paper presents a method to design sliding mode observers for a class of uncertain systems using Linear Matrix Inequalities. The objective is to exploit the degrees of freedom available in the design which have hitherto been ignored because of the lack of a tractable solution framework. The relationship between the linear component of the sliding mode observer and a particular sub-optimal observer arising from classical Linear Quadratic Gaussian theory is demonstrated. This helps motivate how the design weighting matrices inherent in the method may be chosen in practice. CD001145.PDF (From Author) TOP Design Of Sliding-Mode Observers And Filters For Nonlinear Dynamic Systems Authors: Angelo Alessandri, Volume: 1, Page 2593 Paper number 1112 Abstract: The problem of state estimation for a class of nonlinear systems with Lipschitz nonlinearities is addressed using sliding-mode estimators. Stability conditions have been found to guarantee convergence if no noise affects the system and the channel equations, and non-divergence in the presence of additive bounded disturbances. The design of such estimators is based on the solution of an algebraic Riccati equation that is difficult to solve. A method is presented in order to find a suitable solution that optimizes the performance. Successful simulations have been performed to illustrate the effectiveness of the proposed design method. CD001112.PDF (From Author) CD001112.PDF (Scanned) TOP Estimation Based Discrete-Time Sliding Control Of Uncertain Nonlinear Systems In Discrete Strict Feedback Form Authors: Ibrahim Haskara, Ümit Özgüner, Volume: 1, Page 2599 Paper number 93 Abstract: In this paper, an on-line discrete-time disturbance estimation method is presented. The proposed method extends the static one-step delay disturbance estimation method by allowing both the estimation accuracy and the error convergence dynamics to be adjusted by the designer. The use of the method in a recursive tracking controller design of an uncertain nonlinear system in discrete strict feedback form and in a system matrix identification problem are examined. A numerical simulation study is also provided. CD000093.PDF (From Author) TOP Invariant Sliding Sectors for Discrete Sliding Mode Control Authors: Xinghuo Yu, Shuanghe Yu, Volume: 1, Page 2605 Paper number 1079 Abstract: In this paper, we propose a new concept, "invariant sliding sector", for the design of discrete sliding mode control (DSMC). We will first discuss how to construct the first order invariant sliding sectors for the second order DSMC system design. We will then show how to extend this first order invariant sliding sector concept for higher order DSMC systems by developing a recursive structure built on a set of nested first order invariant sliding sectors. Last, we will discuss the applicability of the invariant sliding sectors for the design of higher order DSMC systems. CD001079.PDF (From Author) TOP Decentralized Hybrid Traffic Network Routing Using Optimal Sliding Modes Authors: Jia Lei, Umit Ozguner, Volume: 1, Page 2607 Paper number 1966 Abstract: In this paper, three hybrid network routing strategies using Optimal Sliding Modes method are presented. First a two-road hybrid routing strategy using optimal sliding modes is proposed. In this method, a finite state machine is defined and the Optimal Sliding Mode method is used to find the optimal routing under different states. Then the hybrid method is extended to large networks by three approaches: centralized, decentralized and partial-decentralized. A comparison of these three approaches is also given. CD001966.PDF (From Author) TOP Synthesized Sliding Mode and Time-Delay Control for a Class of Matched and Unmatched Uncertain Systems Authors: Jian-Xin Xu, Wen-Jun Cao, Volume: 1, Page 2609 Paper number 1363 Abstract: In this paper, the Sliding Mode Control (SMC) is incorporated with Time-Delay Control (TDC) during sliding phase to reduce the switching gain. TDC identifies the unknown system dynamics and disturbance directly every delay-time. For a system with a lumped perturbation which is relatively slow varying with respect to the sampling interval, a much low switching gain can be used if a reasonably good estimate of the derivative of system state can be obtained using the past information, hence chattering can be reduced or eliminated while retaining the tracking accuracy. This paper considers both matched and unmatched uncertainties. It is an extension of [1]. CD001363.PDF (From Author) TOP