Control theory

Positive systems

Positive systems constitute a class of systems that has the important property that its state variables are never negative, given a positive initial state. These systems appear frequently in practical applications, as these variables represent physical quantities, with positive sign (levels, heights, concentrations, etc.). The fact that a system is positive has important implications in the control system design. For instance, an asymptotically stable positive linear time-invariant system always admits a diagonal quadratic Lyapunov function, which makes these systems more numerical tractable in the context of Lyapunov analysis. It is also important to take this positivity into account for state observer design, as standard observers (for example Luenberger observers) might give illogical negative values. (Wikipedia).

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From playlist Basic Math

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Related pages

Metzler matrix | Linear time-invariant system | Diagonal matrix | Control system | State observer | Nonnegative matrix | Lyapunov function | Positive feedback