Parameter Identification: Continuous Time
نویسنده
چکیده
The purpose of this chapter is to present the design, analysis, and simulation of a wide class of algorithms that can be used for online parameter identification of continuous-time plants. The online identification procedure involves the following three steps. Step 1. Lump the unknown parameters in a vector θ∗ and express them in the form of the parametric model SPM, DPM, B-SPM, or B-DPM. Step 2. Use the estimate θ of θ∗ to set up the estimation model that has the same form as the parametric model. The difference between the outputs of the estimation and parametric models, referred to as the estimation error, reflects the distance of the estimated parameters θ(t) from the unknown parameters θ∗ weighted by some signal vector. The estimation error is used to drive the adaptive law that generates θ(t) online. The adaptive law is a differential equation of the form
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