This book introduces a unified framework for control and detection that brings together concepts from the unified design of control and detection systems and extends them into a comprehensive methodology for analysing and synthesising control, fault diagnosis, and fault-tolerant control systems. A one-to-one mapping from process inputoutput signals to residual and latent variables forms the foundation of this framework, enabling consistent analysis of control and detection behaviour across a wide spectrum of dynamic systems and supporting the uniform and optimal design of advanced control and diagnosis schemes. This signal subspace based formulation provides an effective means of addressing uncertainties and faults within the residual subspace while simultaneously creating a common platform that integrates traditionally independent research paradigms: model-based, data-driven, and machine learning-aided methods for control and diagnosis. By bridging these domains, the framework fosters new possibilities for innovative and cohesive design methodologies. A particularly impactful application is in secure cyber-physical systems (CPSs), where the effects of cyber-attacks and technical faults are modelled in distinct subspaces, thereby enabling simultaneous fault and attack detection as well as unified strategies for fault-tolerant and resilient control.

Provides feedback control from the information (residual) aspect and the unified framework of control and detection Gives mathematical concepts and tools in the well-established control and detection paradigms Includes integrated design of control and diagnostic units for complex and cyber-physical control systems (CPCSs)

Inhalt

Introduction.- System factorisations, kernel and image representations and subspaces.- Parameterisations of feedback controllers and observers.- Variations of stabilising controller parameterisations.- The unified framework for linear time varying systems.- Unified framework for nonlinear systems.- Perspectives, extensions, and applications.- Revisit of fault detection methods, and some new and modified schemes.- A new paradigm of fault diagnosis for dynamic systems.- Projection based fault classification.- Projection based fault diagnosis schemes for nonlinear dynamic systems.- Estimation, estimation based control and performance recovery.- Control and detection methods of finite samples system representations.- Analysis of industrial cyber physical systems under cyber attacks.- Detection of cyber attacks and faults, and resilient CPS.- Resilient and fault tolerant control of CPSs under cyber attacks.- A survey of the unified framework of control and detection.