Nonlinear stochastic control and filtering systems constitute a branch of control theory and signal processing concerned with the behaviour, regulation and estimation of systems whose dynamics combine ...
Concerned with the founding principles of optimal filters, this text presents several reminders about both random vectors and Gaussian vectors, and allows readers to tackle digital filtering.
Complex behaviour in many systems arises from the stochastic interactions of spatially distributed particles or agents. Stochastic reaction–diffusion processes are widely used to model such behaviour ...
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