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Sampled-Data Models for Linear and Nonlinear Systems

Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think;

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Nonlinear Model Reduction by Moment Matching

reduction for nonlinear systems or, at least, not as complete as the theory developed for linear systems. This monograph presents, in a uniform and;

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Nonlinear System Techniques and Applications

practical techniques currently available for analyzing and identifying nonlinear systems from random data measured at the input and output points;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's "Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS" is devoted to the;

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Generalized Linear and Nonlinear Models for Correlated Data

Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the;

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Event-Triggered Control of Switched Linear Systems

dynamic systems in terms of sampled-data control, hysteresis switching control, and fault-tolerant control. This book presents several;

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Optimal Networked Control Systems with MATLAB

in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite;

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Optimal Networked Control Systems With MATLAB

in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite;

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Computer Methods for Analysis of Mixed-Mode Switching Circuits

of mixed-mode switching circuits, -Network functions of linear and nonlinear time-varying systems, -Numerical Laplace inversion based integration;

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Nonlinear Time Series Analysis

and methods and review the improvements upon linear time series models. The need for this book is based on the recent developments;

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Delays and Interconnections

methods for stability analysis and control design are based on time-domain and frequency-domain approaches, for continuous-time and sampled-data;

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Stability and Control of Nonlinear Time-varying Systems

qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise;

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Stability and Control of Nonlinear Time-varying Systems

qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise;

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Time Series Modeling of Neuroscience Data

approach, in which dynamic models of all kinds, such as linearnonlinear differential equation models and time series models, are used for;

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Nonlinear and Adaptive Control Systems

An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar;

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Partially Linear Models

efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and;

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Control of Uncertain Sampled-Data Systems

My main goal in writing this monograph is to provide a detailed treatment of uncertainty analysis for sampled-data systems in the context;

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Nonlinear Industrial Control Systems

, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised;

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Linear and Nonlinear Instabilities in Mechanical Systems

Linear and Nonlinear Instabilities in Mechanical Systems: Analysis, Control and Application Hiroshi Yabuno, University of Tsukuba, Japan An;

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Multivariable Dual-Range Linear Controller Design For Nonlinear System

linear controller. In this book, a dual-range linear controller design methodology for multivariable nonlinear systems and linear systems with;

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The Essentials of Linear State-Space Systems

Provides a thorough introduction to the properties of linear, time--invariant models of dynamical systems, as required for further work;

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Short-Memory Linear Processes and Econometric Applications

(CLTs) for weighted sums of short memory linear processes. This part contains the analysis of certain operators in Lp spaces and their;

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Advanced Control Systems

criteria, Bode plot, Nyquist plot, Lyapunov's and function methods. Furthermore, it also introduces the sampled-data control systems explaining the;

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Design Analysis

engineering systems have become more complex, classic linear methods of modeling and analysis have proved inadequate, creating a need for nonlinear;

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Stochastic Modelling and Control

This book aims to provide a unified treatment of input/output modelling and of control for discrete-time dynamical systems subject to;

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Nonlinear System Identification

Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for;

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Adaptive Learning Methods for Nonlinear System Modeling

systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate;

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