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- Hendra G. Harno, Ian R. Petersen
- CDC
- 2009

- Hendra G. Harno, Ian R. Petersen
- IEEE Trans. Automat. Contr.
- 2015

We propose a new method to construct an optimal linear coherent quantum controller based on an evolutionary optimization method, namely a differential evolution algorithm. The aim is to provide a straightforward approach to deal with both nonlinear and nonconvex constraints arising in the coherent quantum controller synthesis. The solution to this control… (More)

- Hendra G. Harno, Ian R. Petersen
- CCA
- 2010

- Hendra G. Harno, Ian R. Petersen
- Int. J. Control
- 2011

Abstract: We present a systematic method to synthesize a decentralized coherent quantum robust H controller for a class of large-scale linear complex quantum stochastic systems with norm-bounded structured uncertainties. The H control objective is to obtain a closed loop uncertain quantum system, which is strict bounded real with a specified disturbance… (More)

We present a systematic method to synthesize a coherent quantum robust H controller for a class of linear complex quantum stochastic systems, which is defined only in terms of annihilation operators, with norm-bounded structured uncertainties. This controller is required to be stable and strict bounded real in order to be physically realizable. The main… (More)

- Hendra G. Harno, Ian R. Petersen
- 2010 IEEE International Conference on Control…
- 2010

This paper presents a procedure to synthesize a decentralized coherent robust H<sup>∞</sup> quantum controller for a class of large-scale uncertain linear complex quantum stochastic systems with a norm-bounded unstructured uncertainty. The H<sup>∞</sup> control objective is to obtain a strictly bounded real closed loop uncertain quantum system… (More)

H ∞ control problem using a stable nonlinear output feedback controller is presented in this paper. The particular class of nonlinear uncertain systems being considered is characterized in terms of Integral Quadratic Constraints and Global Lipschitz Conditions describing the admissible uncertainty and nonlinearity, respectively. The nonlinear controller is… (More)

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