Feedback Control

Linear, Nonlinear and Robust Techniques and Design with Industrial Applications

Stephen J. Dodds

Engineering (R0)

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Idioma:English
ISBN:9781447166757
Fecha de lanzamiento:2 nov 2016
Editorial:Springer London

Edición:Springer
Formato de archivo:EPUB2
Tamaño de archivo:23.51 MB
Opciones de descarga:EPUB2 (Adobe DRM)

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Feedback Control

¿Por qué leer con nosotros?

Sinopsis

Acerca de este libro

Detalles del libro

Cómo leer

Lecturas relacionadas

Scheduling

Robust Control Design with MATLAB®

Non-parametric Tuning of PID Controllers

Iterative Learning Control

Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB

Case Studies in Control

Emerging Applications of Control and Systems Theory

Event-Based State Estimation

Nonlinear Model Predictive Control

Vector Control of Induction Machines

Strategies for Feedback Linearisation

Electrical Machines

Modeling, Simulation, and Control of a Medium-Scale Power System

Industrial Process Identification and Control Design

System Identification

Distributed-Order Dynamic Systems

Power, Control and Optimization

Process Intensification Technologies for Biodiesel Production

Nonlinear Model Predictive Control

Control of Integral Processes with Dead Time

Networked and Distributed Predictive Control

Machining Dynamics

Drives and Control for Industrial Automation

Process Intensification in Chemical Engineering

Antenna Fundamentals for Legacy Mobile Applications and Beyond

Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

Hierarchical Sliding Mode Control for Under-actuated Cranes

Nonlinear Control Synthesis for Electrical Power Systems Using Controllable Series Capacitors

Web-Based Control and Robotics Education

Finite-Time Stability and Control

Centrifugal Pumps

Servo Motors and Industrial Control Theory

Variable Structure Control of Complex Systems

Search Techniques in Intelligent Classification Systems

Advances in Distillation Retrofit

Model Predictive Control

Advanced Microsystems for Automotive Applications 2001

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Model-Reference Robust Tuning of PID Controllers

The Motor Car

Model-Based Fault Diagnosis Techniques

Advances in Robust Fractional Control

Complex System Modelling and Control Through Intelligent Soft Computations

Energy, Information, Feedback, Adaptation, and Self-organization

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Lecturas relacionadas

Scheduling

Robust Control Design with MATLAB®

Non-parametric Tuning of PID Controllers

Iterative Learning Control

Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB

Case Studies in Control

Emerging Applications of Control and Systems Theory

Event-Based State Estimation

Nonlinear Model Predictive Control

Vector Control of Induction Machines

Strategies for Feedback Linearisation

Electrical Machines

Modeling, Simulation, and Control of a Medium-Scale Power System

Industrial Process Identification and Control Design

System Identification

Distributed-Order Dynamic Systems

Power, Control and Optimization

Process Intensification Technologies for Biodiesel Production

Nonlinear Model Predictive Control

Control of Integral Processes with Dead Time

Networked and Distributed Predictive Control