5. Linear system, quadratic criterion

5.1 General case

The evolution of the process is described by the equations : $\dot{x} = A (t) x + B (t) u$

y = C (t ) x

ε = y ^c – y

y ^c here represents the setpoint and ε the error vector at time t . The case y...

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Linear system, quadratic criterion

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(1) - ASTRÖM (K.J.) - Introduction to stochastic control theory, - Academic Press (1970).
(2) - BORNE (P.), DAUPHIN-TANGUY (G.), RICHARD (J.P.), ROTELLA (F.), ZAMBETTAKIS (I.) - Commande et optimisation des processus, - Technip (1990).

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