Algebraic Identification and Estimation Methods in Feedback by Hebertt Sira-Ramírez

By Hebertt Sira-Ramírez

Algebraic identity and Estimation tools in suggestions keep an eye on Systems provides a model-based algebraic method of on-line parameter and country estimation in doubtful dynamic suggestions keep an eye on platforms. This process evades the mathematical intricacies of the conventional stochastic strategy, offering a right away model-based scheme with numerous easy-to-implement computational benefits. The procedure can be utilized with non-stop and discrete, linear and nonlinear, mono-variable and multi-variable structures. The estimators in accordance with this technique usually are not of asymptotic nature, and don't require any statistical wisdom of the corrupting noises to accomplish solid functionality in a loud setting. those estimators are speedy, powerful to dependent perturbations, and simple to mix with classical or subtle keep an eye on laws.

This ebook makes use of module idea, differential algebra, and operational calculus in an easy-to-understand demeanour and likewise information how you can practice those within the context of suggestions keep watch over structures. a wide selection of examples, together with mechanical structures, strength converters, electrical cars, and chaotic platforms, also are incorporated to demonstrate the algebraic methodology. 

Key features:

  • Presents a appreciably new method of on-line parameter and nation estimation.
  • Enables the reader to grasp the use and comprehend the implications of the hugely theoretical differential algebraic standpoint on top of things platforms theory.
  • Includes examples in quite a few actual purposes with experimental results.
  • Covers the newest advancements and applications.

Algebraic identity and Estimation equipment in suggestions keep watch over Systems is a finished reference for researchers and practitioners operating within the zone of computerized keep watch over, and is additionally an invaluable resource of knowledge for graduate and undergraduate students.

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