Adaptive Systems in Control and Signal Processing 1983: Proceedings of the IFAC Workshop, San Francisco, USA, 20-22 June 1983
Adaptive Systems in Control and Signal Processing 1983 is a compendium of papers presented at the International Federation of Automatic Control in San Francisco on June 20-22, 1983. One paper addresses the results through comparative alternative algorithms in adaptive control of linear time invariant and time varying systems. Another paper presents a method in computer simulation of a wide range of stable plants to achieve an alternative approach in designing an adaptive control system. The book also compares the stability and the sensitivity approach involving the design of model-reference adaptive systems. The authors involved explain that the sensitivity concept determines the "dynamic speed of adaptation," while the stability concept focuses on finding a linear compensator for any deviant signal. One paper proposes an indirect adaptive control algorithm for MIMO square full rank minimum phase systems, while another paper discusses the application of the discrete time multivariable adaptive control system, to non-minimum phase plants with an unknown dead time. This book can prove valuable to engineers and researchers of electrical, computer, and mechanical engineering. It can also be helpful for technicians and students dealing with automatic control and telecontrol.
1000709653
Adaptive Systems in Control and Signal Processing 1983: Proceedings of the IFAC Workshop, San Francisco, USA, 20-22 June 1983
Adaptive Systems in Control and Signal Processing 1983 is a compendium of papers presented at the International Federation of Automatic Control in San Francisco on June 20-22, 1983. One paper addresses the results through comparative alternative algorithms in adaptive control of linear time invariant and time varying systems. Another paper presents a method in computer simulation of a wide range of stable plants to achieve an alternative approach in designing an adaptive control system. The book also compares the stability and the sensitivity approach involving the design of model-reference adaptive systems. The authors involved explain that the sensitivity concept determines the "dynamic speed of adaptation," while the stability concept focuses on finding a linear compensator for any deviant signal. One paper proposes an indirect adaptive control algorithm for MIMO square full rank minimum phase systems, while another paper discusses the application of the discrete time multivariable adaptive control system, to non-minimum phase plants with an unknown dead time. This book can prove valuable to engineers and researchers of electrical, computer, and mechanical engineering. It can also be helpful for technicians and students dealing with automatic control and telecontrol.
72.95 In Stock
Adaptive Systems in Control and Signal Processing 1983: Proceedings of the IFAC Workshop, San Francisco, USA, 20-22 June 1983

Adaptive Systems in Control and Signal Processing 1983: Proceedings of the IFAC Workshop, San Francisco, USA, 20-22 June 1983

Adaptive Systems in Control and Signal Processing 1983: Proceedings of the IFAC Workshop, San Francisco, USA, 20-22 June 1983

Adaptive Systems in Control and Signal Processing 1983: Proceedings of the IFAC Workshop, San Francisco, USA, 20-22 June 1983

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Overview

Adaptive Systems in Control and Signal Processing 1983 is a compendium of papers presented at the International Federation of Automatic Control in San Francisco on June 20-22, 1983. One paper addresses the results through comparative alternative algorithms in adaptive control of linear time invariant and time varying systems. Another paper presents a method in computer simulation of a wide range of stable plants to achieve an alternative approach in designing an adaptive control system. The book also compares the stability and the sensitivity approach involving the design of model-reference adaptive systems. The authors involved explain that the sensitivity concept determines the "dynamic speed of adaptation," while the stability concept focuses on finding a linear compensator for any deviant signal. One paper proposes an indirect adaptive control algorithm for MIMO square full rank minimum phase systems, while another paper discusses the application of the discrete time multivariable adaptive control system, to non-minimum phase plants with an unknown dead time. This book can prove valuable to engineers and researchers of electrical, computer, and mechanical engineering. It can also be helpful for technicians and students dealing with automatic control and telecontrol.

Product Details

ISBN-13: 9781483190655
Publisher: Pergamon
Publication date: 06/28/2014
Sold by: Barnes & Noble
Format: eBook
Pages: 388
File size: 18 MB
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Table of Contents

Plenary Session 1 Adaptive Control of a Class of Linear Time Varying Systems Adaptive Signal Processing for Adaptive Control Robustness Issues in Adaptive Control Robust Redesign of Adaptive Control in the Presence of Disturbances and Unmodeled Dynamics Model Reference Adaptive Control of Mechanical ManipulatorsRobustness of Adaptive Control Algorithms 1 Disturbance Cancellation and Drift of Adaptive Gains On the Model-Process Mismatch Tolerance of Various Parameter Adaptation Algorithms in Direct Control Schemes: A Sectoricity Approach A Frequency Domain Analysis of Direct Adaptive Pole Placement Algorithms in the Presence of Unmodeled Dynamics Analysis of Robustness of the Inexact Model Matching Structure to Reduced Order Modeling Robustness of Indirect Adaptive Control Based on Pole Placement Design An On-Line Method for Improvement of the Adaptation Transients in Adaptive ControlPoster Session Design of Model-Reference Adaptive Systems - A Comparison of the Stability and the Sensitivity Approach Adaptive Model Reference Parameter Tracking Technique for Aircraft Reduced Control Effort for Self-Tuning Regulators via an Input Window Adaptive Control with Feedforward Compensation and Reduced Reference Model On a Class of Adaptive PID Regulators Robust Design of Adaptive Observers in the Presence of Parasitics Identification of a pH Process Represented by a Nonlinear Wiener Model Deadbeat Adaptive Control in Feedback Information-Theoretic Aspects of Parameter Estimation Model Updating Improves Performance of an MRAC Design Adaptive Control for a Nonlinear Fermentation Process Adaptive Multivariable Control Applied to a Binary Distillation Column Minimum Variance Control for Multivariable Systems with Different Deadtimes in Individual Loops Some Results on Infinite Horizon LQG Adaptive Control Model Reference Adaptive Control System of a Catalytic Fluidized Bed Reactor ODE Method Versus Martingale Convergence Theory Adaptive Control of Non Linear Bacterial Growth Systems Sequential Detection of Abrupt Changes in ARMA ModelsPlenary Session 2 LQG Self-tuners Adaptive Controllers for Discrete-time Systems with Arbitrary Zeros. A Survey Parametrizations for Multivariable Adaptive Systems Lattice Structures for Factorization of Sample Covariance Matrices Real Time Vibration Control of Rotating Circular Plates by Temperature Control and System IdentificationStochastic Adaptive Control Adaptive Control and Identification for Stochastic Systems with Random Parameters New Synthesis Techniques for Finite Time Stochastic Adaptive Controllers Suboptimal Control Laws of Markov Chains: A Stochastic Approximation Approach An Efficient Nonlinear Filter with Application Experiences on Multivariable Adaptive Control and Fault Detection A MV Adaptive Controller for Plants with Time-Varying I/O Transport Delay The Problem of Forgetting Old Data in Recursive EstimationAdaptive Signal Processing The Overdetermined Recursive Instrumental Variable Method Adaptive Identification of Stochastic Transmission Channels Convergence Properties for a Family of Bounded Fixed Step-Size Algorithms A Study of ADPCM Using an RML Parameter Estimator Performance of an Adaptive Array Processor Subjected to Time-Varying Interference Adaptive Techniques for Time Delay Estimation and Tracking Adaptive Estimator of a Filter and its InverseRobustness of Adaptive Control Algorithms 2 Effects of Model Structure, Nonzero D.C.
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