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, ...

Essentials for constructing a wide-dynamic-range system, including the application of switching or adaptive systems. Comparing multichannel vs. linear receivers. Analysis of how models react with ...

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 ...