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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Non-Linear Predictive Control: Theory and Practice

Non-Linear Predictive Control: Theory and Practice

Kouvaritakis, Basil
Cannon, Mark

Hardcover

Series: Control, Robotics and Sensors

Technology & EngineeringGeneral Mathematics

ISBN10: 0852969848
ISBN13: 9780852969847
Publisher: Institution Of Engineering & T
Published: Oct 26 2001
Pages: 276
Weight: 1.10
Height: 0.70 Width: 6.10 Depth: 9.40
Language: English

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.

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