SIAM Journal on Numerical Analysis, Vol. 14, No. 2 (Apr., 1977), pp. 180-193 (14 pages) Kalman [9] introduced a method for estimating the state of a discrete linear dynamic system subject to noise.

Unified treatment of continuous and discrete time systems from a state-variable viewpoint; emphasis on linear systems. Concept of state, writing and solving state equations, controllability and ...

Epilepsy is a disorder characterized by paroxysmal transitions between multistable states. Dynamical systems have been useful for modeling the paroxysmal nature of seizures. At the same time, ...

High-fidelity simulations of dynamic embedded systems can be invaluable. This follow-up to “Modeling Dynamic Systems” (August 2000) presents some techniques and algorithms you might find useful. In a ...

This article shows a common approach to the simulation of electromechanical problems. A parametric set of 3D magnetostatic simulations are carried out using CST EM Studio (CST EMS) on a linear ...

We often encounter nonlinear dynamical systems that behave unpredictably, such as the earth's climate and the stock market. To analyze them, measurements taken over time are used to reconstruct the ...