Positive 1D and 2D Systems
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Beschreibung
Demand for Randomized Algorithms for Analysis and Control of Uncertain Systems will come from theoretical control engineers who wish to apply more workable methods to a wide variety of uncertainties (a high proportion of control systems) and from practicing engineers who need a middle path between the restrictive demands of robust control and the unnecessary complications of optimal control.
Will give the reader tools for dealing with uncertainty in control systems which are more advanced and flexible than either traditional optimal control or robust control. Reduces the computational cost of high-quality control and the complexity of the algorithms involved making similar results achievable with less effort by the user.
Autor*in
Tadeusz Kaczorek
Themen in »Positive 1D and 2D Systems«
1D Linear Systems 2D Linear Systems Applied Mathematics Control Systems Theory Discrete-time systems Monte Carlo Method Positive Continuous-time systems algorithms calculus complexity