CDC2000 Linear Design Techniques

Linear Design Techniques
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	Multirate Controllers Design By Rate Decomposition Authors: Julián Salt, Pedro Albertos, Volume: 1, Page 4895 Paper number 1267 Abstract: In many industrial control applications the control action updating can be faster that the output measurement, leading to multirate controllers. In the paper, the controller design is approached based on the characteristics of each available sampling rate. The controller is split into two parts acting at different sampling rates. By the lowest rate sub-controller the main points of the desired response are determined while the response envelope, approaching the continuous time response of the controlled system is completed by the action of the fast rate control part. Cancellation controllers, three-term controllers and PID controllers are designed using this approach and promising results are obtained. CD001267.PDF (From Author) TOP A Structural Analysis Method Formulation For Fault-Tolerant Control System Design Authors: Roozbeh Izadi-Zamanabadi, Marcel Staroswiecki, Volume: 1, Page 4901 Paper number 1954 Abstract: An analysis of structural model representation has been used to extract available inherent redundant information in the system. The paper presents a refined structural model representation based on bipartite directed graph definition and the necessary condition for structural observability are proposed. CD001954.PDF (From Author) TOP Non-Fragile PID Controller Design Authors: Ming-Tzu Ho, Volume: 1, Page 4903 Paper number 1154 Abstract: Recent results have provided a complete characterization of all stabilizing PID controllers for a given plant. This characterization has an elegant property: for a given fixed proportional gain, the set of all stabilizing integral and derivative gain values is the intersection of the admissible solutions of sets of linear inequalities. Based on this characterization, the design of non-fragile PID settings for enhancing the robustness of the closed-loop systems to perturbations in the controller coefficients is addressed. CD001154.PDF (From Author) TOP On Robust Non-Fragile Static State-Feedback Controller Synthesis Authors: Ricardo H. C. Takahashi, Daniel A. Dutra, Reinaldo M. Palhares, Pedro L. D. Peres, Volume: 1, Page 4909 Paper number 1928 Abstract: This paper addresses the design of robust non-fragile state feedback controllers, with controller uncertain parameters described as polytope-type convex-bounded uncertainties. The linearizing change of variables Z=KW that is the basis for a large class of LMI-based robust control design algorithms is slightly modified. The modified change of variables proposed here leads to LMI-based robust non-fragile control design algorithms that are directly derived from any former algorithm formulated in terms of the traditional change of variables. In this way, the ``fragility'' issue is solved inside the mainstream of the LMI-based robust control synthesis algorithms that have been developed up to now, in a unified basis. CD001928.PDF (From Author) TOP On the Strong Stabilizability of MIMO n-Dimensional Linear Systems Authors: Jiang Qian Ying, Volume: 1, Page 4915 Paper number 21 Abstract: A plant is strongly stabilizable if there exists a stable compensator to stabilize it. This paper presents necessary conditions for the strong stabilizability of complex and real n-D multi-input multi-output (MIMO) shift-invariant linear plants. For the real case, the condition is a generalization of the parity interlacing property of Youla et al. for the strong stabilizability of a real 1-D MIMO plant. These conditions are also sufficient for the cases of n-D plants with a single output (MISO) or with a single input (SIMO). For general n-D MIMO plants, we do not know if the conditions are sufficient or not. A useful sufficient, but not necessary, condition for the strong stabilizability of a class of n-D (n > 1) MIMO plants is given. CD000021.PDF (From Author) TOP