In control theory, sliding mode control, or SMC, is a nonlinear control method that alters the dynamics of a nonlinear system by application of a discontinuous control signal that forces the system to 'slide' along a cross-section of the system's normal behaviour. This book describes recent advances in the theory, properties, methods and applications of SMC.

• Part 1: Novel sliding mode algorithms
• Chapter 1.1: Lyapunov approach to higher-order sliding mode design
• Chapter 1.2: Sliding surface design for higher-order sliding modes
• Chapter 1.3: Robust output control of systems subjected to perturbations via high-order sliding modes observation and identification
• Chapter 1.4: Construction of Lyapunov functions for high-order sliding modes
• Part 2: Properties of sliding mode algorithms
• Chapter 2.1: Homogeneity of differential inclusions
• Chapter 2.2: Minimax observer for sliding mode control design
• Chapter 2.3: L₂-Gain analysis of sliding mode dynamics
• Chapter 2.4: Analysis of transient motions in variable-structure systems through the dynamic harmonic balance principle
• Part 3: Discretization of sliding-mode controllers
• Chapter 3.1: On discretization of high-order sliding modes
• Chapter 3.2: Experimental results on implicit and explicit time-discretization of equivalent control-based sliding mode control
• Chapter 3.3: A generalized reaching law for discrete-time sliding mode
• Part 4: Applications
• Chapter 4.1: Conventional and adaptive second-order sliding mode control of a wind energy conversion system
• Chapter 4.2: Sliding mode control of a fuel cell-based electric power system: multiple modular configurations
• Chapter 4.3: Networked model-based event-triggered sliding mode control
• Chapter 4.4: Step-by-step super-twisting observer for DC series motor in the presence of magnetic saturation
• Chapter 4.5: Sliding mode control of LCL full-bridge rectifiers
• Chapter 4.6: Adaptive solutions for robust control of electropneumatic actuators