Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach - Image 1

Price loading...

Springer Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach

Name: Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach
Brand: Springer

Automotive

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 1447174550
Category: Books > Subjects > Reference > Transport > Automotive
Domain: Amazon UK
Release Date: 20 May 2020
Listed Since: 11 July 2019

Barcode

No barcode data available

Springer Nonlinear Industrial Control Systems: Optimal Polynomial Systems and State-Space Approach

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Industrial Control Systems Design

Feedback Control: Linear, Nonlinear and Robust Techniques and Design with Industrial Applications (Advanced Textbooks in Control and Signal Processing)

Nonlinear Control Systems using MATLAB®

Nonlinear Systems and Controls

Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)

Linear and Nonlinear Multivariable Feedback Control: A Classical Approach

Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® (Advances in Industrial Control)

True Digital Control: Statistical Modelling and Non-Minimal State Space Design

Control Theory: Multivariable and Nonlinear Methods

Springer Networked and Distributed Predictive Control Book

Industrial PID Controller Tuning: With a Multiobjective Framework Using MATLAB® (Advances in Industrial Control)

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® (Advances in Industrial Control)

Multivariable Feedback Control: Analysis and Design

Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control)

Springer Industrial Process Identification and Control Design

Nonlinear Control of Engineering Systems: A Lyapunov-Based Approach

Industrial PID Controller Tuning: With a Multiobjective Framework Using MATLAB® (Advances in Industrial Control)

Springer - Model-based Nonlinear Control of Aeroengines

Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals to Applications (Advances in Industrial Control)

Discrete-Time Inverse Optimal Control for Nonlinear Systems (System of Systems Engineering)

Discrete-Time Inverse Optimal Control for Nonlinear Systems (System of Systems Engineering)

Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)

Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals to Applications (Advances in Industrial Control)