Temporal analysis - Part 2 : Non-linear Markov systems

Non-linear Markov systems
Temporal analysis - Part 2

Author : Raymond HANUS

Publication date: March 10, 2007 | Lire en français

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2. Non-linear Markov systems

2.1 Scalable systems

We limit our overview of nonlinear systems to Markovian systems of the form : ${\begin{array}{l} \overset{\cdot}{x} (t) = f (x (t), u (t), ϑ (t)) \\ y (t) = g (x (t), u (t), ϑ (t)) \end{array}$

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References

(1) - ANSARI (R.M.), TADÉ (M.O.) - Non-linear Madel-based Process Control. - Springer (2000).
(2) - ÅSTRÖM (K.), ALBERTOS (P.), BLANKE (M.), ISIDORI (A.), SCHAUFELBERGER (W.), SANZ (R.) - Control of Complex Systems. - Springer (2001).

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Non-linear Markov systems Temporal analysis - Part 2

2. Non-linear Markov systems

2.1 Scalable systems

References

Non-linear Markov systems
Temporal analysis - Part 2