Method for estimating disease incidence of communicable disease dynamic model based on non-linear observers
A dynamic model and disease incidence technology, applied in the application field of infectious disease dynamic model, can solve the problems of poor immediacy and high complexity of theoretical analysis
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[0032] The invention adopts a parameter estimation method based on a nonlinear observer. The nonlinear observer can not only estimate multiple parameters of the system, but also simultaneously estimate state output and parameter quantities. The present invention will be further described below in conjunction with the accompanying drawings and embodiments. However, the present invention is not limited to the following examples.
[0033] The establishment process of nonlinear observation is as follows:
[0034] Consider first the following system: where x is the system state output, u is the control input, and θ is a parameter vector to be estimated. It is assumed here that the state and control vectors are estimates of variable parameter vectors.
[0035] The following nonlinear observers can be constructed:
[0036] θ ^ = - φ ( x ) + z ...
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