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The chapter discusses the state space model.
This corresponds to a classical state space model.
This paper proposes a state space model without these assumptions.
The basic hypothesis in using the vector space model for classification is the contiguity hypothesis.
It was an "unconference" on the open space model, with session topics chosen by participants.
Section 6.4 develops several variants of term-weighting for the vector space model.
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The controller and the state-space model are verified experimentally.
The impulse response terms for are known as the Markov parameters of the state-space model.
Figure 1.7: Discrete-time state-space model viewed as a state predictor, or finite state machine.
The configuration-space model can be built from a cross product of such complexes.
ss2zp -- Convert state-space model to zeros, poles, and a gain.
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