Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive control design metho

This book examines control of nonlinear systems. Coverage ranges from mathematical system theory to practical industrial control applications. The author offers

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for no

Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is th

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discret