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This book proposes a number of contributions that try to overcome the current limitations of the state-of-the-art to make the direct data-driven design technology competitive with model-based alternatives. Moreover, challenging modeling problems in modern engineering systems are addressed in a novel way to show both the methods and the implementation tricks that potentially make an application successful. The book is structured in two parts. The first part is dedicated to application-oriented system identification and proposes four contributions in which existing techniques are complemented with additional tools to deal with challenging real-world problems. The second part is devoted to data-driven design and deals with the estimation of application-oriented parameters as well as direct identification of controllers and filters within complex scenarios.

Chapter Contents:

  • 1.1 Introduction
  • 1.2 State-of-the-art
  • 1.3 Goals and structure of the book
  • References

Inspec keywords: control system synthesis; filtering theory; control systems; identification

Other keywords: data-driven filtering; application-oriented system identification; application-oriented parameters; filters; data-driven design; controllers; data-driven control; data-driven modeling

Subjects: Control system analysis and synthesis methods; Simulation, modelling and identification; Signal processing theory; Specific control systems

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