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Introduction

Introduction

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Integrated Fault Diagnosis and Control Design of Linear Complex Systems — Recommend this title to your library

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Associated with the increasing demands for higher system performance and enhanced product quality on one hand and improved cost efficiency on the other hand, complexity and automation levels of engineering processes are continuously growing. These trends and challenges call for development of stringent system safety and reliability requirements. In order to achieve this goal, systems should have the capability to detect and isolate the occurrence of possible faults and at the same time reconfigure their control algorithms to compensate for these anomalies. However, in most modern control systems that are equipped with fault detection capabilities, it is highly desirable to unify and integrate the control and fault detection modules into a single unit. Motivation for this is drawn from the fact that majority of control and detection schemes implement a type of state observer or filter. Hence, it is plausible that an integrated fault detection and control (IFDC) design would lead to a far less overall complexity as compared to a design where the two modules are designed separately. The main objective of this book is to explore the advantages, capabilities, and benefits of developing simultaneous fault diagnosis and control (SFDC) methodologies for complex linear systems.

Chapter Contents:

  • 1.1 Statement of the problem
  • 1.2 Literature review
  • 1.2.1 Fault diagnosis
  • 1.2.2 Integrated fault detection and control
  • 1.2.3 Multiagent systems
  • 1.2.4 Cooperative control and consensus control concepts and notions
  • 1.2.5 Applications
  • 1.2.6 Cooperative control
  • 1.2.7 Formation control
  • 1.2.8 Flocking/swarming-based approaches
  • 1.2.9 Consensus algorithms
  • 1.3 Features and objectives of the book
  • 1.4 Outline of the book
  • 1.5 Notations and preliminary lemmas

Inspec keywords: large-scale systems; control system synthesis; fault diagnosis; observers; linear systems

Other keywords: integrated fault diagnosis; state observer; SFDC methodologies; fault isolation; simultaneous fault diagnosis and control methodologies; enhanced product quality; control algorithms; reliability requirements; automation levels; linear complex systems; IFDC design; system performance; integrated fault detection and control design; fault detection modules; system safety; improved cost efficiency; filter; engineering processes

Subjects: Simulation, modelling and identification; Control system analysis and synthesis methods; Multivariable control systems

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