IET, Non-linear Predictive Control, Theory and practice

Model-based predictive control (MPC) has become a highly productive research area and is widely adopted in industry, particularly for process control. Nonlinear model-based predictive control (NMPC) is especially valuable, as it more accurately captures the dynamics of real-world systems. This book compiles key developments in the field, with simulation examples based on industrial models. Topics include feedback linearization, differential flatness, control Lyapunov functions, output feedback, and neural networks. With contributions from leading international experts, this book is essential reading for advanced students, researchers, and industry professionals involved in controlling complex systems.