Non-Linear Predictive Control: Theory and Practice

Herausgeber: Kouvaritakis, Basil; Cannon, Mark

• Gebundenes Buch

Produktbeschreibung

This book collates the important results which have emerged in the field of non-linear model based predictive control. Feedback linearisation, differential flatness, control Lyapunov functions, output feedback and neural networks are all discussed.

Produktdetails

• Control, Robotics and Sensors
• Verlag: Institution of Engineering & Technology
• Seitenzahl: 276
• Erscheinungstermin: Oktober 2001
• Englisch
• Abmessung: 239mm x 155mm x 18mm
• Gewicht: 499g
• ISBN-13: 9780852969847
• ISBN-10: 0852969848
• Artikelnr.: 51769677

Inhaltsangabe

* 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