Applying matrix methods to optimal control of distributed parameter systems.
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abstract
For the optimal control of a nonlinear distributed-parameter system (DPS) with an index containing partial differential operators in the spatial variables, deriving a costate system equation and the associated boundary and final conditions in component notations is very tedious and complicated. Matrix methods, which provide structural and operational convenience, are introduced into the derivations. A costate system equation for the final state of a DPS and that consists of partial differential operators up to the fourth order and a cost index with first-order partial differential operator is given in a compact matrix form. The use of the methods is demonstrated for two problems in optimal control.