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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

with complicated nonlinear actuator dynamics. This book brings neural networks and fuzzy logic together with dynamical control systems. Each;

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Soft Computing with NeuroFuzzy Systems

-fuzzy systems, neuro-fuzzy inference systems, and neuro-fuzzy control. Section 1 focuses on intelligent neuro-fuzzy models, describing fuzzy;

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Control Systems with Actuator Saturation

Saturation nonlinearities are ubiquitous in engineering systems. In control systems, every physical actuator or sensor is subject to;

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Handbook Of Vehicle Suspension Control Systems

control for uncertain vehicle suspension systems via fuzzy control approach; h-infinity fuzzy control of suspension systems with actuator;

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Adaptive Control Of Systems With Actuator And Sensor Nonlinearities

of the hard nonlinearities of frequently-employed control systems such as dead-zone, backlash and hysteresis. Discusses such nonlinearities at;

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Computational Intelligence

the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy;

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Fuzzy Control of Industrial Systems

Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory;

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Fuzzy Information Processing

, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and;

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CONTROLO 2020

and neuro-fuzzy control, remote and robust control systems, real time an fault tolerant control, among others. Sensors and actuators;

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CONTROLO 2020

and neuro-fuzzy control, remote and robust control systems, real time an fault tolerant control, among others. Sensors and actuators;

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Neural Network Control of Nonlinear Discrete-Time Systems

book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification;

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Control Systems

analyzed with applications such as auto-landing aircraft, industrial process control, active suspension system, fuzzy gain scheduling, PID control;

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Adaptive Compensation of Nonlinear Actuators for Flight Control Applications

adaptive feedback control system and analyzes this for flight control of linear and nonlinear aircraft models using synthetic jet actuators. It;

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Adaptive Compensation of Nonlinear Actuators for Flight Control Applications

adaptive feedback control system and analyzes this for flight control of linear and nonlinear aircraft models using synthetic jet actuators. It;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application;

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Fuzzy and Neuro-Fuzzy Systems in Medicine

Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;

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Fuzzy and Neuro-Fuzzy Systems in Medicine

Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;

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Sliding Mode Control of Semi-Markovian Jump Systems

of novel integral sliding surface. Finally, Takagi-Sugeno fuzzy model approach is brought to deal with system nonlinearities and fuzzy sliding mode;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry;

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Advanced Fuzzy Logic Approaches in Engineering Science

apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches;

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Fuzzy Control

text begins with a detailed introduction to fuzzy systems and control theory, and guides the reader to a thorough understanding of up-to-date;

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Industrial Intelligent Control

With a strong emphasis on applications of intelligent control, this extremely accessible book covers the fundamentals, methodologies;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the;

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Deep Neuro-Fuzzy Systems with Python

of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You'll review;

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