2014
DOI: 10.1137/120866348
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Finite Horizon $H^\infty$ Control for a Class of Linear Quantum Measurement Delayed Systems: A Dynamic Game Approach

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Cited by 10 publications
(19 citation statements)
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“…Similarly, if the LMIs (35) and (36) have feasible solutions and the controller is defined as in (37)- (39), then the closedloop system (20) is strictly bounded real with the disturbance attenuation g. Proof. According to Theorem 4, this theorem can be proved in a straightforward way using the corresponding classical H ∞ control results in [47].…”
Section: A(f(t)) Takes Finite Values Inmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, if the LMIs (35) and (36) have feasible solutions and the controller is defined as in (37)- (39), then the closedloop system (20) is strictly bounded real with the disturbance attenuation g. Proof. According to Theorem 4, this theorem can be proved in a straightforward way using the corresponding classical H ∞ control results in [47].…”
Section: A(f(t)) Takes Finite Values Inmentioning
confidence: 99%
“…While [23] only considered the cases of time-invariant quantum systems, in practical applications, time-varying linear quantum systems are often encountered. A dynamic game approach to designing a classical H ∞ controller for a class of timevarying linear quantum systems has been proposed in [35], by recognising the equivalence between a quantum system and a corresponding auxiliary classical stochastic system. A linear quadratic Gaussian (LQG) optimal controller has been designed in [36] to optimize the squeezing level achieved in one of the quadratures of the fundamental optical field for the time-varying quantum systems.…”
mentioning
confidence: 99%
“…For the same plant, the finite horizon dynamic game theory approach was applied in [94], and the solving process was proved equivalent to solving a corresponding deterministic continuous-time problem with imperfect state information. The finite horizon H ∞ control problem in [94] was then extended to the case of delayed measurements in [95]. …”
Section: Robust Controlmentioning
confidence: 99%
“…Thus, more and more attention has been paid to it by researchers from different perspectives. Some of the previous researches have focused on the H ∞ control/filtering problem for time-varying system [20]- [26], and several kinds of approaches have been used for solving this problem, including the game theoretical approach [21], [22], the differential/difference linear matrix inequality (DLMI) and recursive linear matrix inequality(RLMI) approach [23], [24], and the backward recursive Riccati difference equation approach [23], [25], [26]. On the other hand, the control objects sometimes are required to be completed in a limited time, such as missile interception, satellite orbit, etc..…”
Section: Introductionmentioning
confidence: 99%