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Stability Analysis and Controller Design of Local Model Networks

This book treats various methods for stability analysis and controller design of local model networks (LMNs). LMNs have proved to be a;

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Fuzzy Control Systems Design And Analysis

stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number;

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Control of Unstable Single and Multi-Variable Systems

, synthesis method, IMC method, pole placement method, stability analysis method, model reference method and two degree of freedom controller method;

Vergelijkbare producten zoals Control of Unstable Single and Multi-Variable Systems

Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Recent Advances in Control Problems of Dynamical Systems and Networks

controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability;

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Model Based Fuzzy Control

objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers;

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Vibration Control Methods of Mechanical Distributed Parameter Systems

comprehensive introduction of mechanical distributed parameter systems, including PDE modeling, controller design and stability analysis. The related;

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Vibration Control Methods of Mechanical Distributed Parameter Systems

comprehensive introduction of mechanical distributed parameter systems, including PDE modeling, controller design and stability analysis. The related;

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Power System Stability & Control

elaboratly discussed.In eight-ten chapters, power system stability has been improved& controlled by desigining an external PSC controller with FACTS;

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Stochastic Control and Filtering over Constrained Communication Networks

controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds;

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Collective Behavior and Formation Pattern of Multi-agent Systems

This book presents both the theoretical foundation and numerical simulations for design and analysis of a multi-agent dynamic system on the;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Stability Analysis and State Estimation of Memristive Neural Networks

In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks;

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Power Flow Control and Stability Analysis using TCSC FACTS Controller

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Power System Modeling, Computation, and Control

Provides students with an understanding of the modeling and practice in power system stability analysis and control design, as well as the;

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Process Control Fundamentals

using Routh table and Nyquits plots. The text also covers basics of relative gain array, multivariable controller design and model predictive;

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System Identification Of Internal Model Control

issue of designing a internal model controller for dealing with the parameter uncertainties existing in the plant. The genetic algorithm;

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Model Free Adaptive Control

control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice;

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Model Free Adaptive Control

control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice;

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Professional Learning Networks in Design-Based Research Interventions

theoretical and practical account of how PLNs focused on collaborative analysis of data can be integrated into design-based research interventions to;

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Local Stability and Ultimate Boundedness in the Control of Robot Manipulators

advantage of local stability design and ultimate boundedness for practical robot control. It addresses researchers and postgraduate students dealing;

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Analysis and Design of Singular Markovian Jump Systems

This monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition;

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Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties

various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family;

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Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties

various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family;

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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing;

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