Name: Non-linear Predictive Control By Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)
SKU: 9780852969847
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Non-linear Predictive Control Summary

Non-linear Predictive Control: Theory and practice by Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

Model-based predictive control (MPC) has proved to be a fertile area of research. It has gained enormous success within industry, especially in the context of process control. Nonlinear model-based predictive control (NMPC) is of particular interest as this best represents the dynamics of most real plant. This book collects together the important results which have emerged in this field, illustrating examples by means of simulations on industrial models. In particular there are contributions on feedback linearisation, differential flatness, control Lyapunov functions, output feedback, and neural networks. The international contributors to the book are all respected leaders within the field, which makes for essential reading for advanced students, researchers and industrialists in the field of control of complex systems.

About Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

Basil Kouvaritakis is Professor of Engineering Science at Oxford University and has been researching MPC and computationally efficient NMPC for the last 12 years, publishing over 50 papers on the subject. Mark Cannon is departmental lecturer at the Engineering Department at Oxford University and has been working on MPC for the past 5 years, including the development of computationally efficient NMPC.

Part I
Chapter 1: Review of nonlinear model predictive control applications
Chapter 2: Nonlinear model predictive control: issues and applications
Part II
Chapter 3: Model predictive control: output feedback and tracking of nonlinear systems
Chapter 4: Model predictive control of nonlinear parameter varying systems via receding horizon control Lyapunov functions
Chapter 5: Nonlinear model-algorithmic control for multivariable nonminimum-phase processes
Part III
Chapter 6: Open-loop and closed-loop optimality in interpolation MPC
Chapter 7: Closed-loop predictions in model based predictive control linear and nonlinear systems
Chapter 8: Computationally efficient non linear predictive control algorithm for control of constrained nonlinear systems
Part IV
Chapter 9: Long-prediction-horizon nonlinear model predictive control
Chapter 10: Nonlinear control of industrial processes
Chapter 11: Nonlinear model based predictive control using multiple local models
Chapter 12: Neural network control of a gasoline engine with rapid sampling

Additional information

Sku

NPB9780852969847

ISBN 13

9780852969847

ISBN 10

0852969848

Title

Non-linear Predictive Control: Theory and practice by Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

Author

Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

Series

Control, Robotics and Sensors

Condition

New

Binding type

Hardback

Publisher

Institution of Engineering and Technology

Year published

2001-10-26

Number of pages

276

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Non-linear Predictive Control Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

Non-linear Predictive Control by Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

Summary

Non-linear Predictive Control Summary

Non-linear Predictive Control: Theory and practice by Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

About Basil Kouvaritakis (Professor of Engineering Science, Oxford University, UK)

Table of Contents

Additional information

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