Volume 27, 2021Regular articles published in advance of the transition of the journal to Subscribe to Open (S2O). Free supplement sponsored by the Fonds National pour la Science Ouverte
|Number of page(s)||18|
|Published online||01 March 2021|
The difference and unity of irregular LQ control and standard LQ control and its solution*
Shandong University of Science and Technology,
Shandong, P.R. China
(most of the work was carried out in Shandong University).
2 School of Control Science and Engineering of Shandong University, Shandong, P.R. China.
** Corresponding author: firstname.lastname@example.org
Accepted: 27 October 2020
Irregular linear quadratic control (LQ, was called Singular LQ) has been a long-standing problem since 1970s. This paper will show that an irregular LQ control (deterministic) is solvable (for arbitrary initial value) if and only if the quadratic cost functional can be rewritten as a regular one by changing the terminal cost x′(T)Hx(T) to x′(T)[H + P1(T)]x(T), while the optimal controller can achieve P1(T)x(T) = 0 at the same time. In other words, the irregular controller (if exists) needs to do two things at the same time, one thing is to minimize the cost and the other is to achieve the terminal constraint P1(T)x(T) = 0, which clarifies the essential difference of irregular LQ from the standard LQ control where the controller is to minimize the cost only. With this breakthrough, we further study the irregular LQ control for stochastic systems with multiplicative noise. A sufficient solving condition and the optimal controller is presented based on Riccati equations.
Mathematics Subject Classification: 93E20 / 49K15
Key words: Irregular / LQ control / Riccati equation / Stochastic control
This work is supported by the National Natural Science Foundation of China under Grants 61633014, 61873332, U1806204, U1701264, 61922051, the foundation for Innovative Research Groups of National Natural Science Foundation of China (61821004) and Youth Innovation Group Project of Shandong University (2020QNQT016).
© EDP Sciences, SMAI 2021
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