CDC2000 Interplay between Control and Signal Processing

Interplay between Control and Signal Processing
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	Topics On Multirate Systems: Frequency Response, Interpolation, Model Validation Authors: Li Chai, Li Qiu, Volume: 1, Page 4290 Paper number 3201 Abstract: In this paper, we address several topics on multirate systems, mostly in a frequency domain point of view. We first study the frequency response of a multirate system and derive the aliasing component (AC) representation. We give the relationship between the AC representation and the ususal transfer function matrix of the lifted LTI system. Secondly, we propose a multirate version of the Nevanlina-Pick (NP) interpolation problem and give a necessary and sufficient solvability condition. This version of the NP interpolation problem is of interest mathematically and has potential applications in addressing other issues in control, signal processing and circuit theory. Finally, as an application of the multirate version of the NP interpolation problem, we formulate and solve the robust model validation problem for multirate systems with frequency domain experiment data. CD003201.PDF (From Author) TOP A New Design for Sample-Rate Converters Authors: Masaaki Nagahara, Yutaka Yamamoto, Volume: 1, Page 4296 Paper number 3202 Abstract: This paper proposes a new design methodology for digital filters, interpolators/decimators and sample-rate converters, based on the modern sampled-data control theory. In contrast to the conventional filter designs where the methods are mostly based on frequency domain approximation techniques, the proposed method makes use of the sampled-data H^(infinity) control theory, thereby allowing for optimizing the intersample behavior and aliasing effects. The novel feature here is that the proposed method can optimize the analog-domain performance over all frequency ranges, thereby guaranteeing a desirable performance without breaking the design problem into several different steps, such as linear phase characteristic, optimal attenuation level design, etc. A design example is presented to show the advantages of the present method. CD003202.PDF (From Author) TOP Properties of Matrix Polynomials and MIMO Channel Identifiability From Second Order Statistics Authors: Zhi Ding, Li Qiu, Volume: 1, Page 4302 Paper number 3203 Abstract: Blind channel identification and equalization have attracted much attention recently. Their potential application in wireless communication systems has been explored. For multiple user systems, several algorithms known to date require the assumption that the linear system has a full rank convolution matrix. In fact, this assumption requires that system be irreducible and column reduced. In this paper, we show that some of these algorithms can remain effective even when the rank condition is relaxed. Several algorithms, including the outer-product decomposition, can still be applied with care for irreducible (but not column reduced) multiple-input-multiple-output (MIMO) linear systems. CD003203.PDF (From Author) TOP Subband Coding for Fast Controller Implementation Authors: Soura Dasgupta, Volume: 1, Page 4308 Paper number 3204 Abstract: This papers concerns a new wavelet packet based design methodology for efficient implementation of digital controllers that operate at very high sampling rates, but for reasons of compactness are fabricated on VLSI chips with limited surface area. We argue that this brings about a fundamental tradeoff between sampling speed, accuracy due to signal quantization, and the chip area. Here we reconcile this tradeoff using multirate subband coding techniques, that exploit spectral disparities in the closed loop signals. A precise optimization problem is formulated, and its solution presented. CD003204.PDF (From Author) TOP H_2 Optimization Applied to General Transmultiplexer Design Authors: Ting Liu, Tongwen Chen, Volume: 1, Page 4314 Paper number 3205 Abstract: The paper considers design of multi-channel, nonuniform-band transmultiplexers using H_2 optimization. General dual-rate structures are used to provide more design freedom. Such general transmultiplexers have a new source of error called aliasing distortion. We propose a composite error criterion which captures all distortions in one, develop an optimal design procedure and apply it to a three-channel nonuniform example, yielding an FIR transmultiplexer which has good frequency limiting properties in the synthesis end and is very close to perfect reconstruction. CD003205.PDF (From Author) TOP On Achieving Reduced Error Propagation Sensitivity in DFE Design via Convex Optimization Authors: Robert L. Kosut, Wonzoo Chung, C. Richard Johnson Jr, Stephen P. Boyd, Volume: 1, Page 4320 Paper number 3206 Abstract: Decision Feedback Equalization (DFE) is expected in digital TV receivers and other high error rate environments. It is argued here that the minimum mean-square-error (MMSE) adaptation mechanism in the presence of error propagation will find a better answer than the solution computed in the absence of decision errors. This paper attempts to formalize this benefit during the design phase, by considering other (convex) performance measures than MSE assuming perfect decisions. After all, any such modified objective is just a proxy for determining the optimal error rate. We consider a method to penalize these gains, but not in the unconstrained (perfect decision) MSE sense. CD003206.PDF (From Author) TOP High Resolution Sensing and Anisotropic Segmentation for SAR Imagery Authors: Tryphon T. Georgiou, Allen Tannenbaum, Volume: 1, Page 4324 Paper number 3207 Abstract: The purpose of this note is to introduce new methodologies for high resolution image processing and knowledge-based segmentation for SAR imagery. These techniques could also have a major impact on problems in radar and remote sensing where modern mathematical tools and optimization techniques are likely to advance significantly the current state of the art. CD003207.PDF (From Author) TOP