About the book
This book will attempt to encompass theoretical advances in robust adaptive control systems embedded in a diversity of applications, covering classical fields like processes as well as robotics, autonomous vehicles, artificial intelligence, among others. Complexity in dynamical systems is often associated with particularities in the dynamics like nonlinearities, incomplete modeling, uncertainties, disturbances, time varying parameters and even potential faults. These particularities pose challenges in the design of control systems in order to achieve good performance, robustness and disturbance rejection. Thereupon robust enhancement and controller adaptation plays an important role in many practical uncertain scenarios. In addition to the now classical techniques for adaptive controller design like backstepping, speed gradient, sliding mode control, other new ones such as time-delayed control and an abundant group of intelligent control laws are appended. On the other side, accompanying the adaptive control law, an extensive pool of robust control methodologies has been proposed recently along with the most established ones. This book aims to overview the state-of-the-art in this matter.