This book presents general, yet practical, methods for the synthesis of nonlinear feedback control systems for chemical processes described by nonlinear and hybrid systems. The key practical issues of model uncertainty, constraints in the capacity of the control actuator and dead-time in the measurement sensors/control actuators are explicitly accounted in the process model and dealt in the controller design. The controllers use process measurements to achieve stabilization of the closed-loop system, attenuation of the effect of the uncertain variables (unknown processes parameters and external disturbances) on process outputs, and force the controlled output to follow the reference input.The synthesis of the controllers is primarily based on Lyapunov techniques. Explicit formulas for the controllers which can be readily used for controller synthesis in specific applications are provided. The methods are applied to numerous examples in detail and are shown to outperform existing approaches. The book includes discussions of practical implementation issues that can help engineers and researchers understand the application of the methods in
greater depth.