The scope of the workshop covers all theories and applications of Variable Structure Systems and Sliding Mode Control

The last of such a workshop in the 20th Century, this workshop aims not only to summarize the state-of-the-art developments in VSS theory and applications, but also identify new promising directions perceived as being important for VSS in the 21st century. The 20th Century has witnessed the formation and consolidation of VSS theory and its applications. It has also witnessed an emerging trend of cross-fertilization and integration of VSS with other control and non-control areas such as feedback linearization, flatness, passivity based control, adaptive control, system identification, pulse width modulation, Hinf, geometric and algebraic methods, artificial intelligence, modelling and optimisation, neural networks, fuzzy logic, etc. This trend will continue and flourish in the new millennium.Special features of the book include a survey paper entitled “VSS Premise of XX Century: Evidences of a Witness” by the father of VSS theory Professor Vadim Utkin and other articles by many authoritative experts in VSS.

Analysis and Compensation of Kinetic Friction in Robotic and Mechatronic Control Systems comprehensively covers kinetic friction in a robotics, mechatronics, and control engineering context. Providing the theory behind kinetic friction, as well as compensation methods and practical solutions, the text is a key companion to studying different control systems. Beginning with a clear introduction to the subject, the book goes on to include three main facets of kinetic friction, starting with phenomena of kinetic friction in drives. This chapter explains friction interfaces and friction effects. Following from this, the next chapter looks at motion dynamics with friction, which introduces dynamic system equations and focuses on both energy balance and dissipation. Finally, the book looks at compensation of friction in motion control, which summarises key compensation methods in controlled mechanical systems. Introducing various basic feedback control methods, including observer-based methods to compensate for kinetic friction, the text provides practical information that can be used in a wide variety of contexts not specific to particular systems or applications. This book will be of interest to students and industry workers in the field of robotics, mechanical systems and control engineering.

The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systems The book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced learning methods. From air traffic data analysis to flight scheduling, geographical information, and navigation, machine learning has become an indispensable tool, offering valuable insights that enhance aerospace operations. Simultaneously, blockchain technology, with its inherent characteristics of decentralization and tamper-proof ledgers, ensures transparency, accountability, and security in transactions, providing an innovative approach to data integrity and system resilience. Designed for technology development professionals, academicians, data scientists, industrial experts, researchers, and students, the book offers a panoramic view of the latest innovations in the field.

This book reflects the latest developments in sliding-mode control (SMC) and variable-structure systems (VSS), comprising contributions by leading researchers and an international range of experts. Such contributions highlight advances in various branches of the field—conventional and higher-order SMC with continuous- and discrete-time implementation and theory and applications both receive attention. The book consists of six parts. In the first, new SMC/VSS algorithms are proposed and their properties are analyzed. The second part focuses on the use of observers to solve the estimation and output-feedback control problems. The third part discusses the discretization aspects of SMC algorithms. Parts IV and V provide important insights on the use of adaptation laws for non-overestimated control gains and chattering alleviation. The last part examines the applications of these SMC/VSS ideas to real-world systems. Sliding-Mode Control and Variable-Structure Systems introduces postgraduates and researchers to the state of the art in the field. It includes theory, methods, and applications relevant to workers in disciplines including control, automation, applied mathematics, electrical and mechanical engineering, instrumentation, electronics, computer science, robotics, transportation, and power engineering. Its clear style and deep exposition help readers to keep in touch with tools that are, thanks to the robustness and insensitivity to perturbations of the SMC/VSS paradigm, among the most efficient for dealing with uncertain systems.