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Optimal Measurement Methods for Distributed Parameter System Identification

moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification;

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Linear Parameter-varying System Identification

This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned;

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Regional Analysis of Time Fractional Diffusion Processes

distributed-parameter systems with mobile actuators/sensors, optimal parameter identification, optimal locations/trajectory of actuators/sensors and;

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Recursive Identification and Parameter Estimation

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation;

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Recursive Identification and Parameter Estimation

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation;

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Vibration Control Methods of Mechanical Distributed Parameter Systems

This book aims at investigating PDE modeling and vibration control of some typical mechanical distributed parameter systems. Several;

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Vibration Control Methods of Mechanical Distributed Parameter Systems

This book aims at investigating PDE modeling and vibration control of some typical mechanical distributed parameter systems. Several;

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Optimization of Distributed Parameter Structures - Volume I

1970-1980. Part I of the pro ceedings addresses optimality criteria methods for analyzing and solving problems of distributed parameter;

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Identification of Continuous-Time Systems

. In this book: Identification of Continuous-Time Systems-Linear and Robust Parameter Estimation, Allamaraju Subrahmanyam and Ganti Prasada Rao;

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Cooperative Optimal Control of Hybrid Energy Systems

, and distributed optimal control for coordination among power generators. Readers can learn novel methods or technique for tackling with the;

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Cooperative Optimal Control of Hybrid Energy Systems

, and distributed optimal control for coordination among power generators. Readers can learn novel methods or technique for tackling with the;

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Mathematical Control Theory for Stochastic Partial Differential Equations

This is the first book to systematically present control theory for stochastic distributed parameter systems, a comparatively new branch;

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ModelBased Processing

A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system;

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Modern Optimization Techniques for Smart Grids

measurement units (PMUs), enhancing distribution system performance using the optimal placement of distributed generations (DGs) and/or capacitor;

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Signal Analysis for Radio Monitoring

hopping system with short bursts. Step by step the reader gets an introduction to the different methods for measurement of the main parameter of a;

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Hydraulic Parameter Identification

Hydraulic parameter identification is a crucial step in hydrogeological investigations. The book proposes a unique and generalized;

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Hydraulic Parameter Identification

Hydraulic parameter identification is a crucial step in hydrogeological investigations. The book proposes a unique and generalized;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Identification Of Dynamic Systems

experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification;

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Adaptive Learning Methods for Nonlinear System Modeling

methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes;

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System Dynamics

Addressing topics from system elements and simple first- and second-order systems to complex lumped- and distributed-parameter models;

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H-Infinity-Control for Distributed Parameter Systems

distributed parameter systems contain models for delay systems, as well as partial differential equations, and allow for unbounded inputs and outputs.;

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New Trends in Parameter Identification for Mathematical Models

The Proceedings volume contains 16 contributions to the IMPA conference New Trends in Parameter Identification for Mathematical Models;

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Functional Analysis and Linear Control Theory

to distributed parameter systems. A comprehensive set of references concludes the text.;

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Evidence-Based Productivity Improvement

This new book explains the Productivity Measurement and Enhancement system (ProMES) and how it meets the criteria for an optimal;

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Control, Identification, and Input Optimization

This book is a self-contained text devoted to the numerical determination of optimal inputs for system identification. It presents the;

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