Event-triggered multiobjective control and fault diagnosis: a unified framework

Event-triggered multiobjective control and fault diagnosis: a unified framework

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In this chapter, we deal with a new linear matrix inequality (LMI) approach to the problems of event-triggered multiobjective synthesis of feedback controllers and fault diagnosis filters through a unified framework. Toward this end, at first, we define a general problem known as “event-triggered integrated fault detection, isolation and control” (E-IFDIC). By utilizing a filter to represent, characterize, and specify the E-IFDIC module, we develop a multiobjective formulation of the problem based on H, H-, l1 and generalized H2 performance criteria. It is shown that when an event-triggered strategy is applied to both the sensor and E-IFDIC module, the amount of data that is sent through the sensor-to-E-IFDIC-module-to-actuator channels are dramatically reduced.

Chapter Contents:

  • 5.1 Introduction
  • 5.1.1 Literature review on event-triggered control
  • 5.1.2 Literature review on event-triggered fault diagnosis
  • 5.1.3 Our contributions
  • 5.2 System description and problem formulation
  • 5.2.1 System description
  • 5.2.2 E-IFDIC module and event detector description
  • 5.2.3 Problem formulation
  • 5.3 Main results
  • 5.4 Two industrial case studies
  • 5.5 Conclusion

Inspec keywords: linear matrix inequalities; fault diagnosis; feedback; control system synthesis; H2 control; H∞ control

Other keywords: event-triggered multiobjective synthesis problem; unified framework; E-IFDIC module; feedback controllers; H∞ performance criteria; generalized H2 performance criteria; fault diagnosis filters; l1 performance criteria; linear matrix inequality approach; event-triggered integrated fault detection, isolation and control; sensor-to-E-IFDIC-module-to-actuator channels; LMI approach; H- performance criteria

Subjects: Optimal control; Control system analysis and synthesis methods; Algebra

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